Archive for the ‘Quantum Computing’ Category

Google’s Billion Dollar News, Commercial Quantum Computers And More In This Week’s Top News – Analytics India Magazine

The Dutch and the Finnish are doing their part in shedding the dystopian sci-fi rep that AI gets usually. These European nations often show up on the top when it comes to initiatives that take the human aspect seriously. Now they are at it again. Amsterdam and Helsinki are making moves to make sure that transparency of AI applications is established. Not only that but these cities want their citizens to play an active role going forward. In what can be a more sci-fi sounding announcement, quantum computing industry leader DWave opens up their tech for business applications making it the first to do so. There is more to news, thanks to Google and find out why in this weeks top news brought to you by Analytics India Magazine.

VMware and NVIDIA are coming together to offer an end-to-end enterprise platform for AI along with a new architecture for data center, cloud and edge; services that use NVIDIAs DPUs. We are partnering with NVIDIA to bring AI to every enterprise; a true democratization of one of the most powerful technologies, said Pat Gelsinger, CEO of VMware.

The full stack of AI software available on the NVIDIA NGCTM hub will be integrated into VMware vSphere, VMware Cloud Foundation and VMware Tanzu. This in turn will help accelerate AI adoption across the industru and allows enterprises to deploy AI-ready infrastructure across the data centers, cloud and edge.

On Thursday, Googles CEO Sundar Pichai announced that they would be sparing $1 billion for enabling high quality journalism. In a blog post penned by Pichai, underlined Googles mission to organize the worlds information and make it universally accessible and useful. Googles News Showcase features the editorial curation of award-winning newsrooms to give readers more insight on the stories that matter, and in the process, helps publishers develop deeper relationships with their audiences. Google has already signed partnerships for News Showcase with nearly 200 leading publications across Germany, Brazil, Argentina, Canada, the U.K. and Australia and will soon be expanding to India, Belgium and the Netherlands.

On Tuesday, D-Wave Systems, the Canadian quantum computing company announced the general availability of its next-gen quantum computing platform that flaunt new hardware, software, and tools to enable and accelerate the delivery of in-production quantum computing applications. The company stated that the platform is available in the Leap quantum cloud service and includes the Advantage quantum system, with more than 5000 qubits and 15-way qubit connectivity. In addition to this, there is an expanded hybrid solver service that can run problems with up to one million variables. Together, these services enables users to scale to address real-world problems with enabling businesses to run real-time quantum applications for the first time.

The PyTorch has announced that developers can leverage its libraries on Cloud TPUs. The XLA library, SAID pYtoRCH, has reached general availability (GA) on Google Cloud and supports a broad set of entry points for developers. It has a fast-growing community of researchers from MIT, Salesforce Research, Allen AI and elsewhere who train a wide range of models accelerated with Cloud TPUs and Cloud TPU Pods.

According to PyTorch, the aim of this project was to make it as easy as possible for the PyTorch community to leverage the high performance capabilities that Cloud TPUs offer while maintaining the dynamic PyTorch user experience. To enable this workflow, the team created PyTorch / XLA, a package that lets PyTorch connect to Cloud TPUs and use TPU cores as devices.

Github announced that the code scanning option, CodeQL is now generally available to all developers. With this new option developers get prompts It scans code as its created and surfaces actionable security reviews within pull requests and other GitHub experiences you use everyday, automating security as a part of your workflow. This helps ensure vulnerabilities never make it to production in the first place.Code scanning is powered by CodeQLthe worlds most powerful code analysis engine and will enable developers to use the 2,000+ CodeQL queries created by GitHub and the community, or create custom queries to easily find and prevent new security concerns.

No two palms are alike. Thats the idea behind Amazon One, a new service by the e commerce giant which allows customers to pay with their palm. Contactless payments were all the rage this pandemic and Amazon wants to step up their technology at one of their stores. All you need is a credit card, your mobile number, and of course, your palm. Once youre signed up, you can use your palm to enter, identify, and pay where Amazon One is available. Governments around the world started to ease the restrictions for public spaces like malls and stadiums and services like Amazon One might see a huge rise in demand because touching surfaces is so 2019!

