Pentagon Is Clinging to Aging Technologies, House Panel Warns – The New York Times

WASHINGTON A bipartisan House panel said on Tuesday that artificial intelligence, quantum computing, space and biotechnology were making traditional battlefields and boundaries increasingly irrelevant but that the Pentagon was clinging to aging weapons systems meant for a past era.

The panels report, called the Future of Defense Task Force, is one of many underway in Congress to grapple with the speed at which the Pentagon is adopting new technologies, often using the rising competition with China in an effort to spur the pace of change.

Most reach a similar conclusion: For all the talk of embracing new technologies, the politics of killing off old weapons systems is so forbidding often because it involves closing factories or bases, and endangers military jobs in congressional districts that the efforts falter.

The task force said it was concentrating on the next 30 to 50 years, and concluded that the Defense Department and Congress should be focused on the needs of the future and not on the political and military-industrial loyalties of the past.

We are totally out of time, and here is a bipartisan group in this environment saying that this is a race we have to win and that we are currently losing, said Representative Seth Moulton, Democrat of Massachusetts, who served with the Marine Corps in Iraq and was a co-chairman of the task force. There is a misalignment of priorities, and diminishing time to make dramatic changes.

The report calls for the United States to undertake an artificial intelligence effort that uses the Manhattan Project as a model, citing the drive in World War II to assemble the nations best minds in nuclear physics and weapons to develop the atomic bomb. The task force found that although the Pentagon had been experimenting with artificial intelligence, machine learning and even semiautonomous weapons systems for years, cultural resistance to its wider adoption remains.

It recommended that every major military acquisition program evaluate at least one A.I. or autonomous alternative before it is funded. It also called for the United States to lead in the formulation and ratification of a global treaty on artificial intelligence in the vein of the Geneva Conventions, a step the Trump administration has resisted for cyberweaponry and the broader use of artificial intelligence.

But questions persist about whether such a treaty would prove useful. While nuclear and chemical weapons were largely in the hands of nations, cyberweapons and artificial intelligence techniques are in the hands of criminal groups, terrorist groups and teenagers.

Nonetheless, the reports focus on working with allies and developing global codes of ethics and privacy runs counter to the instincts of the Trump administration, making it more surprising that the Republican members of the task force signed on.

I think this is a case of pushing for a different path at the Pentagon, said Representative Jim Banks, Republican of Indiana and a co-chairman of the group.

In an interview, he was careful to avoid criticizing the White House this president has been good for defense budgets, he said but Mr. Banks praised the work of Ashton B. Carter, President Barack Obamas last defense secretary, for beginning initiatives to force the Pentagon to explore and adopt technologies already developed in the private sector.

This week, House Republicans plan to issue another report, aimed at containing Chinese power.

Arguing for an end to reliance on legacy systems is one thing; executing that policy is another. Usually each of those weapons systems has a constituency that can step in to save it, often wielding the argument that the Pentagon would be putting workers and military contractors out of a job. Notably, the task force did not identify which systems needed to be retired.

But the task force concluded that approach had squelched risk-taking, and could hinder the militarys ability to fully utilize private sector innovation.

The Pentagon knows how to acquire large programs, like fighter jets or aircraft carries, but it is less adept at purchasing at scale the types of emerging technologies that will be required for future conflict, it said.

Defense Department officials have sought to address that problem. But the task force found that while those efforts sometimes succeeded, they were too small, and the Pentagon has so far only been able to tap into a fraction of the innovation being developed in the United States.

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Pentagon Is Clinging to Aging Technologies, House Panel Warns - The New York Times

The global silicon photonics market accounted for $520.0 million in 2019 and is expected to reach $3.07 billion by 2025 – PRNewswire

NEW YORK, Sept. 30, 2020 /PRNewswire/ --

Read the full report: https://www.reportlinker.com/p05975671/?utm_source=PRN

Market Report Coverage - Silicon Photonics

Market Segmentation

Product Type Optical Transceivers, Optical Cables, RF Circuit, Multiplexers, Attenuators, and others Application Type Data Communication, Telecommunication, Healthcare, Consumer Electronics, Defense and Security, and others

Regional Segmentation

North America - U.S., Canada, and Mexico Europe Germany, France, Italy, Spain, and Rest-of-Europe Asia-Pacific & Japan- India, South Korea, Japan, and Rest-of-APAC U.K. China Middle East & Africa South America

