Ready, set, recipes! Here are our just published, fresh-out-the-mill recipes in one convenient place! These are the top vegan recipes of the day, and are now a part of the thousands of recipes on ourFood Monster App! Our newest recipes includes orange chickn and pudding so if youre looking for something new and delicious, these recipes are it!

We also highly recommend downloading the Food Monster App with over 15,000 delicious recipes it is the largest meatless, vegan, plant-based and allergy-friendly recipe resource to help you get healthy! And, dont forget to check out ourPopular Trends Archives!

Source: Orange Chickn

This Orange Chickn by Llyod Rose has a crispy exterior with a divine sticky orange sauce coating. Its sweet and spicy and very addictive. The orange zest is truly the ingredient that makes this dish special with high notes of citrus. I remember when I created this recipe, I made it for three days straight for others to try because it was just too good. I promise if you made a top five list of all the recipes inside this book, this Orange Chickn would make the list!

Source: Spaghetti with Classic Marinara

Many of the recipes in this book utilize packaged products like pasta sauce, chicken broth or ramen that we combine with fresh ingredients to make something quick and delicious. This Spaghetti with Classic Marinara by Tiffani Thompson and Larone Thompson is more of a made-from-scratch dish that takes some time but is totally worth the effort. You can really taste the difference between this marinara and the ones that you pour out of a jar. This sauce bursts with bright tomato flavor and the fresh basil really gives it a boost. A pinch of red pepper flakes provides a subtle kick, but you can omit it if you prefer. Credit: Reprinted with permission from Noodle Worship by Tiffani & Larone Thompson. Page Street Publishing Co. 2022. Photo credit: Becky Winkler.

Source: Chocolate Banana Avocado Pudding

This Chocolate Banana Avocado Pudding by Fabio Gallo is a fast and easy recipe for a perfect healthy treat. The avocado is tasteless and makes it so creamy! With a few basic ingredients and a little time to spare, you can have a delicious vegan dessert. It is a basic recipe which is very versatile. Add fresh fruit, nut butters, or even more chocolate to make it your own.

Source: Savory Chickpea Pancakes

These Savory Chickpea Pancakes by Harriet Porterfield are made with chickpea flour, which is naturally gluten-free, full of protein, super delicious, and usually pretty cheap compared to other gluten-free flours. These are so tasty and could easily be made into a couple of big pancakes rather than mini ones, you could even fold them over and stuff them like an omelet.

Source: Fermented Carrot Cake Oats

Oats are a great way to start any day, but these fermented carrot cake oats are just amazing. To set off the fermentation process you can add a bit of a starter medium such as raw apple cider vinegar, kefir, yogurt, or whey to your oats and cover them with warm water over the counter. The speed of fermentation will vary depending on the temperature for example, they will ferment faster at warmer temperatures. As the oats start to ferment in this Fermented Carrot Cake Oats by Mitra Shirmohammadi, the water will get absorbed, leaving you with oats that are soft and rather mushy in texture. You can either cook them or enjoy them raw mixed with almond milk, natural sweetener of choice, nuts, seeds, or other desired toppings.

Source: Rustic Cassoulet With Veggie Sausage

This Rustic Cassoulet With Veggie Sausage by Plant Tribe usually calls for an abundance of different types of meat, of course this version is totally plant based. Its a warm and comforting meal, full of seasonal vegetables and delicious smoked sausage. Perfect for big gatherings!

Source: Sausage Stuffed Mushrooms

This Sausage Stuffed Mushrooms by Gretchen Price for vegan sausage stuffed mushrooms will have even your most carnivorous friends begging you to make them again and again! You can make them giant as a single serving appetizer or even the main course, or just grab a couple dozen smaller ones for bite-sized finger food for your next gathering.

Source: Italian Sausage on Baguette

This delicious Italian Sausage on Baguette by Lori Hirsch Stokoe is a perfectly comforting food!

Reducing your meat intake and eating more plant-based foods is known to help with chronic inflammation, heart health, mental wellbeing, fitness goals, nutritional needs, allergies, gut health, and more! Unfortunately, dairy consumption also has been linked to many health problems, including acne, hormonal imbalance, cancer, prostate cancer, and has many side effects.

For those interested in eating more plant-based, we highly recommend purchasing one of our many plant-based cookbooks or downloading the Food Monster App which has thousands of delicious recipes making it the largest vegan recipe resource to help reduce your environmental footprint, save animals and get healthy! And, while you are at it, we encourage you to also learn about the environmental and health benefits of a plant-based diet.

Here are some resources to get you started:

For more Animal, Earth, Life, Vegan Food, Health, and Recipe content published daily, subscribe to the One Green Planet Newsletter! Lastly, being publicly funded gives us a greater chance to continue providing you with high-quality content. Please consider supporting us by donating!

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From Orange Chick'n to Savory Chickpea Pancakes: Our Top Eight Vegan Recipes of the Day! - One Green Planet

Often, one ingredient in a dish will do a lot of heavy lifting, either boosting flavour or allowing other ingredients to shine. If were handing out awards, salt takes first place but, for me, dijon mustard isnt too far behind. It always adds sass, tanginess and oomph to anything it touches, and without being abrasively hot or spicy. In todays recipe, its not a dominant flavour, but it is the sun around which orzo, onions, lemon and cauliflower revolve.

Youll need a 25cm x 30cm (or thereabouts) baking dish for the orzo and a large oven tray (or two smaller ones) for roasting the cauliflower. Not all vegetable stock is suitable for vegans, so remember to check the ingredients list.

Prep 10 minCook 1 hrServes 4

6 tbsp olive oil2 red onions, peeled and thinly sliced Salt and black pepper1kg cauliflower, leaves removed (800g net)5 garlic cloves, skin on and left whole1 lemon, halved 400ml vegetable stock (made with 1 stock cube and 400ml water)250ml vegan single cream2 tbsp dijon mustard 300g orzoFine sea salt and black pepper1 handful fresh parsley, very finely chopped

Heat the oven to 240C (220C fan)/475F/gas 9 and line a large oven tray (or two medium ones), ideally with reusable baking sheets.

Put three tablespoons of the olive oil in a frying pan over a medium heat. When the oil is hot, add the onions and three-quarters of a teaspoon of salt, fry, stirring occasionally, for 20 minutes, until soft, reduced and caramelised, then take off the heat.

While the onion is cooking, break the cauliflower into 3cm pieces. Pop these on to the tray(s) with the whole garlic cloves and one of the lemon halves, drizzle with the remaining three tablespoons of oil and sprinkle over half a teaspoon of salt and a few grinds of the pepper mill. Mix gently with your hands to coat, then spread out into a single layer, so the pieces are not touching (theyll sweat, otherwise). Bake for 15 minutes, then remove and leave to cool. Turn down the oven to 210C (190C fan)/410F/gas 6.

