Page 4«..3456..»

Archive for the ‘Quantum Computer’ Category

IEEE International Conference on Quantum Computing and Engineering (QCE20) Transitions to All-Virtual Event – PRNewswire

Posted: August 14, 2020 at 11:51 pm


without comments

The exciting QCE20 conference programfeatures over 270 hours of programming. Each day the QCE20 conference, also known as IEEE Quantum Week, will virtually deliver 9-10 parallel tracks ofworld-class keynotes, workforce-building tutorials, community-building workshops, technical paper presentations, innovative posters, and thought-provoking panels through a digital combination of pre-recorded and live-streamed sessions. Attendees will be able to participate in live Q&A sessions with keynote speakers and panelists, paper and poster authors, as well as tutorial and workshop speakers. Birds of a Feather, Networking, and Beautiful Coloradosessions spice up the program between technical sessions. The recorded QCE20 sessions will be available for on-demand until November 30.

"With our expansive technical program and lineup of incredible presentations from thought-leaders all over the globe, this is shaping up to be the quantum event of the year," said Hausi Mller, QCE20 General Chair, IEEE Quantum Initiative Co-Chair. "I encourage all professionals and enthusiasts to become a quantum computing champion by engaging and participating in the inaugural IEEE International Conference on Quantum Computing & Engineering (QCE20)."

Workshops and tutorials will be conducted according to their pre-determined schedule in a live, virtual format. The QCE20 tutorials program features 16 tutorials by leading experts aimed squarely at workforce development and training considerations, and 21 QCE20 workshopsprovide forums for group discussions on topics in quantum research, practice, education, and applications.

Ten outstanding keynote speakers will address quantum computing and engineering topics at the beginning and at the end of each conference day, providing insights to stimulate discussion for the networking sessions and exhibits.

QCE20 panel sessionswill explore various perspectives of quantum topics, including quantum education and training, quantum hardware and software, quantum engineering challenges, fault-tolerant quantum computers, quantum error correction, quantum intermediate language representation, hardware-software co-design, and hybrid quantum-classical computing platforms. Visit Enabling and Growing the Quantum Industryto view the newest addition to the lineup.

Over 20 QCE20 exhibitors and sponsors including Platinum sponsors IBM, Microsoft, and Honeywell, and Gold sponsors Quantropi and Zapatawill be featured Monday through Friday in virtual exhibit rooms offering numerous opportunities for networking.

QCE20 is co-sponsored by the IEEE Computer Society, IEEE Communications Society, IEEE Photonics Society, IEEE Council on Superconductivity,IEEE Electronics Packaging Society, IEEE Future Directions Quantum Initiative, and IEEETechnology and Engineering Management Society.

Register to be a part of the highly anticipated virtual IEEE Quantum Week 2020.

Visit qce.quantum.ieee.org for all program details, as well as sponsorship and exhibitor opportunities.

About the IEEE Computer SocietyThe IEEE Computer Society is the world's home for computer science, engineering, and technology. A global leader in providing access to computer science research, analysis, and information, the IEEE Computer Society offers a comprehensive array of unmatched products, services, and opportunities for individuals at all stages of their professional career. Known as the premier organization that empowers the people who drive technology, the IEEE Computer Society offers international conferences, peer-reviewed publications, a unique digital library, and training programs. Visit http://www.computer.orgfor more information.

About the IEEE Communications Society The IEEE Communications Societypromotes technological innovation and fosters creation and sharing of information among the global technical community. The Society provides services to members for their technical and professional advancement and forums for technical exchanges among professionals in academia, industry, and public institutions.

About the IEEE Photonics SocietyTheIEEE Photonics Societyforms the hub of a vibrant technical community of more than 100,000 professionals dedicated to transforming breakthroughs in quantum physics into the devices, systems, and products to revolutionize our daily lives. From ubiquitous and inexpensive global communications via fiber optics, to lasers for medical and other applications, to flat-screen displays, to photovoltaic devices for solar energy, to LEDs for energy-efficient illumination, there are myriad examples of the Society's impact on the world around us.

About the IEEE Council on SuperconductivityThe IEEE Council on Superconductivityand its activities and programs cover the science and technology of superconductors and their applications, including materials and their applications for electronics, magnetics, and power systems, where the superconductor properties are central to the application.

About the IEEE Electronics Packaging SocietyThe IEEE Electronics Packaging Societyis the leading international forum for scientists and engineers engaged in the research, design, and development of revolutionary advances in microsystems packaging and manufacturing.

About the IEEE Future Directions Quantum InitiativeIEEE Quantumis an IEEE Future Directions initiative launched in 2019 that serves as IEEE's leading community for all projects and activities on quantum technologies. IEEE Quantum is supported by leadership and representation across IEEE Societies and OUs. The initiative addresses the current landscape of quantum technologies, identifies challenges and opportunities, leverages and collaborates with existing initiatives, and engages the quantum community at large.

About the IEEE Technology and Engineering Management SocietyIEEE TEMSencompasses the management sciences and practices required for defining, implementing, and managing engineering and technology.