On Monday, Amsterdam and Helsinki launched AI registries to detail how the respective governments use algorithms to deliver services. AI Register is a window into the artificial intelligence systems used by these cities through the register, citizens can get acquainted with the quick overviews of the citys artificial intelligence systems or examine their more detailed information based on your own interests. They can also give feedback and thus participate in building human-centred AI.

I have a master's degree in Robotics and I write about machine learning advancements.email:ram.sagar@analyticsindiamag.com

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Google's Billion Dollar News, Commercial Quantum Computers And More In This Week's Top News - Analytics India Magazine

SC20 Invited Speakers Tackle Challenges for the Earth, Its Inhabitants, and Our Security Using ‘More Than HPC’ – HPCwire

Oct. 5, 2020 The Invited Talks for SC20 represent the breadth, depth and future outlook of technology and its societal and scientific impact. HPC has always played a critical role in advancing breakthroughs in weather and climate research. This years invited talks extend this further to data driven approaches, including biodiversity, geoscience, and quantum computing. Our speakers will also touch on responsible application of HPC and new technological developments to highlight the impact of this potent and versatile technology on a wide range of applications.

Hear these illustrious speakers during SC20 Invited Talks, TuesdayThursday, November 1719.

Lorena Barba(George Washington University) will explore the need for trustworthy computational evidence through transparency and reproducibility. With the explosion of new computational models for vital research, including COVID-19, applications that are of such importance to society highlight the requirement of building trustworthy computational models. Emphasizing transparency and reproducibility have helped us build more trust in computational findings. How should we adapt our practices for reproducibility to achieve unimpeachable provenance, and reach full accountability of scientific evidence produced via computation?

Shekhar Borkar(Qualcomm Inc.) will speak on the future of computing in the so-called post Moores law era. While speculations about the end of Moores law have created some level of fear in the community, this ending may not be coming as soon as we think. This talk will revisit the historic predictions of the end, and discuss promising opportunities and innovations that may further Moores law and continue to deliver unprecedented performance for years to come.

Dalia A. Conde(University of Southern Denmark) will offer a presentation on fighting the extinction crisis with data. With biodiversity loss identified by the World Economic Forum as one of humanitys greatest challenges, computational methods are urgently needed to secure a healthier planet. We must design and implement effective species conservation strategies, which rely on vast and disparate volumes of data, from genetics and habitat to legislation and human interaction. This talk will introduce the Species Knowledge Index initiative, which aims to map, quantify, analyze, and disseminate open information on animal species to policy makers and conservationists around the globe.

Tom Conte(Georgia Tech) will examine HPC after Moores law. Whether Moores law has ended, is about to end, or will never end, the slowing of the semiconductor innovation curve has left the industry looking for alternatives. Different approaches, beyond quantum or neuromorphic computing, may disrupt current algorithms and software development. This talk will preview the road ahead, and suggest some exciting new technologies on the horizon.

Marissa Giustina(Google LLC) will share the challenges and recent discoveries in the development of Googles Quantum computer, from both the hardware and quantum-information perspectives. This prototype hardware holds promise as a platform for tackling problems that have been impossible to address with existing HPC systems. The talk will include recent technological developments, as well as some perspective for the future of quantum computing.

Patrick Heimbach(The University of Texas at Austin) will discuss the need for advanced computing to help solve the global ocean state estimation problem. Because of the challenge of observing the full-depth global ocean circulation in its spatial detail, numerical simulations play an essential role in quantifying patterns of climate variability and change. New methods that are being developed at the interface of predictive data science remain underutilized in ocean climate modeling. These methods face considerable practical hurdles in the context of HPC, but will be indispensable for advancing simulation-based contributions to real world problems.

Simon Knowles(Graphcore) will discuss the reinvention of accelerated computing for artificial intelligence. As HPC changes in response to the needs of the growing user community, AI can harness enormous quantities of processing power even as we move towards power-limited computing. To balance these needs, the intelligence processor (IPU) architecture is able to capture learning processes and offer massive heterogeneous parallelism. This ground-up reinvention of accelerated computing will show considerable results for real applications.