Using a fork, whisk the cream and mustard into the stock.

Now assemble the bake. Put the orzo in a 25cm x 30cm baking dish, add the onions and toss to coat all the pasta grains in oil. Add the pieces of roast cauliflower. Squeeze the garlic flesh out of the skins (discard the latter), then chop and add to the dish. Squeeze over the juice of the baked half-lemon, then pour the stock over the top and mix really well. Bake for 10 minutes, then stir and return to the oven for 15 minutes, until the orzo is tender.

Scatter a handful of finely chopped parsley over the pasta and serve with the remaining half-lemon cut into wedges, for squeezing on top.

Read more from the original source:

Meera Sodhas vegan recipe for creamy baked orzo with cauliflower, onions and mustard - The Guardian

The number of people in the UK following a vegan diet has surged in recent years, as the UK market for meat substitutes is now the largest in Europe and worth more than 500m (450m), according to market and consumer data company Statista. While it was once tricky to find a specialised vegan restaurant, here in Manchester, those following a vegan diet can now pick from more than 50 dedicated meat-free eateries within five miles of the city centre.

The city paves the way for animal-friendly food, with restaurants offering everything from burgers and pizzas to kebabs. Sadly, the city said farewell to one of its pioneering vegan restaurants recently when Northern Quarter favourite V Rev closed its doors after 10 years serving up plant-based fast food.

But there are still a host of great places for hungry, meat-free Mancs. With this in mind, we have compiled a list of five of the best vegan restaurants in the city...

READ MORE: Traumatised family of six 'lose everything' after devastating bedroom fire destroys home

This stalwart of the Arndale Food Market was founded by vegan entrepreneur Chelsea Campbell, who pitched her plant-based ideals on BBCs food investment show Million Pound Menu in 2018. The business has been going from strength to strength since being established in 2017, and opened a second location at Warrington Market last year.

After stuffing meat-free Mancunians in the city centre for three years, it closed up shop in August and moved its Arndale outlet to a brand new unit on Mirabel St, a stones throw from the AO arena. It serves up a packed vegan junk food menu of comforting mac n cheese, plant-based chickn bites and rotating seasonal small plates.

It boasts award-winning burgers, a brand new breakfast menu, and even plans to launch a vegan Sunday roast something of a rarity in the meat-free market. Last month, Wholesome Junkies was named the Plant Based Offering of the Year at the Manchester Food and Drink Festival.

4 Mirabel Street, Manchester, M3 1PJ / wholesomejunkies.com / 07551659112

Warrington Market, 2 Times Square, WA1 2NT

Ending a night out by indulging in a dner kebab is perhaps one of the classic staples of British culture. But for vegans, that is not always so straight-forward. Thankfully, Manchester is home to an essential stop for any kebab-craving Mancunian who needs to stuff their face after a few drinks in the city.

Situated on Back Turner in the Northern Quarter, What The Pitta was born from a secret family recipe for vegan dner, and provides insane meat-free kebabs heavy with toppings, as well as dner chip boxes. It also applies handy food labelling to calculate the carbon footprint of their dishes to help customers make climate-friendly choices.

The company was awarded Best Vegan Caterer at 2018s Vegfest Awards and its London branch named Best London Takeaway at the 2020 Kebab Awards 2020. It has also been featured on the BBCs Newsnight, The One Show and Channel 4s Sunday Brunch.

42 Back Turner Street, Manchester, M4 1FR / whatthepitta.com / 01618352934

This vegan pizzeria in the heart of the city opened its doors on High Street in the summer of 2021, and prides itself on its sustainable Neapolitan dining. The business opened its first branch in Brighton back in 2015, and claims to be the first vegan pizzeria in the UK.

In addition to classics including margherita and pepperoni pizzas, Purezza offers an innovative and mouth-watering breakfast pizza, topped with cheese, vegan pancetta, tomatoes, scrambled tofu, potatoes and vegan sausage. Their food is sustainably sourced and uses 'groundbreaking' plant-based cheese, with its restaurant even fitted out with recycled and refurbished materials.

Purezza was named 2018s National Pizza of the Year, and the following year was awarded Best Vegan Restaurant in the UK at the annual World Pizza Championships in Parma, Italy. No mean feat. It also has a specialised 'Dog Menu' consisting of several food and drink options for vegan pizza lovers who want to enjoy a taste of Italy without leaving their furry friends at home.

75-77 High Street, Manchester, M4 1FS / purezza.co.uk

Nestled in Oxford Roads food, drink and retail market Hatch, this vegan comfort food outlet offers a menu full of dishes inspired by a coast-to-coast American road trip. Founded in 2016, Herbivorous unique dishes include a Philly Cheesesteak sandwich with homemade beef seitan, Fried Chickn burger boasting 11 secret herbs and spices, and a range of loaded fries and wings.

Its Big Kahuna Burger should also be a must for any film fans wanting to channel their inner Samuel L. Jackson. As well as its impressive food menu, Herbivorous serves an array of classic and not so classic cocktails, including the Bees Knees Watering Can sharer, a floral gin cocktail which actually comes served in a bright watering can.

For students in and around the Oxford Road area, it also offers a discount of up to 35 percent on some of its best-selling dishes every Thursday.

Hatch, Oxford Road, Manchester, M1 7ED / herbivorous.co.uk / 07723117286

For vegans with a sweet tooth, Ice Shack is a dairy-free dessert parlour serving up an array of sweet treats including ice cream, milkshakes, cakes and pastries. Located a little further afield in Withington, it went completely vegan in 2017, moving from 75 percent dairy to completely dairy-free within a year of opening.

Its menu boasts more than 20 different flavours of ice cream, consisting of all the classics alongside their popcorn flavour, rainbow sugar rush and chocolate peanut butter cookie. For those with sensitive teeth, it also offers a range of delicious cakes, cookies and waffles.

Ice Shacks signature milkshakes all made with a choice of four dairy-free milks are the perfect way to wash down those delectable desserts. In an effort to do its part for the environment, the parlour has been created with 100 percent of its furnishings being either reclaimed, recycled or donated, as well donating 10 percent of all its annual profits to charity.

160-164 Wellington Road, Withington, M20 3FU / iceshack.co.uk

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Five of the best vegan restaurants in Manchester - Manchester Evening News

Let's look at example that shows how quantum computers can succeed where classical computers fail:

A supercomputer might be great at difficult tasks like sorting through a big database of protein sequences. But it will struggle to see the subtle patterns in that data that determine how those proteins behave.

Proteins are long strings of amino acids that become useful biological machines when they fold into complex shapes. Figuring out how proteins will fold is a problem with important implications for biology and medicine.

A classical supercomputer might try to fold a protein with brute force, leveraging its many processors to check every possible way of bending the chemical chain before arriving at an answer. But as the protein sequences get longer and more complex, the supercomputer stalls. A chain of 100 amino acids could theoretically fold in any one of many trillions of ways. No computer has the working memory to handle all the possible combinations of individual folds.