SOURCE IEEE Computer Society

http://www.computer.org

Excerpt from:

IEEE International Conference on Quantum Computing and Engineering (QCE20) Transitions to All-Virtual Event - PRNewswire

Written by admin

August 14th, 2020 at 11:51 pm

Posted in Quantum Computer

The race to building a fully functional quantum stack – TechCrunch

Posted: at 11:51 pm


without comments

More posts by this contributor

Quantum computers exploit the seemingly bizarre yet proven nature of the universe that until a particle interacts with another, its position, speed, color, spin and other quantum properties coexist simultaneously as a probability distribution over all possibilities in a state known as superposition. Quantum computers use isolated particles as their most basic building blocks, relying on any one of these quantum properties to represent the state of a quantum bit (or qubit). So while classical computer bits always exist in a mutually exclusive state of either 0 (low energy) or 1 (high energy), qubits in superposition coexist simultaneously in both states as 0 and 1.

Things get interesting at a larger scale, as QC systems are capable of isolating a group of entangled particles, which all share a single state of superposition. While a single qubit coexists in two states, a set of eight entangled qubits (or 8Q), for example, simultaneously occupies all 2^8 (or 256) possible states, effectively processing all these states in parallel. It would take 57Q (representing 2^57 parallel states) for a QC to outperform even the worlds strongest classical supercomputer. A 64Q computer would surpass it by 100x (clearly achieving quantum advantage) and a 128Q computer would surpass it a quintillion times.

In the race to develop these computers, nature has inserted two major speed bumps. First, isolated quantum particles are highly unstable, and so quantum circuits must execute within extremely short periods of coherence. Second, measuring the output energy level of subatomic qubits requires extreme levels of accuracy that tiny deviations commonly thwart. Informed by university research, leading QC companies like IBM, Google, Honeywell and Rigetti develop quantum engineering and error-correction methods to overcome these challenges as they scale the number of qubits they can process.

Following the challenge to create working hardware, software must be developed to harvest the benefits of parallelism even though we cannot see what is happening inside a quantum circuit without losing superposition. When we measure the output value of a quantum circuits entangled qubits, the superposition collapses into just one of the many possible outcomes. Sometimes, though, the output yields clues that qubits weirdly interfered with themselves (that is, with their probabilistic counterparts) inside the circuit.

QC scientists at UC Berkeley, University of Toronto, University of Waterloo, UT Sydney and elsewhere are now developing a fundamentally new class of algorithms that detect the absence or presence of interference patterns in QC output to cleverly glean information about what happened inside.

A fully functional QC must, therefore, incorporate several layers of a novel technology stack, incorporating both hardware and software components. At the top of the stack sits the application software for solving problems in chemistry, logistics, etc. The application typically makes API calls to a software layer beneath it (loosely referred to as a compiler) that translates function calls into circuits to implement them. Beneath the compiler sits a classical computer that feeds circuit changes and inputs to the Quantum Processing Unit (QPU) beneath it. The QPU typically has an error-correction layer, an analog processing unit to transmit analog inputs to the quantum circuit and measure its analog outputs, and the quantum processor itself, which houses the isolated, entangled particles.

Read the original:

The race to building a fully functional quantum stack - TechCrunch

Written by admin

August 14th, 2020 at 11:51 pm

Posted in Quantum Computer

6 new degrees approved, including graduate degrees in biostatistics and quantum information science: News at IU – IU Newsroom

Posted: at 11:51 pm


without comments

The Indiana University Board of Trustees has approved six new degrees, four of which are graduate level.

All of the new graduate degrees are on the Bloomington campus:

Also approved were a Bachelor of Arts in theater, film and television at IUPUI and a Bachelor of Science in accounting at IU East.

The master's and doctoral degrees in biostatistics are offered by the Department of Epidemiology and Biostatistics in the School of Public Health-Bloomington. They will focus on rural public health issues and specialized areas in public health research, such as the opioid epidemic.

Biostatistics is considered a high-demand job field. Both degrees are intended to meet the labor market and educational and research needs of the state, which is trying to reduce negative health outcomes. Biostatisticians typically are hired by state and local health departments, federal government agencies, medical centers, medical device companies and pharmaceutical companies, among others.

The Master of Science in quantum information science will involve an intensive, one-year, multidisciplinary program with tracks that tie into physics, chemistry, mathematics, computer science, engineering and business. It's offered through the Office of Multidisciplinary Graduate Programs in the University Graduate School. The degree was proposed by the College of Arts and Sciences, the Luddy School of Informatics, Computing and Engineering, and the Kelley School of Business.

Most of the faculty who will teach the classes are members of the newly established IU Quantum Science and Engineering Center.

Students who earn the Master of Science in quantum information science can pursue careers with computer and software companies that are active with quantum computation, and national labs involved in quantum information science, among other opportunities.

The Master of International Affairs is a joint degree by the O'Neill School of Public and Environmental Affairs and the Hamilton-Lugar School of Global and International Studies. The degree is the first of its kind offered by any IU campus and meets student demand for professional master's programs having an international focus.

Featured components of the degree include the study of international relations and public administration. Graduates can expect to find employment in the federal government, such as the Department of State, the Department of Treasury or the U.S. intelligence community, or with private-sector firms in fields such as high-tech, global trade and finance.