Ronald P. Luijten(Data Motion Architecture and Consulting GmbH) will offer a presentation on data-centric architecture of a weather and climate accelerator. Using a co-design approach, a non-Von-Neumann accelerator targeting weather and climate situations was developed in tandem with the application code to optimize memory bandwidth. This also led to the filing of a patent for a novel CGRA (Course Grain Reconfigurable Array) layout that reflects grid points in the physical world. The talk will include benchmarks achieved in the project, and a discussion of next steps.

Catherine (Katie) Schuman(Oak Ridge National Laboratory) will introduce us to the future of AI and HPC, in the form of neuromorphic computing and neural accelerators. These two new types of computing technologies offer significant advantages over traditional approaches, including considerably increased energy efficiency and accelerated neural network-style computing. This talk will illustrate the fundamental computing concepts involved in these new hardware developments, and highlight some initial performance results.

Compton Tucker(NASA Goddard Space Flight Center) will speak on satellite tree enumeration outside of forests at the Fifty Centimeter Scale. Non-forest trees, which grow isolated outside of forests, and are not well documented, nevertheless play a crucial role for biodiversity, carbon storage, food resources, and shelter for humans & animals. This talk will detail the use of HPC and machine learning to enumerate isolated trees globally, to identify localized areas of degradation, and quantify the role of isolated trees in the global carbon cycle.

Cliff Young(Google LLC) will entertain the question of whether we can build a virtuous cycle between machine learning and HPC. While machine learning draws on many HPC components, the two areas are diverging in precision and programming models. However, it may be possible to construct a positive feedback loop between them. The Tensor Processing Unit (TPU) could provide opportunities to unite these fields to solve common problems through parallelization, mixed precision, and new algorithms.

Source: Melyssa Fratkin, SC20 Communications Chair

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SC20 Invited Speakers Tackle Challenges for the Earth, Its Inhabitants, and Our Security Using 'More Than HPC' - HPCwire

Quantum Computing in Aerospace and Defense Market:Revenue Gross, Demand, End-Users, Key Players, Top Competition, Growth & Forecast Insights till…

Quantum Computing in Aerospace and Defense Market Production Analysis and Geographical Market Performance Forecast

The most recent Quantum Computing in Aerospace and Defense Market Research study includes some noteworthy developments with accurate market estimates. It presents a thorough analysis dependent on an extensive research of the various market elements like development situation, market size, potential opportunities, trend analysis, and operational landscape. This market analysis centers on the Quantum Computing in Aerospace and Defense market business status, presents worth and volume, consumers, market product type, key players, and regional analysis.

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The market study on the global Quantum Computing in Aerospace and Defense Market profiles some of the leading companies. It provides a brief account of companies operational structure and mentions their strategic initiatives. Analysts have also provided complete information about their existing products and the ones in the pipeline and overview of the research and development statuses of products in these companies.

The prominent players covered in this report: D-Wave Systems Inc, Qxbranch LLC, IBM Corporation, Cambridge Quantum Computing Ltd, 1qb Information Technologies Inc., QC Ware Corp., Magiq Technologies Inc., Station Q-Microsoft Corporation, and Rigetti Computing

The Global Quantum Computing in Aerospace and Defense Market report covers the growth prospects and market landscape. After studying the key companies, the market analysis focuses on the new entrants and challenges they could face along with market competition. The research throws light on different facets of the market to determine weaknesses, strengths, opportunities, and limitations affecting the growth of the Global Quantum Computing in Aerospace and Defense Market.

The report studies the companies in the Global Market that are currently adopting new technological trends in the market. The market is segmented into By Component (Hardware, Software, Services), By Application (QKD, Quantum Cryptanalysis, Quantum Sensing, Naval)

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Quantum Computing in Aerospace and Defense Market:Revenue Gross, Demand, End-Users, Key Players, Top Competition, Growth & Forecast Insights till...