Quantum algorithms take a new approach to these sorts of complex problems -- creating multidimensional spaces where the patterns linking individual data points emerge. In the case of a protein folding problem, that pattern might be the combination of folds requiring the least energy to produce. That combination of folds is the solution to the problem.

Classical computers can not create these computational spaces, so they can not find these patterns. In the case of proteins, there are already early quantum algorithms that can find folding patterns in entirely new, more efficient ways, without the laborious checking procedures of classical computers. As quantum hardware scales and these algorithms advance, they could tackle protein folding problems too complex for any supercomputer.

How complexity stumps supercomputers

Proteins are long strings of amino acids that become useful biological machines when they fold into complex shapes. Figuring out how proteins will fold is a problem with important implications for biology and medicine.

A classical supercomputer might try to fold a protein with brute force, leveraging its many processors to check every possible way of bending the chemical chain before arriving at an answer. But as the protein sequences get longer and more complex, the supercomputer stalls. A chain of 100 amino acids could theoretically fold in any one of many trillions of ways. No computer has the working memory to handle all the possible combinations of individual folds.

Quantum computers are built for complexityQuantum algorithms take a new approach to these sorts of complex problems -- creating multidimensional spaces where the patterns linking individual data points emerge. Classical computers can not create these computational spaces, so they can not find these patterns. In the case of proteins, there are already early quantum algorithms that can find folding patterns in entirely new, more efficient ways, without the laborious checking procedures of classical computers. As quantum hardware scales and these algorithms advance, they could tackle protein folding problems too complex for any supercomputer.

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What is Quantum Computing? | IBM

by YK Sugi

Hi everyone!

The other day, I visited D-Wave Systems in Vancouver, Canada. Its a company that makes cutting-edge quantum computers.

I got to learn a lot about quantum computers there, so Id like to share some of what I learned there with you in this article.

The goal of this article is to give you an accurate intuition of what a quantum computer is using a simple example.

This article will not require you to have prior knowledge of either quantum physics or computer science to be able to understand it.

Okay, lets get started.

Edit (Feb 26, 2019): I recently published a video about the same topic on my YouTube channel. I would recommend watching it (click here) before or after reading this article because I have added some additional, more nuanced arguments in the video.

Here is a one-sentence summary of what a quantum computer is:

There is a lot to unpack in this sentence, so let me walk you through what it is exactly using a simple example.

To explain what a quantum computer is, Ill need to first explain a little bit about regular (non-quantum) computers.

Now, a regular computer stores information in a series of 0s and 1s.

Different kinds of information, such as numbers, text, and images can be represented this way.

Each unit in this series of 0s and 1s is called a bit. So, a bit can be set to either 0 or 1.

A quantum computer does not use bits to store information. Instead, it uses something called qubits.

Each qubit can not only be set to 1 or 0, but it can also be set to 1 and 0. But what does that mean exactly?

Let me explain this with a simple example. This is going to be a somewhat artificial example. But its still going to be helpful in understanding how quantum computers work.

Now, suppose youre running a travel agency, and you need to move a group of people from one location to another.

To keep this simple, lets say that you need to move only 3 people for now Alice, Becky, and Chris.

And suppose that you have booked 2 taxis for this purpose, and you want to figure out who gets into which taxi.

Also, suppose here that youre given information about whos friends with who, and whos enemies with who.

Here, lets say that:

And suppose that your goal here is to divide this group of 3 people into the two taxis to achieve the following two objectives:

Okay, so this is the basic premise of this problem. Lets first think about how we would solve this problem using a regular computer.

To solve this problem with a regular, non-quantum computer, youll need first to figure out how to store the relevant information with bits.

Lets label the two taxis Taxi #1 and Taxi #0.

Then, you can represent who gets into which car with 3 bits.

For example, we can set the three bits to 0, 0, and 1 to represent:

Since there are two choices for each person, there are 2*2*2 = 8 ways to divide this group of people into two cars.

Heres a list of all possible configurations:

A | B | C0 | 0 | 00 | 0 | 10 | 1 | 00 | 1 | 11 | 0 | 01 | 0 | 11 | 1 | 01 | 1 | 1

Using 3 bits, you can represent any one of these combinations.

Now, using a regular computer, how would we determine which configuration is the best solution?

To do this, lets define how we can compute the score for each configuration. This score will represent the extent to which each solution achieves the two objectives I mentioned earlier:

Lets simply define our score as follows:

(the score of a given configuration) = (# friend pairs sharing the same car) - (# enemy pairs sharing the same car)

For example, suppose that Alice, Becky, and Chris all get into Taxi #1. With three bits, this can be expressed as 111.

In this case, there is only one friend pair sharing the same car Alice and Becky.

However, there are two enemy pairs sharing the same car Alice and Chris, and Becky and Chris.

So, the total score of this configuration is 1-2 = -1.

With all of this setup, we can finally go about solving this problem.

With a regular computer, to find the best configuration, youll need to essentially go through all configurations to see which one achieves the highest score.

So, you can think about constructing a table like this:

A | B | C | Score0 | 0 | 0 | -10 | 0 | 1 | 1 <- one of the best solutions0 | 1 | 0 | -10 | 1 | 1 | -11 | 0 | 0 | -11 | 0 | 1 | -11 | 1 | 0 | 1 <- the other best solution1 | 1 | 1 | -1

As you can see, there are two correct solutions here 001 and 110, both achieving the score of 1.

This problem is fairly simple. It quickly becomes too difficult to solve with a regular computer as we increase the number of people in this problem.

We saw that with 3 people, we need to go through 8 possible configurations.

What if there are 4 people? In that case, well need to go through 2*2*2*2 = 16 configurations.

With n people, well need to go through (2 to the power of n) configurations to find the best solution.

So, if there are 100 people, well need to go through:

This is simply impossible to solve with a regular computer.

How would we go about solving this problem with a quantum computer?

To think about that, lets go back to the case of dividing 3 people into two taxis.

As we saw earlier, there were 8 possible solutions to this problem:

A | B | C0 | 0 | 00 | 0 | 10 | 1 | 00 | 1 | 11 | 0 | 01 | 0 | 11 | 1 | 01 | 1 | 1

With a regular computer, using 3 bits, we were able to represent only one of these solutions at a time for example, 001.

However, with a quantum computer, using 3 qubits, we can represent all 8 of these solutions at the same time.

There are debates as to what it means exactly, but heres the way I think about it.

First, examine the first qubit out of these 3 qubits. When you set it to both 0 and 1, its sort of like creating two parallel worlds. (Yes, its strange, but just follow along here.)

In one of those parallel worlds, the qubit is set to 0. In the other one, its set to 1.

Now, what if you set the second qubit to 0 and 1, too? Then, its sort of like creating 4 parallel worlds.