The Bachelor of Arts in theater, film and television combines existing programs and provides them a more visible home in the School of Liberal Arts at IUPUI. The degree features three distinct concentrations:

Applied theater is a growing field that emphasizes and works with organizations around issues of social justice, social change, diversity and inclusion.

IU East's Bachelor of Science in accounting degree, offered through the School of Business and Economics, helps meet projected high demand in the accounting industry. It also will prepare students to take the certified public accountant or certified managerial accountant exams, or enter graduate programs in accounting or business.

Original post:

6 new degrees approved, including graduate degrees in biostatistics and quantum information science: News at IU - IU Newsroom

Written by admin

August 14th, 2020 at 11:51 pm

Posted in Quantum Computer

Toshiba Exits PC Business 35 Years of IBM Compatible PCs – Electropages

Posted: at 11:51 pm


without comments

Recently, Toshiba announced that it would sell the remained of its computer and laptop operations to Sharp after 35 years of working in the sector. Who is Toshiba, what products did Toshiba produce, and what will Toshiba look towards for its future endeavours?

Toshiba is a Japanese multinational conglomerate with its headquarters located in Minato, Tokyo. Toshiba provides a wide range of services and products in many industries, including semiconductors, discrete electronics, hard drives, printers, and quantum cryptography. Founded in 1890, the company has over 140,000 employees worldwide with yearly revenue of 3.693 trillion, and an operating income of 35.4 billion. Toshiba is arguably most known for its consumer-end products, including televisions, laptops, and flash memory.

One of the biggest challenges faced by early computer makers was creating a portable machine that would allow individuals to work while on the move. The reasons for the difficulty came from a multitude of problems, including heavy batteries, bulky floppy drives, and CRT screens that can easily weigh into the tens of kilograms. The first portable computer, called the Osborne, was developed in 1981, but its reliance on a mains plug made the computer more of a luggable as opposed to a portable platform (a battery pack was available, but only as an optional add-on). While the Osborne was the worlds first portable computer, the first IBM compatible PC laptop was produced by Toshiba in 1985, and offered MS-DOS 2.11, integrated an Intel 80C88 4.7MHz processor, 256KB RAM, internal 3.5 floppy drive, and a 640 x 200 display. Measuring only 4.1KG, the Toshiba T1100 is considered the first mass-produced laptop computer and provided a standard that other manufacturers would quickly follow.

While Toshiba has a long history producing PC compatible computers and laptops, the recent fall in sales has led to Toshiba selling the remainder of its stake in Dynabook to Sharp. To better understand just how much sales have fallen, Toshiba was selling over 17 million computers in 2011 and had dropped to just 1.9 million in 2017. This fall in sales resulted in Toshiba pulling out from the European market in 2016, but even this move did not help entirely. The exact reason for this reduction in sales cannot be attributed to any one cause, but the mass influx of mobile devices such as tabs and smartphones, as well as the introduction of cloud-based applications, means that tasks that would typically be done on a computer can now be done of much smaller, more convenient devices.

Consumer demand for laptops has soared in the last few months because of the Coronavirus pandemic and global lockdowns, but overall, the market for personal computers has been tough for quite a while. Only those who have managed to sustain scale and price (like Lenovo), or have a premium brand (like Apple) have succeeded in the unforgiving PC market, where volumes have been falling for years.

While the PC market is incredibly vast, it is only a small sector that Toshiba has specialised in. This year (2020), Toshiba announced its plans to launch quantum cryptography services, develop affordable solid-state LiDAR, and produce hydrogen fuel cells. Toshiba also continues to develop its other industrial sectors, including electronic storage (FLASH, HDDs, etc.), building systems (elevators), energy systems, infrastructure, and retail. Such a move by Toshiba makes sense when considering that quantum computers are starting to find real-world application, governments around the world are trying to move towards green technologies, and the rapid increase in internet usage is putting a strain on data centres.

Read More

More here:

Toshiba Exits PC Business 35 Years of IBM Compatible PCs - Electropages

Written by admin

August 14th, 2020 at 11:51 pm

Posted in Quantum Computer

IBM Z mainframes revived by Red Hat, AI and security – TechTarget

Posted: at 11:51 pm


without comments

By

Published: 13 Aug 2020

Mainframe systems could play a significant role in cybersecurity and artificial intelligence advancements in years to come and IBM is investing in those areas to ensure system Z mainframes have a stake in those growing tech markets.

IBM mainframe sales grew some 69% during the second quarter of this year, achieving the highest year-over-year percentage increase of any other business unit. Some industry observers attribute the unexpected performance to the fact the z15, introduced a year ago, is still in its anticipated upcycle. Typically, mainframe sales level off and dip after 12 to 18 months until the release of a new system. But that might not be the case this time around.

Ross Mauri, general manager of IBM's Z and LinuxOne mainframe business, discussed some of the factors that could contribute to sustained growth of the venerable system, including IBM's acquisition of Red Hat, the rise of open source software and timely technical enhancements.