Quantum Computing Market : Advancements and Efficient Clinical Outcomes would Drive the Industry Growth with Top Key Player’s Analysis – The Daily…

Kenneth Research has published a detailed report on Quantum Computing Market which has been categorized by market size, growth indicators and encompasses detailed market analysis on macro trends and region-wise growth in North America, Latin America, Europe, Asia-Pacific and Middle East & Africa region. The report also includes the challenges that are affecting the growth of the industry and offers strategic evaluation that is required to boost the growth of the market over the period of 2019-2026.

The report covers the forecast and analysis of the Quantum Computing Market on a global and regional level. The study provides historical data from 2015 to 2019 along with a forecast from 2019-2026 based on revenue (USD Million). In 2018, the worldwide GDP stood at USD 84,740.3 Billion as compared to the GDP of USD 80,144.5 Billion in 2017, marked a growth of 5.73% in 2018 over previous year according to the data quoted by International Monetary Fund. This is likely to impel the growth of Quantum Computing Marketover the period 2019-2026.

The Final Report will cover the impact analysis of COVID-19 on this industry.

Request To Download Sample of This Strategic Report:https://www.kennethresearch.com/sample-request-10307113The report provides a unique tool for evaluating the Market, highlighting opportunities, and supporting strategic and tactical decision-making. This report recognizes that in this rapidly-evolving and competitive environment, up-to-date marketing information is essential to monitor performance and make critical decisions for growth and profitability. It provides information on trends and developments, and focuses on markets capacities and on the changing structure of the Quantum Computing.

The quantum annealing category held the largest share under the technology segment in 2019. This is attributed to successful overcoming of physical challenges to develop this technology and further incorporated in bigger systems. The BFSI category held the largest share in the quantum computing market in 2019. This is owing to the fact that the industry is growing positively across the globe, and large banks are focusing on investing in this potential technology that can enable them to streamline their business processes, along with unbeatable levels of security

Automotive to lead quantum computing market for consulting solutions during forecast periodAmong the end-user industries considered, space and defense is the largest contributor to the overall quantum computing market, and it is expected to account for a maximum share of the market in 2019. The need for secure communications and data transfer, with the demand in faster data operations, is expected to boost the demand for quantum computing consulting solutions in this industry. The market for the automotive industry is expected to grow at the highest CAGR

Quantum computing can best be defined as the use of the attributes and principles of quantum mechanics to perform calculations and solve problems. The global market for quantum computing is being driven largely by the desire to increase the capability of modeling and simulating complex data, improve the efficiency or optimization of systems or processes, and solve problems with more precision. A quantum system can process and analyze all data simultaneously and then return the best solution, along with thousands of close alternatives all within microseconds, according to a new report from Tractica.

2018 was a growth year for the market, as businesses from the BFSI sector showed tremendous interest in quantum computing and the trend is likely to continue in 2019 and beyond. Moreover, the public sector presents significant growth opportunity for the market. In the forthcoming years, the application opportunities for quantum computing is expected to expand further, which may lead to a higher commercial interest in the technology.

Market SegmentationThe report focuses on the following end-user sectors and applications for quantum computing:By Based on offering*Consulting solutions*Systems

By End-user sectors*Government.*Academic.*Healthcare.*Military.*Geology/energy.*Information technology.*Transport/logistics.*Finance/economics.*Meteorology.*Chemicals.

By Applications*Basic research.*Quantum simulation.*Optimization problems.*Sampling.

By Regional AnanlysisNorth America*U.S.*Canada

Europe*Germany*UK*France*Italy*Spain*Belgium*Russia*Netherlands*Rest of Europe

Asia-Pacific*China*India*Japan*Korea*Singapore*Malaysia*Indonesia*Thailand*Philippines*Rest of Asia-Pacific

Latin America*Brazil*Mexico*Argentina*Rest of LATAM

Middle East & Africa*UAE*Saudi Arabia*South Africa*Rest of MEA

The quantum computing market is highly competitive with high strategic stakes and product differentiation. Some of the key market players include International Business Machines (IBM) Corporation, Telstra Corporation Limited, IonQ Inc., Silicon Quantum Computing, Huawei Investment & Holding Co. Ltd., Alphabet Inc., Rigetti & Co Inc., Microsoft Corporation, D-Wave Systems Inc., Zapata Computing Inc., and Intel Corporation.