In the first world, the two qubits are set to 00. In the second one, they are 01. In the third one, they are 10. In the fourth one, they are 11.

Similarly, if you set all three qubits to both 0 and 1, youd be creating 8 parallel worlds 000, 001, 010, 011, 100, 101, 110, and 111.

This is a strange way to think, but it is one of the correct ways to interpret how the qubits behave in the real world.

Now, when you apply some sort of computation on these three qubits, you are actually applying the same computation in all of those 8 parallel worlds at the same time.

So, instead of going through each of those potential solutions sequentially, we can compute the scores of all solutions at the same time.

With this particular example, in theory, your quantum computer would be able to find one of the best solutions in a few milliseconds. Again, thats 001 or 110 as we saw earlier:

A | B | C | Score0 | 0 | 0 | -10 | 0 | 1 | 1 <- one of the best solutions0 | 1 | 0 | -10 | 1 | 1 | -11 | 0 | 0 | -11 | 0 | 1 | -11 | 1 | 0 | 1 <- the other best solution1 | 1 | 1 | -1

In reality, to solve this problem, you would need to give your quantum computer two things:

Given these two things, your quantum computer will spit out one of the best solutions in a few milliseconds. In this case, thats 001 or 110 with a score of 1.

Now, in theory, a quantum computer is able to find one of the best solutions every time it runs.

However, in reality, there are errors when running a quantum computer. So, instead of finding the best solution, it might find the second-best solution, the third best solution, and so on.

These errors become more prominent as the problem becomes more and more complex.

So, in practice, you will probably want to run the same operation on a quantum computer dozens of times or hundreds of times. Then pick the best result out of the many results you get.

Even with the errors I mentioned, the quantum computer does not have the same scaling issue a regular computer suffers from.

When there are 3 people we need to divide into two cars, the number of operations we need to perform on a quantum computer is 1. This is because a quantum computer computes the score of all configurations at the same time.

When there are 4 people, the number of operations is still 1.

When there are 100 people, the number of operations is still 1. With a single operation, a quantum computer computes the scores of all 2 ~= 10 = one million million million million million configurations at the same time.

As I mentioned earlier, in practice, its probably best to run your quantum computer dozens of times or hundreds of times and pick the best result out of the many results you get.

However, its still much better than running the same problem on a regular computer and having to repeat the same type of computation one million million million million million times.

Special thanks to everyone at D-Wave Systems for patiently explaining all of this to me.

D-Wave recently launched a cloud environment for interacting with a quantum computer.

If youre a developer and would like actually to try using a quantum computer, its probably the easiest way to do so.

Its called Leap, and its at https://cloud.dwavesys.com/leap. You can use it for free to solve thousands of problems, and they also have easy-to-follow tutorials on getting started with quantum computers once you sign up.

Footnote:

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What is a quantum computer? Explained with a simple example.

- Delivers 127 qubits on a single IBM quantum processor for the first time with breakthrough packaging technology

- New processor furthers IBM's industry-leading roadmaps for advancing the performance of its quantum systems

- Previews design for IBM Quantum System Two, a next generation quantum system to house future quantum processors

Nov 16, 2021

ARMONK, N.Y., Nov. 16, 2021 /PRNewswire/ --IBM (NYSE: IBM) today announced its new 127-quantum bit (qubit) 'Eagle' processor at the IBM Quantum Summit 2021, its annual event to showcase milestones in quantum hardware, software, and the growth of the quantum ecosystem. The 'Eagle' processor is a breakthrough in tapping into the massive computing potential of devices based on quantum physics. It heralds the point in hardware development where quantum circuits cannot be reliably simulated exactly on a classical computer. IBM also previewed plans for IBM Quantum System Two, the next generation of quantum systems.

Quantum computing taps into the fundamental quantum nature of matter at subatomic levels to offer the possibility of vastly increased computing power. The fundamental computational unit of quantum computing is the quantum circuit, an arrangement of qubits into quantum gates and measurements. The more qubits a quantum processor possesses, the more complex and valuable the quantum circuits that it can run.

IBM recently debuted detailed roadmaps for quantum computing, including a path for scaling quantum hardwareto enable complex quantum circuits to reach Quantum Advantage, the point at which quantum systems can meaningfully outperform their classical counterpoints. Eagle is the latest step along this scaling path.

IBM measures progress in quantum computing hardware through three performance attributes: Scale, Quality and Speed. Scale is measured in the number of qubits on a quantum processor and determines how large of a quantum circuit can be run. Quality is measured by Quantum Volume and describes how accurately quantum circuits run on a real quantum device. Speed is measured by CLOPS(Circuit Layer Operations Per Second), a metric IBM introduced in November 2021, and captures the feasibility of running real calculations composed of a large number of quantum circuits.

127-qubit Eagle processor

'Eagle' is IBM's first quantum processor developed and deployed to contain more than 100 operational and connected qubits. It follows IBM's 65-qubit 'Hummingbird' processor unveiled in 2020 and the 27-qubit 'Falcon' processor unveiled in 2019. To achieve this breakthrough, IBM researchers built on innovations pioneered within its existing quantum processors, such as a qubit arrangement design to reduce errors and an architecture to reduce the number of necessary components. The new techniques leveraged within Eagle place control wiring on multiple physical levels within the processor while keeping the qubits on a single layer, which enables a significant increase in qubits.

The increased qubit count will allow users to explore problems at a new level of complexity when undertaking experiments and running applications, such as optimizing machine learning or modeling new molecules and materials for use in areas spanning from the energy industry to the drug discovery process. 'Eagle' is the first IBM quantum processor whose scale makes it impossible for a classical computer to reliably simulate. In fact, the number of classical bits necessary to represent a state on the 127-qubit processor exceeds the total number of atoms in the more than 7.5 billion people alive today.

"The arrival of the 'Eagle' processor is a major step towards the day when quantum computers can outperform classical computers for useful applications," said Dr. Daro Gil, Senior Vice President, IBM and Director of Research. "Quantum computing has the power to transform nearly every sector and help us tackle the biggest problems of our time. This is why IBM continues to rapidly innovate quantum hardware and software design, building ways for quantum and classical workloads to empower each other, and create a global ecosystem that is imperative to the growth of a quantum industry."

The first 'Eagle' processor is available as an exploratory device on the IBM Cloud to select members of the IBM Quantum Network.

For a more technical description of the 'Eagle' processor, read this blog.

IBM Quantum System Two

In 2019, IBM unveiled IBM Quantum System One, the world's first integrated quantum computing system. Since then, IBM has deployed these systems as the foundation of its cloud-based IBM Quantum services in the United States, as well as in Germany for Fraunhofer-Gesellschaft, Germany's leading scientific research institution, in Japan for the University of Tokyo, and a forthcoming system in the U.S. at Cleveland Clinic. In addition, we announced today a new partnership with Yonsei University in Seoul, South Korea, to deploy the first IBM quantum system in the country. For more details, click here.