Mainframe revenues in the second quarter were the fastest-growing of any IBM business unit, something analysts didn't expect to see again. Is this just the typical upcycle for the latest system or something else at work?

Ross Mauri: A lot of it has to do with the Red Hat acquisition and the move toward hybrid clouds. Consequently, mainframes are picking up new workloads, which is why you are seeing a lot more MIPS being generated. We set a record for MIPS in last year's fourth quarter.

How much of it has to do with the increase in Linux-based mainframes and the growing popularity of open source software?

Mauri: Yes, there is that plus all the more strategic applications [OpenShift, Ansible] going to the cloud. What also helped was our Capacity On Demand program going live in the second quarter, providing users with four times the [processor] capacity they had a year ago.

Some industries are in slumps, but online sales are up and that means credit card and banking systems are more active than normal. They liked the idea of being able to turn on 'dark' processors remotely.

Some analysts think mainframes are facing the same barrier Intel-based machines are with Moore's Law. Are you running out of real estate on mainframe chips to improve performance?

Mauri: What we have done is made improvements in the instruction set. So, with things like Watson machine learning, users can work to a pretty high level of AI, taking greater advantage of the hardware. We've not run out of real estate on the chips, or out of performance, and I don't think we will. If you think that, we will prove you wrong.

But with the last couple of mainframe releases performance improvements were in the single digits, compared to 30% to 40% performance improvements of Power systems.

Mauri: In terms of Z [series mainframes], they are running as fast as Power. We know where [mainframes] are going to be running in the future. As we move to deep learning inference engines in the future, you'll see more AI running on the system to help with fraud analytics and real-time transactions. We haven't played out our whole hand yet. The AI market is still nascent; we are very much at the beginning of it. For instance, we're not anywhere near what we can do with the security of the system.

As we move to deep learning inference engines in the future, you'll see more AI running on [mainframes] to help with fraud analytics and real-time transactions. We haven't played out our whole hand yet. Ross MauriGeneral manager, IBM's Z and LinuxOne mainframes

We have started to put quantum encryption algorithms in the system already, to make sure security was sound given what's going on in the world of cybersecurity. You'll see us continue to invest more in the future when it comes to AI. We'll build on that machine learning base we have already.

Is IBM Research investigating other technologies that would sit between existing mainframes and quantum computers in terms of improving performance?

Mauri: Our [mainframe] systems group is working closely with the quantum team as well as with IBM Research. We are still in the research phase; no one's using them for production.

What we're exploring with IBM Research and clients is trying to determine what algorithms run well on a quantum computer for solving business problems and business processes that now run on mainframes. For instance, we're looking at big financial institutions where we can make use of quantum computers as closely coupled accelerators for the mainframe. We think it can greatly reduce costs and improve business processing speed. It's actually not that complex to do. We're doing active experiments with clients now.

What are you looking at to increase performance?

Mauri: We are looking at a whole range of options right now. We have something we do with clients called Enterprise Design Thinking where they are involved throughout an entire process to make sure we're not putting some technology in that's not going to work for them. We have been doing that since the z14 [mainframe].

Read more:

IBM Z mainframes revived by Red Hat, AI and security - TechTarget

Written by admin

August 14th, 2020 at 11:51 pm

Posted in Quantum Computer

Quantum computing will (eventually) help us discover vaccines in days – VentureBeat

Posted: May 17, 2020 at 10:41 pm


without comments

The coronavirus is proving that we have to move faster in identifying and mitigating epidemics before they become pandemics because, in todays global world, viruses spread much faster, further, and more frequently than ever before.

If COVID-19 has taught us anything, its that while our ability to identify and treat pandemics has improved greatly since the outbreak of the Spanish Flu in 1918, there is still a lot of room for improvement. Over the past few decades, weve taken huge strides to improve quick detection capabilities. It took a mere 12 days to map the outer spike protein of the COVID-19 virus using new techniques. In the 1980s, a similar structural analysis for HIV took four years.

But developing a cure or vaccine still takes a long time and involves such high costs that big pharma doesnt always have incentive to try.

Drug discovery entrepreneur Prof. Noor Shaker posited that Whenever a disease is identified, a new journey into the chemical space starts seeking a medicine that could become useful in contending diseases. The journey takes approximately 15 years and costs $2.6 billion, and starts with a process to filter millions of molecules to identify the promising hundreds with high potential to become medicines. Around 99% of selected leads fail later in the process due to inaccurate prediction of behavior and the limited pool from which they were sampled.

Prof. Shaker highlights one of the main problems with our current drug discovery process: The development of pharmaceuticals is highly empirical. Molecules are made and then tested, without being able to accurately predict performance beforehand. The testing process itself is long, tedious, cumbersome, and may not predict future complications that will surface only when the molecule is deployed at scale, further eroding the cost/benefit ratio of the field. And while AI/ML tools are already being developed and implemented to optimize certain processes, theres a limit to their efficiency at key tasks in the process.

Ideally, a great way to cut down the time and cost would be to transfer the discovery and testing from the expensive and time-inefficient laboratory process (in-vitro) we utilize today, to computer simulations (in-silico). Databases of molecules are already available to us today. If we had infinite computing power we could simply scan these databases and calculate whether each molecule could serve as a cure or vaccine to the COVID-19 virus. We would simply input our factors into the simulation and screen the chemical space for a solution to our problem.