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Competitive Analysis:The Quantum Computing Market report examines competitive scenario by analyzing key players in the market. The company profiling of leading market players is included in this report with Porters five forces analysis and Value Chain analysis. Further, the strategies exercised by the companies for expansion of business through mergers, acquisitions, and other business development measures are discussed in the report. The financial parameters which are assessed include the sales, profits and the overall revenue generated by the key players of Market.

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Atos and ECMWF launch Center of Excellence in Weather & Climate Modelling to support researchers with HPC, AI and quantum capabilities -…

Using these latest advances in technology, ECMWF researchers will be able to improve the ability to forecast the occurrence and intensity of extreme weather events and other new weather phenomena triggered by climate change. Equipped with Atos latest BullSequana supercomputer, the Center of Excellence will also be supported by Atos experts and technology partners who will collaborate directly with ECMWF research scientists in order to develop new techniques to support next-generation weather forecasting, help boost climate and weather discovery and innovation, and help prepare ECMWF for future HPC and data handling architectures.

Bringing together world-class experts in computing, computational science and Earth system science is key to continuing to advance our medium- and long-range weather forecasting. The Center builds on a previous successful collaboration with Atos and will play a significant role in helping us to improve and reliably predict the occurrence and intensity of extreme weather events and other events associated with climate change significantly ahead of time, said Dr Florence Rabier, Director General at ECMWF. Technology will play a key role in supporting our experts in the field and enabling partners in our 34 Member and Co-operating States across Europe to continue to protect life and property in their countries.

Pierre Barnab, Senior Executive Vice-President, Head of Big Data & Cybersecurity at Atos said: We are thrilled to establish this Center of Excellence together with ECMWF, where researchers will be able to explore the different usages of HPC and AI through proof of concept production, as well as innovation workshops, courses and conferences. High-performance Computing assisted by artificial intelligence holds huge potential for the climate and weather. It also introduces new methods and techniques that are only just becoming available.

As part of the new Center of Excellence, one of the initial projects will be to develop Machine learning solutions for applications across the numerical weather prediction workflow that are customized towards the needs of Earth system modelling. A second project will look to develop a CPU-GPU-based version of ECMWFs Integrated Forecasting System (IFS) and the wave model WAM, and to prepare the ECMWF product-generation pipeline and data-centric workflows for new technologies.

As part of the Atos Center of Excellence (CoE) in Advanced Computing, the Weather & Climate CoE is Atos second CoE dedicated to HPC, AI and quantum technologies which is focused on a scientific domain. The first being launched on 8 July, together with the Wellcome Genome Campus and which is focused on Life Sciences.

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Technical Details

The research will be powered by ECMWFs new Atos BullSequana XH2000 supercomputer, one of the most powerful meteorological supercomputers in the world. The system is equipped with BullSequana X2415 blades, utilizing NVIDIAs next-generation graphics processing unit architecture, the NVIDIA A100 Tensor Core GPU, and is supported by Atos Codex AI Suite, the most comprehensive AI software suite on the market. This will provide advanced GPU computing and AI capability to enable ECMWF researchers to speed-up processing times on the most complex data, enabling them to gain insights faster, using the power of deep learning and analytics.

The Center of Excellence will also have access to Atos Quantum Learning Machine (QLM), the most advanced Quantum Computing Simulator available today, to explore how quantum computing may impact weather and climate prediction in the future. The Center will also be supported by expert staff from AMD, Mellanox, Nvidia and DDN, allowing it to explore accelerated computing techniques as well as issues related to storage and data access.

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Atos and ECMWF launch Center of Excellence in Weather & Climate Modelling to support researchers with HPC, AI and quantum capabilities -...