As IBM continues scaling its processors, they are expected to mature beyond the infrastructure of IBM Quantum System One. Therefore, we're excited to unveil a concept for the future of quantum computing systems: IBM Quantum System Two. IBM Quantum System Two is designed to work with IBM's future 433-qubit and 1,121 qubit processors.

"IBM Quantum System Two offers a glimpse into the future quantum computing datacenter, where modularity and flexibility of system infrastructure will be key towards continued scaling," said Dr. Jay Gambetta, IBM Fellow and VP of Quantum Computing. "System Two draws on IBM's long heritage in both quantum and classical computing, bringing in new innovations at every level of the technology stack."

Central to IBM Quantum System Two is the concept of modularity. As IBM progresses along its hardware roadmap and builds processors with larger qubit counts, it is vital that the control hardware has the flexibility and resources necessary to scale. These resources include control electronics, which allow users to manipulate the qubits, and cryogenic cooling, which keeps the qubits at a temperature low enough for their quantum properties to manifest.

IBM Quantum System Two's design will incorporate a new generation of scalable qubit control electronics together with higher-density cryogenic components and cabling. Furthermore, IBM Quantum System Two introduces a new cryogenic platform, designed in conjunction with Bluefors, featuring a novel, innovative structural design to maximize space for the support hardware required by larger processors while ensuring that engineers can easily access and service the hardware.

In addition, the new design brings the possibility to provide a larger shared cryogenic work-space ultimately leading to the potential linking of multiple quantum processors. The prototype IBM Quantum System Two is expected to be up and running in 2023.

Statements regarding IBM's future direction and intent are subject to change or withdrawal without notice and represent goals and objectives only.

About IBMFor more information, visit: https://research.ibm.com/quantum-computing.

ContactHugh CollinsIBM Research CommunicationsHughdcollins@ibm.com

Kortney EasterlyIBM Research CommunicationsKortney.Easterly@ibm.com

SOURCE IBM

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IBM Unveils Breakthrough 127-Qubit Quantum Processor

Another record has been broken on the way to fully operational and capable quantum computers: the complete control of a 6-qubit quantum processor in silicon.

Researchers are calling it "a major stepping stone" for the technology.

Qubits (or quantum bits) are the quantum equivalents of classical computing bits, only they can potentially process much more information. Thanks to quantum physics, they can be in two states at once, rather than just a single 1 or 0.

The difficulty is in getting a lot of qubits to behave as we need them to, which is why this jump to six is important. Being able to operate them in silicon the same material used in today's electronic devices makes the technology potentially more viable.

"The quantum computing challenge today consists of two parts," says quantum computing researcher Stephan Philips from the Delft University of Technology in the Netherlands. "Developing qubits that are of good enough quality, and developing an architecture that allows one to build large systems of qubits."

"Our work fits into both categories. And since the overall goal of building a quantum computer is an enormous effort, I think it is fair to say we have made a contribution in the right direction."

The qubits are made from individual electrons fixed in a row, 90 nanometers apart (a human hair is around 75,000 nanometers in diameter). This line of 'quantum dots' is placed in silicon, using a structure similar to the transistors used in standard processors.

By making careful improvements to the way the electrons were prepared, managed, and monitored, the team was able to successfully control their spin the quantum mechanical property that enables the qubit state.

The researchers were also able to create logic gates and entangle systems of two or three electrons, on demand, with low error rates.

Researchers used microwave radiation, magnetic fields, and electric potentials to control and read electron spin, operating them as qubits, and getting them to interact with each other as required.

"In this research, we push the envelope of the number of qubits in silicon, and achieve high initialization fidelities, high readout fidelities, high single-qubit gate fidelities, and high two-qubit state fidelities," says electrical engineer Lieven Vandersypen, also from the Delft University of Technology.

"What really stands out though is that we demonstrate all these characteristics together in one single experiment on a record number of qubits."

Up until this point, only 3-qubit processors have been successfully built in silicon and controlled up to the necessary level of quality so we're talking about a major step forward in terms of what's possible in this type of qubit.

There are different ways of building qubits including on superconductors, where many more qubits have been operated together and scientists are still figuring out the method that might be the best way forward.

The advantage of silicon is that the manufacturing and supply chains are all already in place, meaning the transition from a scientific laboratory to an actual machine should be more straightforward. Work continues to keep pushing the qubit record even higher.

"With careful engineering, it is possible to increase the silicon spin qubit count while keeping the same precision as for single qubits," says electrical engineer Mateusz Madzik from the Delft University of Technology.

"The key building block developed in this research could be used to add even more qubits in the next iterations of study."

The research has been published in Nature.

View original post here:

There's a New Quantum Computing Record: Control of a 6-Qubit Processor in Silicon - ScienceAlert

Nearly all schools have computer-based classes, but many dont offer even foundational classes on programming, let alone advanced computing.

A 2022 study by the Code.org Advocacy Coalition found that 53.4% of Ohio high school students attend a school that offers foundational computer science classes such as basic programming. However, only 22% of urban school districts offered foundational computer science courses compared to 57% of suburban schools.

In 2019, Ohio was ranked 37th among all 50 states in the number of college computer science graduates, as a percentage of total college graduates at all levels (Kentucky was ranked 1st), and 44th in growth in number of computer science graduates over five years, according to data from the U.S. Census Bureau.

Ohio updates curriculum

Ohio recently invested heavily in changing this. Last month, the Ohio State Board of Education approved an updated Model Curriculum for Computer Science. The 400 pages of guidance for local districts recommends students as early as kindergarten learning to protect passwords and understand the basics of artificial intelligence, and high schoolers using cybersecurity concepts like cluster computing and quantum key distribution.

The change represents a dramatic update from previous educational standards, initiated by the state last year. Ohio currently has over 20,000 open computer science positions, said Bryan Stewart, workforce director at the Montgomery County Educational Service Center. As Ohio prepares to welcome tech manufacturing giants like Intel, that gap may get worse.

Thats a question that we play with when we look at the future of Ohios workforce, Stewart said. We have to ask ourselves, Will Dayton, will the Miami Valley be a haven for startups? Will we see tech companies born out of the minds of our kids? If we want that to be a reality, if we want venture capital to speed into Ohio, you cant do that unless you teach kids about computer science.

Stebbins High School in the Mad River School District takes a different approach. Many classes through the schools Career Technology Program incorporate computer science in a tangential way, such as engineering and robotics, or graphic design and digital media. Students learn to work with several systems, such as SolidWorks, AutoCAD, and Adobe Photoshop, said Career Tech Director and Assistant Principal Jeff Berk.

We also have career tech courses at our middle school, Berk said, adding that the state of Ohio supports career tech education. We are able to stay up to industry standards within all of our programs, and making sure our students are prepared, and what theyre going to see (in the workplace), they had the chance to see it here.