In principle, this is possible. After all, chemical structures can be measured, and the laws of physics governing chemistry are well known. However, as the great British physicist Paul Dirac observed: The underlying physical laws necessary for the mathematical theory of a large part of physics and the whole of chemistry are thus completely known, and the difficulty is only that the exact application of these laws leads to equations much too complicated to be soluble.

In other words, we simply dont have the computing power to solve the equations, and if we stick to classical computers we never will.

This is a bit of a simplification, but the fundamental problem of chemistry is to figure out where electrons sit inside a molecule and calculate the total energy of such a configuration. With this data, one could calculate the properties of a molecule and predict its behavior. Accurate calculations of these properties will allow the screening of molecular databases for compounds that exhibit particular functions, such as a drug molecule that is able to attach to the coronavirus spike and attack it. Essentially, if we could use a computer to accurately calculate the properties of a molecule and predict its behavior in a given situation, it would speed up the process of identifying a cure and improve its efficiency.

Why are quantum computers much better than classical computers at simulating molecules?

Electrons spread out over the molecule in a strongly correlated fashion, and the characteristics of each electron depend greatly on those of its neighbors. These quantum correlations (or entanglement) are at the heart of the quantum theory and make simulating electrons with a classical computer very tricky.

The electrons of the COVID-19 virus, for example, must be treated in general as being part of a single entity having many degrees of freedom, and the description of this ensemble cannot be divided into the sum of its individual, distinguishable electrons. The electrons, due to their strong correlations, have lost their individuality and must be treated as a whole. So to solve the equations, you need to take into account all of the electrons simultaneously. Although classical computers can in principle simulate such molecules, every multi-electron configuration must be stored in memory separately.

Lets say you have a molecule with only 10 electrons (forget the rest of the atom for now), and each electron can be in two different positions within the molecule. Essentially, you have 2^10=1024 different configurations to keep track of rather just 10 electrons which would have been the case if the electrons were individual, distinguishable entities. Youd need 1024 classical bits to store the state of this molecule. Quantum computers, on the other hand, have quantum bits (qubits), which can be made to strongly correlate with one another in the same way electrons within molecules do. So in principle, you would need only about 10 such qubits to represent the strongly correlated electrons in this model system.

The exponentially large parameter space of electron configurations in molecules is exactly the space qubits naturally occupy. Thus, qubits are much more adapted to the simulation of quantum phenomena. This scaling difference between classical and quantum computation gets very big very quickly. For instance, simulating penicillin, a molecule with 41 atoms (and many more electrons) will require 10^86 classical bits, or more bits than the number of atoms in the universe. With a quantum computer, you would only need about 286 qubits. This is still far more qubits than we have today, but certainly a more reasonable and achievable number. The COVID-19 virus outer spike protein, for comparison, contains many thousands of atoms and is thus completely intractable for classical computation. The size of proteins makes them intractable to classical simulation with any degree of accuracy even on todays most powerful supercomputers. Chemists and pharma companies do simulate molecules with supercomputers (albeit not as large as the proteins), but they must resort to making very rough molecule models that dont capture the details a full simulation would, leading to large errors in estimation.

It might take several decades until a sufficiently large quantum computer capable of simulating molecules as large as proteins will emerge. But when such a computer is available, it will mean a complete revolution in the way the pharma and the chemical industries operate.

The holy grail end-to-end in-silico drug discovery involves evaluating and breaking down the entire chemical structures of the virus and the cure.

The continued development of quantum computers, if successful, will allow for end-to-end in-silico drug discovery and the discovery of procedures to fabricate the drug. Several decades from now, with the right technology in place, we could move the entire process into a computer simulation, allowing us to reach results with amazing speed. Computer simulations could eliminate 99.9% of false leads in a fraction of the time it now takes with in-vitro methods. With the appearance of a new epidemic, scientists could identify and develop a potential vaccine/drug in a matter of days.

The bottleneck for drug development would then move from drug discovery to the human testing phases including toxicity and other safety tests. Eventually, even these last stage tests could potentially be expedited with the help of a large scale quantum computer, but that would require an even greater level of quantum computing than described here. Tests at this level would require a quantum computer with enough power to contain a simulation of the human body (or part thereof) that will screen candidate compounds and simulate their impact on the human body.

Achieving all of these dreams will demand a continuous investment into the development of quantum computing as a technology. As Prof. Shohini Ghose said in her 2018 Ted Talk: You cannot build a light bulb by building better and better candles. A light bulb is a different technology based on a deeper scientific understanding. Todays computers are marvels of modern technology and will continue to improve as we move forward. However, we will not be able to solve this task with a more powerful classical computer. It requires new technology, more suited for the task.

(Special thanks Dr. Ilan Richter, MD MPH for assuring the accuracy of the medical details in this article.)

Ramon Szmuk is a Quantum Hardware Engineer at Quantum Machines.