Growth Drivers

Increasing demand for 5G communication High speed data transmission through silicon photonics Rising deployment of data centers

Market Challenges

Complex design platforms and fabrication processes Packaging issues with silicon photonics devices

Market Opportunities

Usage of silicon photonic chips for quantum computing Integration of silicon photonics to develop LiDARs Use of silicon photonics in oil & gas industry

Key Companies Profiled

Acacia Communications, Inc., Broadcom Inc., Cisco Systems, Inc., GlobalFoundries, Hamamatsu Photonics K.K., Huawei Technologies Co., Ltd., IBM Corporation, II-VI Incorporated, Infinera Corporation, Intel Corporation, Juniper Networks, Inc., Mellanox Technologies Ltd., Molex Incorporated, NeoPhotonics Corporation, and ST Microelectronics N.V.

Key Questions Answered in this Report: What are the key drivers and challenges in the global silicon photonics market? How does the supply chain function in the global silicon photonics market? Which product type segment is expected to witness the maximum demand growth in the global silicon photonics market during 2019-2025? Which are the key application areas for which silicon photonics may experience high demand during the forecast period, 2020-2025? Which are the key suppliers of silicon photonics in different countries and regions? How is the industry expected to evolve during the forecast period 2020-2025? What are the key offerings of the prominent manufacturers in the global silicon photonics market? Which regions and countries are leading in terms of consumption of silicon photonics, and which of them are expected to witness high demand growth from 2019 to 2025? What are the key consumer attributes in various countries in the silicon photonics market? Which are the major patents filed in the space? What are the key developmental strategies which are implemented by the key players to sustain in the competitive market? What is the competitive strength of the key players in the silicon photonics market on the basis of their recent developments, product offerings, and regional presence? Which are the key players (along with their detailed analysis and profiles, including their company snapshots, key products and services, and strength and weakness analysis) in the market? What is the competitive strength of the key players in the silicon photonics market on the basis of their recent developments, product offerings, and regional presence? Which are the key players (along with their detailed analysis and profiles, including their company snapshots, key products and services, and strength and weakness analysis) in the market?

Market Overview

An exponential growth has been observed in the storage of both structured and non-structured data as the society is transitioning to become a data-centric one.The data storage, computation, and networking are anticipated to bring new possibilities.

Organizations are making use of the Big Data to gain agility, identify loopholes, and accordingly work to maximize their potential and transform the businesses.The data centers available today have enormous computational power, processing capacity, and storage facility.

However, the increased user requirements and technological innovations have led to the development of new ways of managing and measuring data so that insightful solutions and interpretation can be derived out of the complex pile of big data. Especially during the ongoing situation of COVID-19, when digitalization is one of the most effective tools for sustainability, the requirement of effective data centers and higher speed interconnects have become a necessity.

Silicon photonics is a technology that uses silicon as an optical medium for data transmission.The technology is both cost as well as energy-efficient and majorly helps in resolving problems related to huge data transfer (>100 Gigabyte) and slow internet speed.

The problem to transfer huge amount of data swiftly could be resolved through high density photonics integration with photonics devices.

The global silicon photonics market accounted for $520.0 million in 2019 and is expected to reach $3.07 billion by 2025. The market is anticipated to grow at a CAGR of 33.95% during the forecast period 2020 to 2025. Rapid expansion of internet and high mobile adoption are some of the major opportunities that the silicon photonics market is lined up with in the coming future. Over the years, major players are showing their interest in silicon photonics market. Players such as Intel Corporation, Cisco Systems, Inc., IBM Corporation and Juniper Networks, Inc. among others are investing to a large extent in the global silicon photonics market in order to improvise their products as well as to capture a major market share.

Competitive Landscape

Some of the strategies adopted by the companies are new product launches, business expansions, and partnerships, and collaborations.Among all the strategies adopted, partnerships and collaborations and product launches have been the leading choices implemented in the competitive landscape.

IBM Corporation, II-VI Incorporated, Infinera Corporation, Intel Corporation, and Juniper Networks, Inc. are some of the leading players in the global silicon photonics market. The industry landscape is quite competitive because of the large number of players in the market. Therefore, innovation and development have been the key factors for large scale growth in this market. To increase their overall global footprint, the manufacturers are expanding their businesses and are also entering into strategic partnerships to increase their customer base and overall reach.