In recent years, Mad River discontinued a cybersecurity career path based on lack of enrollment and student interest, Berk said, in favor of a Teacher Academy. However, juniors and seniors can also participate in the Tech Prep program, where students do hands-on IT work throughout the building, troubleshooting everything from printers to student laptops.

Obstacles to improvement

Improving computer science education faces several hurdles. One issue governments have grappled with is that the field evolves so quickly that its difficult for educators to keep up, even at the local level.

I think we do the best we can. But computer science changes so quickly. Its not like math where algebra is the same now as it was 100 years ago, Schultz said. Now weve got standard things like quantum computing and artificial intelligence and machine learning, things that werent even spoken of five years ago. So its tough for schools, tough for anybody with a limited budget, to try and stay on top of that.

The State Committee on Computer Science, formed by this years state budget, outlined 10 recommendations in August that, if implemented, would help make Ohio a national leader in computer science education and workforce pipeline, state officials said. Among these include a commitment by the state to fund computer science courses at 1% of the K-12 funding formula, about $94 million today, in future years, as well as making a single credit computer science course a high school graduation requirement.

Funding is important because hardware that educators have access to sometimes lags behind what is used in the industry, Berk said.

A lot of times in education, the access to technology that students have sometimes is outdated, he said. Thats one of the major challenges. Especially in high school, when they go out into to the workforce, that theyre having that opportunity to work with machines and computers that are going to be at the same level

Finding teachers is also huge problem, as often individuals who are qualified to teach the next generation about computer science have no financial incentive to do so.

The majority of them realize that they can go out and find a job in the industry and make double what they would make as a teacher, said Schultz.

Minorities, girls lag

To address teacher shortages, the state committee recommended Teach CS grants that fund training for teachers to obtain computer science licensure, and establishing an Office of Computer Science to support the over 600 Ohio school districts in implementing their own computer science programs.

Stebbins Teacher Academy was created both to address the teacher shortage in the general K-12 sphere and supply a program that matched students interests, Berk said.

Were doing what we can do to help supply the region with the workers that we need for all the different professions, he said.

The states Model Curriculum also includes provisions for equitable access to computer science education. Schools in lower-income neighborhoods and schools with large numbers of minority students often offer only rudimentary user skills rather than problem-solving and computational thinking, according to the curriculum.

Among students who took the Advanced Placement Computer Science exam in 2020, only 6% of students were Black or African American, 16% were Hispanic or Latino and 0.5% were Native American, according to data from the College Board, which administers AP tests.

Female students are also underrepresented in high school computer science classes, accounting for just 34% of AP Computer Science Principles participants and 25% of AP Computer Science A participants, per College Board data. During the 2020-21 school year, female students accounted for only 27% of over 3,700 AP Computer Science exams taken in Ohio.

In order to reach female and minority students, the state board recommends using examples that are equally relevant to both males and females, and tying problems to students everyday lives.

Particularly for young learners and beginners, visual, block-based programming languages help address language and syntax barriers, according to state documents.

Getting more girls and minority students into coding is useful, not just for creating a diverse workforce, but for addressing the huge need for computer-savvy people in todays industry. After-school programs like Girls Who Code also are working to bridge this gap, but the model curriculum aims to tackle these problems inside the classroom.

Private sector companies, the industry side of things, they really want to see a more diverse workforce. But theyre never going to have them unless we start earlier and try to start breaking down some of these barriers or perceptions, Stewart said.

Original post:

Schools get creative with computer science teaching as Ohios state standards try to keep with the times - Dayton Daily News

The idea of using the laws of quantum mechanics for computation was proposed in 1982 by Richard Feynman. But Deutschwho is at the University of Oxford, UKis often credited with establishing the conceptual foundations of the discipline. Computer bits that obey quantum principles, such as superposition and entanglement, can carry out some calculations much faster and more efficiently than ones that obey classical rules. In 1985 Deutsch postulated that a device made from such quantum bits (qubits) could be made universal, meaning it could simulate any quantum system. Deutsch framed his proposal in the context of the many worlds interpretation of quantum mechanics (of which he is an advocate), likening the process of one quantum computation to that of many parallel computations occurring simultaneously in entangled worlds.

To motivate further work in quantum computing, researchers at the time needed problems that a quantum computer could uniquely solve. I remember conversations in the early 1990s in which people would argue about whether quantum computers would ever be able to do anything really useful, says quantum physicist William Wootters of Williams College, Massachusetts, who has worked with Bennett and Brassard on quantum cryptography problems. Then suddenly Peter Shor devised a quantum algorithm that could indeed do something eminently useful.

In 1995 Shor, who is now at the Massachusetts Institute of Technology, developed an algorithm that could factorize large integersdecompose them into products of primesmuch more efficiently than any known classical algorithm. In classical computation, the time that it takes to factorize a large number increases exponentially as the number gets larger, which is why factorizing large numbers provides the basis for todays methods for online data encryption. Shors algorithm showed that for a quantum computer, the time needed increases less rapidly, making factorizing large numbers potentially more feasible. This theoretical demonstration immediately injected energy into the field, Wootters says. Shor has also made important contributions to the theory of quantum error correction, which is more challenging in quantum than in classical computation (see Focus: LandmarksCorrecting Quantum Computer Errors).

Without Deutsch and Shor we would not have the field of quantum computation as we know it today, says quantum theorist Artur Ekert of the University of Oxford, who considers Deutsch his mentor. David defined the field, and Peter took it to an entirely different level by discovering the real power of quantum computation and by showing that it actually can be done.

Data encryption is the topic cited for the award of Bennett (IBMs Thomas J. Watson Research Center in Yorktown Heights, New York) and Brassard (University of Montreal, Canada). In 1984 the pair described a protocol in which information could be encoded in qubits and sent between two parties in such a way that the information could not be read by an eavesdropper without that intervention being detected. Like quantum computing, this quantum cryptographic scheme relies on entangling qubits, meaning that their properties are interdependent, no matter how far apart they are separated. This BB84 protocol and similar quantum encryption schemes have now been used for secure transmission of data along optical networks and even via satellite over thousands of kilometers (see Focus: Intercontinental, Quantum-Encrypted Messaging and Video).

In 1993 Bennett and Brassard also showed how entanglement may be harnessed for quantum teleportation, whereby the state of one qubit is broadcast to another distant one while the original state is destroyed (see Focus: LandmarksTeleportation is not Science Fiction). This process too has applications in quantum information processing.

I am really gratified by this award because it recognizes the field of quantum information and computation, Shor says. Deutsch echoes the sentiment: Im glad that [quantum information] is now officially regarded as fundamental physics rather than as philosophy, mathematics, computer science, or engineering.