Link:

Quantum computing will (eventually) help us discover vaccines in days - VentureBeat

Written by admin

May 17th, 2020 at 10:41 pm

Posted in Quantum Computer

Quantum computing analytics: Put this on your IT roadmap – TechRepublic

Posted: at 10:41 pm


without comments

Quantum is the next step toward the future of analytics and computing. Is your organization ready for it?

Quantum computing can solve challenges that modern computers can't--or it might take them a billion years to do so. It can crack any encryption and make your data completely safe. Google reports that it has seen a quantum computer that performed at least 100 million times faster than any classical computer in its lab.

Quantum blows away the processing of data and algorithms on conventional computers because of its ability to operate on electrical circuits that can be in more than one state at once. A quantum computer operates on Qubits (quantum bits) instead of on the standard bits that are used in conventional computing.

SEE: Managing AI and ML in the enterprise 2020: Tech leaders increase project development and implementation (TechRepublic Premium)

Quantum results can quickly make an impact on life science and pharmaceutical companies, for financial institutions evaluating portfolio risks, and for other organizations that want to expedite time-to-results for processing that on conventional computing platforms would take days to complete.

Few corporate CEOs are comfortable trying to explain to their boards what quantum computing is and why it is important to invest in it.

"There are three major areas where we see immediate corporate engagement with quantum computing," said Christopher Savoie, CEO and co-founder of Zapata Quantum Computing Software Company, a quantum computing solutions provider backed by Honeywell. "These areas are machine learning, optimization problems, and molecular simulation."

Savoie said quantum computing can bring better results in machine learning than conventional computing because of its speed. This rapid processing of data enables a machine learning application to consume large amounts of multi-dimensional data that can generate more sophisticated models of a particular problem or phenomenon under study.

SEE: Forget quantum supremacy: This quantum-computing milestone could be just as important (TechRepublic)

Quantum computing is also well suited for solving problems in optimization. "The mathematics of optimization in supply and distribution chains is highly complex," Savoie said. "You can optimize five nodes of a supply chain with conventional computing, but what about 15 nodes with over 85 million different routes? Add to this the optimization of work processes and people, and you have a very complex problem that can be overwhelming for a conventional computing approach."

A third application area is molecular simulation in chemistry and pharmaceuticals, which can be quite complex.

In each of these cases, models of circumstances, events, and problems can be rapidly developed and evaluated from a variety of dimensions that collate data from many diverse sources into a model.

SEE:Inside UPS: The logistics company's never-ending digital transformation (free PDF)(TechRepublic)

"The current COVID-19 crisis is a prime example," Savoie said. "Bill Gates knew in 2015 that handling such a pandemic would present enormous challengesbut until recently, we didn't have the models to understand the complexities of those challenges."

For those engaging in quantum computing and analytics today, the relative newness of the technology presents its own share of glitches. This makes it important to have quantum computing experts on board. For this reason, most early adopter companies elect to go to the cloud for their quantum computing, partnering with a vendor that has the specialized expertise needed to run and maintain quantum analytics.

SEE: Rural America is in the midst of a mental health crisis. Tech could help some patients see a way forward. (cover story PDF) (TechRepublic)

"These companies typically use a Kubernetes cluster and management stack on premises," Savoie said. "They code a quantum circuit that contains information on how operations are to be performed on quantum qubits. From there, the circuit and the prepared data are sent to the cloud, which performs the quantum operations on the data. The data is processed in the cloud and sent back to the on-prem stack, and the process repeats itself until processing is complete."

Savoie estimated that broad adoption of quantum computing for analytics will occur within a three- to five-year timeframe, with early innovators in sectors like oil and gas, and chemistry, that already understand the value of the technology and are adopting sooner.

"Whether or not you adopt quantum analytics now, you should minimally have it on your IT roadmap," Savoie said. "Quantum computing is a bit like the COVID-19 crisis. At first, there were only two deaths; then two weeks later, there were ten thousand. Quantum computing and analytics is a highly disruptive technology that can exponentially advance some companies over others."

Learn the latest news and best practices about data science, big data analytics, and artificial intelligence. Delivered Mondays

Image: sakkmesterke, Getty Images/iStockphoto

See the original post here:

Quantum computing analytics: Put this on your IT roadmap - TechRepublic

Written by admin

May 17th, 2020 at 10:41 pm

Posted in Quantum Computer

Video: The Future of Quantum Computing with IBM – insideHPC

Posted: at 10:41 pm


without comments

Dario Gil from IBM Research

In this video, Dario Gil from IBM shares results from the IBM Quantum Challenge and describes how you can access and program quantum computers on the IBM Cloud today.

From May 4-8, we invited people from around the world to participate in the IBM Quantum Challengeon the IBM Cloud. We devised the Challenge as a global event to celebrateour fourth anniversary of having a real quantum computer on the cloud. Over those four days 1,745people from45countries came together to solve four problems ranging from introductory topics in quantum computing, to understanding how to mitigate noise in a real system, to learning about historic work inquantum cryptography, to seeing how close they could come to the best optimization result for a quantum circuit.