Countries Covered North America U.S. Canada Mexico South America Europe Germany France Spain Italy Rest-of-Europe U.K. Middle East and Africa China Asia-Pacific & Japan Japan South Korea India Rest-of-Asia-Pacific

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The global silicon photonics market accounted for $520.0 million in 2019 and is expected to reach $3.07 billion by 2025 - PRNewswire

IBM Partners With HBCUs to Diversify Quantum Computing Workforce – Diverse: Issues in Higher Education

September 21, 2020 | :

In partnership with historically Black colleges and universities (HBCUs), IBM recently launched a quantum computing research initiative to raise awareness of the field and diversify the workforce.

The IBM-HBCU Quantum Center, a multi-year investment, will fund undergraduate and graduate research, provide access to IBM quantum computers through the Cloud and offer student support.

Quantum computing is considered a fairly young field and quantum computers were not readily available in research labs until 2016. IBM was the first company to put a quantum computer on the Cloud, which allows it to be accessible from anywhere, according to Dr. Abraham Asfaw, global lead of Quantum Education and Open Science at IBM Quantum.

What that implies is that now anyone around the world can participate, he said. This is why we have this broad education effort, to really try and make quantum computing open and accessible to everyone. The scale of the industry is very small but we are stepping into the right direction in terms of trying to get more people into the field.

The 13 HBCUs that will be part of the initiative include Albany State University, Clark Atlanta University, Coppin State University, Hampton University, Howard University, Morehouse College, Morgan State University, North Carolina Agricultural and Technical State University, Southern University, Texas Southern University, University of the Virgin Islands, Virginia Union University and Xavier University of Louisiana.

Each of the schools was chosen based on how much the school focused on science, technology, engineering and mathematics (STEM).

Its very important at this point to be building community and to be educating everyone so that we have opportunities in the quantum computing field for everyone, said Asfaw. While at the same time, we are bringing in diverse perspectives to see where quantum computing applications could emerge.

Dr. Abraham Asfaw

The center encourages individuals from all STEM disciplines to pursue quantum computing. According to Asfaw, the field of quantum computing is considered highly interdisciplinary.

Teaching quantum computing, at any place, requires bringing together several departments, he said. So putting together a quantum curriculum is an exercise in making sure your students are trained in STEM all the way from the beginning to the end with different pieces from the different sciences instead of just one department altogether.

Diversifying the quantum computing workforce can also be looked at in two ways. One is getting different groups of people into the field and the other is bringing different perspectives into the field from the direction of the other sciences that could benefit from quantum computing, according to Asfaw.

We are in this discovery phase now, so really having help from all fields is a really powerful thing, he added.

IBM also plans to donate $100 million to provide more HBCUs with resources and technology as part of the Skills Academy Academic Initiative in Global University Programs. This includes providing HBCUs with university guest lectures, curriculum content, digital badges, software and faculty training by the end of 2020, according to IBM.

Our entire quantum education effort is centered around making all of our resources open and accessible to everyone, said Asfaw. [Our investment] is really an attempt to integrate HBCUs, which also are places of origin for so many successful scientists today, to give them opportunities to join the quantum computing revolution.

According to IBM, the skills academy is a comprehensive, integrated program designed to create a foundation of diverse and high demand skill sets that directly correlate to what students will need in the workplace.

The academy will address topics such as artificial intelligence, cybersecurity, blockchain, design thinking and quantum computing.

Those HBCUs involved in the academy include Clark Atlanta University, Fayetteville State University, Grambling State University, Hampton University, Howard University, Johnson C. Smith University, Norfolk State University, North Carolina A&T State University, North Carolina Central University, Southern University System, Stillman College, Virginia State and West Virginia State University.

While we are teaching quantum computing, while we are building quantum computing at universities, while we are training developers to take on quantum computer, it is important at this point to be inclusive and accessible as possible, said Afsaw. That really allows the field to progress.

This summer, IBM also hosted the 2020 Qiskit Global Summer School, which was designed for people to further explore the quantum computing field. The program involved three hours of lectures as well as hands-on learning opportunities. Many HBCU students were part of the program.

This shows you thats one piece of the bigger picture of trying to get the whole world involved in quantum education, said Asfaw. Thats the first place where HBCUs were involved and we hope to continue to build on even more initiatives going forward.

Sarah Wood can be reached at swood@diverseeducation.com.