Deutsch, Shor, Bennett, and Brassard deserve recognition for their work, and Im delighted that theyre getting it, Wootters says. He notes that their research not only inspired the development of quantum technologies, but also influenced new research in quantum foundations. Quantum information theory views quantum theory through a novel lens and opens up a new perspective from which to address foundational questions.

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Physics - Breakthrough Prize for the Physics of Quantum Informationand of Cells - Physics

Quantum Computing Market Insights 2022 By Types (Simulation, Optimization, Sampling), Applications (Defense, Banking & Finance, Energy & Power, Chemicals, Healthcare & Pharmaceuticals, Others), By Segmentation, Regions and Forecast to 2027. This report provides exclusive information on vital statistics, trends, and competitive landscape.

Global Quantum Computing Market Research Report 2022-2027 provides a comprehensive analysis of future growth trends with current and historic demand status, and SWOT analysis. The report aims to provide insightful data on market size, share, key players financial details with CAGR status, industry revenue, and import-export scenario. Quantum Computing market (112 Pages) report gives intellect analysis on overall market growth, key drivers, challenges, trends, and opportunities. Furthermore, the report focuses on regional developments, industry segments, competitive landscape analysis that includes a company overview, financial statements, gross margin, price trends, and manufacturing cost structure over the forecast period.

The global Quantum Computing market size was valued at USD 494.02 million in 2021 and is expected to expand at a CAGR of 25.06% during the forecast period, reaching USD 1890.42 million by 2027.

Quantum computing is computing using quantum-mechanical phenomena, such as superposition and entanglement. A quantum computer is a device that performs quantum computing. Such a computer is different from binary digital electronic computers based on transistors. Whereas common digital computing requires that the data be encoded into binary digits (bits), each of which is always in one of two definite states (0 or 1), quantum computation uses quantum bits or qubits, which can be in superpositions of states. A quantum Turing machine is a theoretical model of such a computer, and is also known as the universal quantum computer.

Get a sample PDF of the report at https://www.industryresearch.biz/enquiry/request-sample/21532749

Competitive Analysis:

The report analyses the competitive landscape in terms of market size, trends, types, applications, and geographies to help the vendor outline their capabilities and opportunities for future growth prospects. Also, it describes the optimal analysis of vendors to adopt successive merger and acquisition strategies, innovations and technology, research and development, geography expansion, and new product launch strategies to execute further business growth plans.

The report evaluates and categorizes global vendors in the Quantum Computing Market based on Business Strategy (Business Growth, Industry Coverage, Financial Viability, and Channel Support) and Product Satisfaction (Value for Money, Ease of Use, Product Features, and Customer Support) that helps businesses in better decision making and understanding the competitive landscape.

Which are the prominent Quantum Computing Market players across the globe?

Top Key Players covered in the report are:

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Short Summary About Quantum Computing Market:

The report combines extensive quantitative analysis and exhaustive qualitative analysis, ranging from a macro overview of the total market size, industry chain, and market dynamics to micro details of segment markets by type, application, and region, and, as a result, provides a holistic view of, as well as a deep insight into the Cobalt Tetroxide market covering all its essential aspects.

For the competitive landscape, the report also introduces players in the industry from the perspective of the market share, concentration ratio, etc., and describes the leading companies in detail, with which the readers can get a better idea of their competitors and acquire an in-depth understanding of the competitive situation. Further, mergers and acquisitions, emerging market trends, the impact of COVID-19, and regional conflicts will all be considered.

In a nutshell, this report is a must-read for industry players, investors, researchers, consultants, business strategists, and all those who have any kind of stake or are planning to foray into the market in any manner.

Market Segmentation:

Quantum Computing Market Segmentation by Type and by Applications to fully and deeply research and reveal market profile and prospects.

On the basis of product type, this report displays the production, revenue, price, market share, and growth rate of each type, primarily split into:

On the basis of the end users/applications, this report focuses on the status and outlook for major applications/end users, consumption (sales), market share and growth rate for each application, including:

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The Research Report focuses on the competitive landscape of the industry including company profiles, business overview, sales area, market performance, and manufacturing cost structure. The report analyzes the global primary production, consumption, and fastest-growing countries with prominent players in the global industry.

Which region is expected to hold the highest market share in the Quantum Computing Market?

Geographically, the report includes several key regions, with sales, revenue, research on production, consumption, market share, and growth rate, and forecast (2017 -2027) of the following regions:

Highlighted Key Points Covered in this Updated Research Reports Include:

Client Focus

Does this report consider the impact of COVID-19 and the Russia-Ukraine war on the Quantum Computing market?Yes. As the COVID-19 and the Russia-Ukraine war are profoundly affecting the global supply chain relationship and raw material price system, we have definitely taken them into consideration throughout the research, and in Chapters 1.7, 2.7, 4.X.1, 7.5, 8.7, we elaborate at full length on the impact of the pandemic and the war on the Quantum Computing Industry.

How do you determine the list of the key players included in the report?With the aim of clearly revealing the competitive situation of the industry, we concretely analyze not only the leading enterprises that have a voice on a global scale but also the regional small and medium-sized companies that play key roles and have plenty of potential growth.Please find the key player list in the Summary.

What are your main data sources?Both Primary and Secondary data sources are being used while compiling the report.Primary sources include extensive interviews of key opinion leaders and industry experts (such as experienced front-line staff, directors, CEOs, and marketing executives), downstream distributors, as well as end-users.Secondary sources include the research of the annual and financial reports of the top companies, public files, new journals, etc. We also cooperate with some third-party databases.Please find a more complete list of data sources in Chapters 11.2.1 and 11.2.2.

TO KNOW HOW COVID-19 PANDEMIC AND RUSSIA UKRAINE WAR WILL IMPACT THIS MARKET REQUEST SAMPLE

Some of the key questions answered in this report:

Following Chapter Covered in the Quantum Computing Market Research:

Chapter 1 mainly defines the market scope and introduces the macro overview of the industry, with an executive summary of different market segments ((by type, application, region, etc.), including the definition, market size, and trend of each market segment.

Chapter 2 provides a qualitative analysis of the current status and future trends of the market. Industry Entry Barriers, market drivers, market challenges, emerging markets, consumer preference analysis, together with the impact of the COVID-19 outbreak will all be thoroughly explained.

Chapter 3 analyzes the current competitive situation of the market by providing data regarding the players, including their sales volume and revenue with corresponding market shares, price, and gross margin. In addition, information about market concentration ratio, mergers, acquisitions, and expansion plans will also be covered.

Chapter 4 focuses on the regional market, presenting detailed data (i.e., sales volume, revenue, price, gross margin) of the most representative regions and countries in the world.

Chapter 5 provides the analysis of various market segments according to product types, covering sales volume, revenue market share, and growth rate, plus the price analysis of each type.

Chapter 6 shows the breakdown data of different applications, including the consumption and revenue with market share and growth rate, with the aim of helping the readers to take a close-up look at the downstream market.