Those working in the Challenge joined all those who regularly make use of the 18quantum computing systems that IBM has on the cloud, includingthe 10 open systemsand the advanced machines available within theIBM Q Network. During the 96 hours of the Challenge, the total use of the 18 IBM Quantum systems on the IBM Cloud exceeded 1 billion circuits a day. Together, we made history every day the cloud users of the IBM Quantum systems made and then extended what can absolutely be called a world record in computing.

Every day we extend the science of quantum computing and advance engineering to build more powerful devices and systems. Weve put new two new systems on the cloud in the last month, and so our fleet of quantum systems on the cloud is getting bigger and better. Well be extending this cloud infrastructure later this year by installing quantum systems inGermanyand inJapan. Weve also gone more and more digital with our users with videos, online education, social media, Slack community discussions, and, of course, the Challenge.

Dr. Dario Gil is the Director of IBM Research, one of the worlds largest and most influential corporate research labs. IBM Research is a global organization with over 3,000 researchers at 12 laboratories on six continents advancing the future of computing. Dr. Gil leads innovation efforts at IBM, directing research strategies in Quantum, AI, Hybrid Cloud, Security, Industry Solutions, and Semiconductors and Systems. Dr. Gil is the 12th Director in its 74-year history. Prior to his current appointment, Dr. Gil served as Chief Operating Officer of IBM Research and the Vice President of AI and Quantum Computing, areas in which he continues to have broad responsibilities across IBM. Under his leadership, IBM was the first company in the world to build programmable quantum computers and make them universally available through the cloud. An advocate of collaborative research models, he co-chairs the MIT-IBM Watson AI Lab, a pioneering industrial-academic laboratory with a portfolio of more than 50 projects focused on advancing fundamental AI research to the broad benefit of industry and society.

Sign up for our insideHPC Newsletter

Read the rest here:

Video: The Future of Quantum Computing with IBM - insideHPC

Written by admin

May 17th, 2020 at 10:41 pm

Posted in Quantum Computer

Registration Open for Inaugural IEEE International Conference on Quantum Computing and Engineering – HPCwire

Posted: at 10:41 pm


without comments

LOS ALAMITOS, Calif.,May 14, 2020 Registration is now open for the inauguralIEEE International Conference on Quantum Computing and Engineering (QCE20), a multidisciplinary event focusing on quantum technology, research, development, and training. QCE20, also known as IEEE Quantum Week, will deliver a series ofworld-class keynotes,workforce-building tutorials,community-building workshops, andtechnical paper presentations and postersonOctober 12-16inDenver, Colorado.

Were thrilled to open registration for the inaugural IEEE Quantum Week, founded by the IEEE Future Directions Initiative and supported by multiple IEEE Societies and organizational units, said Hausi Mller, QCE20 general chair and co-chair of the IEEE Quantum Initiative.Our initial goal is to address the current landscape of quantum technologies, identify challenges and opportunities, and engage the quantum community. With our current Quantum Week program, were well on track to deliver a first-rate quantum computing and engineering event.

QCE20skeynote speakersinclude the following quantum groundbreakers and leaders:

The week-longQCE20 tutorials programfeatures 15 tutorials by leading experts aimed squarely at workforce development and training considerations. The tutorials are ideally suited to develop quantum champions for industry, academia, and government and to build expertise for emerging quantum ecosystems.

Throughout the week, 19QCE20 workshopsprovide forums for group discussions on topics in quantum research, practice, education, and applications. The exciting workshops provide unique opportunities to share and discuss quantum computing and engineering ideas, research agendas, roadmaps, and applications.

The deadline for submittingtechnical papersto the eight technical paper tracks isMay 22. Papers accepted by QCE20 will be submitted to the IEEE Xplore Digital Library. The best papers will be invited to the journalsIEEE Transactions on Quantum Engineering(TQE)andACM Transactions on Quantum Computing(TQC).

QCE20 provides attendees a unique opportunity to discuss challenges and opportunities with quantum researchers, scientists, engineers, entrepreneurs, developers, students, practitioners, educators, programmers, and newcomers. QCE20 is co-sponsored by the IEEE Computer Society, IEEE Communications Society, IEEE Council on Superconductivity,IEEE Electronics Packaging Society (EPS), IEEE Future Directions Quantum Initiative, IEEE Photonics Society, and IEEETechnology and Engineering Management Society (TEMS).

Registerto be a part of the highly anticipated inaugural IEEE Quantum Week 2020. Visitqce.quantum.ieee.orgfor event news and all program details, including sponsorship and exhibitor opportunities.

About the IEEE Computer Society

The IEEE Computer Society is the worlds home for computer science, engineering, and technology. A global leader in providing access to computer science research, analysis, and information, the IEEE Computer Society offers a comprehensive array of unmatched products, services, and opportunities for individuals at all stages of their professional career. Known as the premier organization that empowers the people who drive technology, the IEEE Computer Society offers international conferences, peer-reviewed publications, a unique digital library, and training programs. Visitwww.computer.orgfor more information.

About the IEEE Communications Society

TheIEEE Communications Societypromotes technological innovation and fosters creation and sharing of information among the global technical community. The Society provides services to members for their technical and professional advancement and forums for technical exchanges among professionals in academia, industry, and public institutions.