Chapter 7 provides a combination of quantitative and qualitative analyses of the market size and development trends in the next five years. The forecast information of the whole, as well as the breakdown market, offers the readers a chance to look into the future of the industry.

Chapter 8 is the analysis of the whole market industrial chain, covering key raw materials suppliers and price analysis, manufacturing cost structure analysis, alternative product analysis, also providing information on major distributors, downstream buyers, and the impact of the COVID-19 pandemic.

Chapter 9 shares a list of the key players in the market, together with their basic information, product profiles, market performance (i.e., sales volume, price, revenue, gross margin), recent development, SWOT analysis, etc.

Chapter 10 is the conclusion of the report which helps the readers, sum up, the main findings and points.

Chapter 11 introduces the market research methods and data sources.

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Years considered for this report:

Detailed TOC of Quantum Computing Market Forecast Report 2022-2027:

1 Quantum Computing Market Overview1.1 Product Overview and Scope of Quantum Computing Market1.2 Quantum Computing Market Segment by Type1.2.1 Global Quantum Computing Market Sales Volume and CAGR (%) Comparison by Type (2017-2027)1.3 Global Quantum Computing Market Segment by Application1.3.1 Quantum Computing Market Consumption (Sales Volume) Comparison by Application (2017-2027)1.4 Global Quantum Computing Market, Region Wise (2017-2027)1.4.1 Global Quantum Computing Market Size (Revenue) and CAGR (%) Comparison by Region (2017-2027)1.4.2 United States Quantum Computing Market Status and Prospect (2017-2027)1.4.3 Europe Quantum Computing Market Status and Prospect (2017-2027)1.4.4 China Quantum Computing Market Status and Prospect (2017-2027)1.4.5 Japan Quantum Computing Market Status and Prospect (2017-2027)1.4.6 India Quantum Computing Market Status and Prospect (2017-2027)1.4.7 Southeast Asia Quantum Computing Market Status and Prospect (2017-2027)1.4.8 Latin America Quantum Computing Market Status and Prospect (2017-2027)1.4.9 Middle East and Africa Quantum Computing Market Status and Prospect (2017-2027)1.5 Global Market Size of Quantum Computing (2017-2027)1.5.1 Global Quantum Computing Market Revenue Status and Outlook (2017-2027)1.5.2 Global Quantum Computing Market Sales Volume Status and Outlook (2017-2027)1.6 Global Macroeconomic Analysis1.7 The impact of the Russia-Ukraine war on the Quantum Computing Market

2 Industry Outlook2.1 Quantum Computing Industry Technology Status and Trends2.2 Industry Entry Barriers2.2.1 Analysis of Financial Barriers2.2.2 Analysis of Technical Barriers2.2.3 Analysis of Talent Barriers2.2.4 Analysis of Brand Barrier2.3 Quantum Computing Market Drivers Analysis2.4 Quantum Computing Market Challenges Analysis2.5 Emerging Market Trends2.6 Consumer Preference Analysis2.7 Quantum Computing Industry Development Trends under COVID-19 Outbreak2.7.1 Global COVID-19 Status Overview2.7.2 Influence of COVID-19 Outbreak on Quantum Computing Industry Development

3 Global Quantum Computing Market Landscape by Player3.1 Global Quantum Computing Sales Volume and Share by Player (2017-2022)3.2 Global Quantum Computing Revenue and Market Share by Player (2017-2022)3.3 Global Quantum Computing Average Price by Player (2017-2022)3.4 Global Quantum Computing Gross Margin by Player (2017-2022)3.5 Quantum Computing Market Competitive Situation and Trends

4 Global Quantum Computing Sales Volume and Revenue Region Wise (2017-2022)4.1 Global Quantum Computing Sales Volume and Market Share, Region Wise (2017-2022)4.2 Global Quantum Computing Revenue and Market Share, Region Wise (2017-2022)4.3 Global Quantum Computing Sales Volume, Revenue, Price and Gross Margin (2017-2022)4.4 United States Quantum Computing Sales Volume, Revenue, Price and Gross Margin (2017-2022)4.5 Europe Quantum Computing Sales Volume, Revenue, Price and Gross Margin (2017-2022)4.6 China Quantum Computing Sales Volume, Revenue, Price and Gross Margin (2017-2022)4.7 Japan Quantum Computing Sales Volume, Revenue, Price and Gross Margin (2017-2022)4.8 India Quantum Computing Sales Volume, Revenue, Price and Gross Margin (2017-2022)4.9 Southeast Asia Quantum Computing Sales Volume, Revenue, Price and Gross Margin (2017-2022)4.10 Latin America Quantum Computing Sales Volume, Revenue, Price and Gross Margin (2017-2022)4.11 Middle East and Africa Quantum Computing Sales Volume, Revenue, Price and Gross Margin (2017-2022)

5 Global Quantum Computing Sales Volume, Revenue, Price Trend by Type5.1 Global Quantum Computing Sales Volume and Market Share by Type (2017-2022)5.2 Global Quantum Computing Revenue and Market Share by Type (2017-2022)5.3 Global Quantum Computing Price by Type (2017-2022)5.4 Global Quantum Computing Sales Volume, Revenue and Growth Rate by Type (2017-2022)

6 Global Quantum Computing Market Analysis by Application6.1 Global Quantum Computing Consumption and Market Share by Application (2017-2022)6.2 Global Quantum Computing Consumption Revenue and Market Share by Application (2017-2022)6.3 Global Quantum Computing Consumption and Growth Rate by Application (2017-2022)

7 Global Quantum Computing Market Forecast (2022-2027)7.1 Global Quantum Computing Sales Volume, Revenue Forecast (2022-2027)7.1.1 Global Quantum Computing Sales Volume and Growth Rate Forecast (2022-2027)7.1.2 Global Quantum Computing Revenue and Growth Rate Forecast (2022-2027)7.1.3 Global Quantum Computing Price and Trend Forecast (2022-2027)7.2 Global Quantum Computing Sales Volume and Revenue Forecast, Region Wise (2022-2027)7.3 Global Quantum Computing Sales Volume, Revenue and Price Forecast by Type (2022-2027)7.4 Global Quantum Computing Consumption Forecast by Application (2022-2027)

8 Quantum Computing Market Upstream and Downstream Analysis8.1 Quantum Computing Industrial Chain Analysis8.2 Key Raw Materials Suppliers and Price Analysis8.3 Manufacturing Cost Structure Analysis8.3.1 Labor Cost Analysis8.3.2 Energy Costs Analysis8.3.3 RandD Costs Analysis8.4 Alternative Product Analysis8.5 Major Distributors of Quantum Computing Analysis8.6 Major Downstream Buyers of Quantum Computing Analysis8.7 Impact of COVID-19 and the Russia-Ukraine war on the Upstream and Downstream in the Quantum Computing Industry

Continued

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