About the IEEE Council on Superconductivity

TheIEEE Council on Superconductivityand its activities and programs cover the science and technology of superconductors and their applications, including materials and their applications for electronics, magnetics, and power systems, where the superconductor properties are central to the application.

About the IEEE Electronics Packaging Society

TheIEEE Electronics Packaging Societyis the leading international forum for scientists and engineers engaged in the research, design, and development of revolutionary advances in microsystems packaging and manufacturing.

About the IEEE Future Directions Quantum Initiative

IEEE Quantumis an IEEE Future Directions initiative launched in 2019 that serves as IEEEs leading community for all projects and activities on quantum technologies. IEEE Quantum is supported by leadership and representation across IEEE Societies and OUs. The initiative addresses the current landscape of quantum technologies, identifies challenges and opportunities, leverages and collaborates with existing initiatives, and engages the quantum community at large.

About the IEEE Photonics Society

TheIEEE Photonics Societyforms the hub of a vibrant technical community of more than 100,000 professionals dedicated to transforming breakthroughs in quantum physics into the devices, systems, and products to revolutionize our daily lives. From ubiquitous and inexpensive global communications via fiber optics, to lasers for medical and other applications, to flat-screen displays, to photovoltaic devices for solar energy, to LEDs for energy-efficient illumination, there are myriad examples of the Societys impact on the world around us.

About the IEEE Technology and Engineering Management Society

IEEE TEMSencompasses the management sciences and practices required for defining, implementing, and managing engineering and technology.

Source: IEEE Computer Society

Original post:

Registration Open for Inaugural IEEE International Conference on Quantum Computing and Engineering - HPCwire

Written by admin

May 17th, 2020 at 10:41 pm

Posted in Quantum Computer

Light, fantastic: the path ahead for faster, smaller computer processors – News – The University of Sydney

Posted: at 10:41 pm


without comments

Research team: (from left) Associate Professor Stefano Palomba, Dr Alessandro Tuniz, Professor Martijn de Sterke. Photo: Louise Cooper

Light is emerging as the leading vehicle for information processing in computers and telecommunications as our need for energy efficiency and bandwidth increases.

Already the gold standard for intercontinental communication through fibre-optics, photons are replacing electrons as the main carriers of information throughout optical networks and into the very heart of computers themselves.

However, there remain substantial engineering barriers to complete this transformation. Industry-standard silicon circuits that support light are more than an order of magnitude larger than modern electronic transistors. One solution is to compress light using metallic waveguides however this would not only require a new manufacturing infrastructure, but also the way light interacts with metals on chips means that photonic information is easily lost.

Now scientists in Australia and Germany have developed a modular method to design nanoscale devices to help overcome these problems, combining the best of traditional chip design with photonic architecture in a hybrid structure. Their research is published today in Nature Communications.

We have built a bridge between industry-standard silicon photonic systems and the metal-based waveguides that can be made 100 times smaller while retaining efficiency, said lead author Dr Alessandro Tuniz from the University of Sydney Nano Institute and School of Physics.

This hybrid approach allows the manipulation of light at the nanoscale, measured in billionths of a metre. The scientists have shown that they can achieve data manipulation at 100 times smaller than the wavelength of light carrying the information.

This sort of efficiency and miniaturisation will be essential in transforming computer processing to be based on light. It will also be very useful in the development of quantum-optical information systems, a promising platform for future quantum computers, said Associate Professor Stefano Palomba, a co-author from the University of Sydney and Nanophotonics Leader at Sydney Nano.

Eventually we expect photonic information will migrate to the CPU, the heart of any modern computer. Such a vision has already been mapped out by IBM.

On-chip nanometre-scale devices that use metals (known as plasmonic devices) allow for functionality that no conventional photonic device allows. Most notably, they efficiently compress light down to a few billionths of a metre and thus achieve hugely enhanced, interference-free, light-to-matter interactions.

As well as revolutionising general processing, this is very useful for specialised scientific processes such as nano-spectroscopy, atomic-scale sensing and nanoscale detectors, said Dr Tuniz also from the Sydney Institute of Photonics and Optical Science.

However, their universal functionality was hampered by a reliance on ad hoc designs.

We have shown that two separate designs can be joined together to enhance a run-of-the-mill chip that previously did nothing special, Dr Tuniz said.

This modular approach allows for rapid rotation of light polarisation in the chip and,becauseof that rotation, quickly permits nano-focusing down to about 100 times less than the wavelength.

Professor Martijn de Sterke is Director of the Institute of Photonics and Optical Science at the University of Sydney. He said: The future of information processing is likely to involve photons using metals that allow us to compress light to the nanoscale and integrate these designs into conventional silicon photonics.

This research was supported by the University of Sydney Fellowship Scheme, the German Research Foundation (DFG) under Germanys Excellence Strategy EXC-2123/1. This work was performed in part at the NSW node of the Australian National Fabrication Facility (ANFF).

See more here:

Light, fantastic: the path ahead for faster, smaller computer processors - News - The University of Sydney

Written by admin

May 17th, 2020 at 10:41 pm

Posted in Quantum Computer


Page 4«..3456..»