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IBM Partners With HBCUs to Diversify Quantum Computing Workforce - Diverse: Issues in Higher Education

Artificial intelligence, robotics, quantum computing, sustainability & global volatility: DHL Logistics Trend Radar unveils trends that will shape…

In the fifth edition of the Logistics Trend Radar, DHL once more has revealed 29 key trends that will impact the logistics industry over the next years. The Report is the result of an extensive analysis of macro and micro trends, as well as the insights from a large partner network including research institutes, tech players, startups, and customers.

For us as logistics experts, it is important to forecast the challenges ahead and envision possible solutions so that we may best advise our customers. The mega trends that will continue to engage us are not unfamiliar: new technologies, growing e-commerce and sustainability, says Katja Busch, Chief Commercial Officer, DHL. But some areas will evolve faster than others, so there is the need to understand the underlying trends and their impact on logistics not least because of the impact of COVID-19 on global commerce and the entire workforce. As a world leader in logistics, we have the insights and the expertise to evaluate the situation.

Well over 20,000 logistics professionals and technology experts shared their perspectives on the future of the industry when visiting the DHL Innovations Centers over the last two years. The findings are consolidated and reflected on the Logistics Trend Radar which acts as a dynamic and strategic foresight tool that tracks the evolution of trends spotted in past editions, identifying present and future trends with every update.

The next big challenge will be future proofing the logistics workforce through training and upskilling in increasingly technologically sophisticated operations. This will take center stage on the strategic agendas of supply chain organizations in the years to come, said Matthias Heutger, Senior Vice President, Global Head of Innovation & Commercial Development at DHL. The Logistics Trend Radar serves as seismograph for future trends. Based on data from the last seven years, we can make longer-term forecasts and thus support our partners and customers to create roadmaps for their business as well as helping to structure and catalyze further industry-leading research and innovations. In this edition, we already see the impact of COVID-19 is accelerating trends that were already well underway big data analytics, robotics and automation, and IoT, all of which are underpinned by steady progress in artificial intelligence.

Acceleration of transformation processes

The fifth-edition Logistics Trend Radar indicates that we are experiencing an overall stabilization of trends from the past four years. However, with the logistics industry weathering the current global pandemic, transformation processes have been accelerated. COVID-19 has driven changes regarding recent logistics innovation, automation, and digital work more rapidly and has accelerated industry digitalization by years. Conversely, many trends initially perceived as disruptive game-changers for the logistics industry have yet to deliver on their disruptive potential. Self-driving vehicles and drones continue to be held back by legislative and technical challenges as well as limited social acceptance. Logistics Marketplaces are stabilizing on a few leading platforms, and established forwarders are entering the game with their own digital offerings, backed with robust global logistics networks. From cloud computing to collaborative robotics, big data analytics, artificial intelligence, and the Internet of Things, logistics professionals have to make sense of a vast market of novel technology. Modernizing all touchpoints of supply chains, from an elegant digital or customer journey, through fulfillment transport and final mile delivery is the new imperative for long-term success. Those who adopt and scale new technology and upskill workforces fastest, will have a competitive advantage on the market.

E-commerce growth continues to advance innovation and sustainability agendas

E-commerce is still growing rapidly and yet represents only a fraction of global consumer retail spending. Business-to-business e-commerce is expected to follow suit and dwarfs the consumer market size by a factor of three. The coronavirus pandemic has served not only to accelerate both e-commerce growth and supply chain innovation agendas. Key moves to scale and adopt new technology like intelligent physical automation, IoT-powered visibility tools, and predictive capabilities from AI will ultimately determine the ability to fulfill heightened customer demands and secure industry leadership positions in the future.

With governments, cities and solution providers commit to cut down on CO2 emissions and waste, sustainability now is an imperative for the logistics industry. Indicated by the increasing demand on sustainable solutions to reduce waste, leverage new propulsion techniques and optimize facilities, it is also on top of the supply chain agendas. Today, 90+ national bans on single-use plastics exists and bulky packaging causing 40 percent parcel void space, making a rethinking of the packaging inevitable. Sustainable Logistics optimization of processes, materials, new propulsion techniques, and smart facilities provide huge potential for logistics to become more environmentally friendly. Smart Containerization in transportation will also be important in developing environmentally friendly formats for delivery in congested cities.

DHL regularly publishes the Logistics Trend Radar as a key instrument for the global logistics community. Both within DHL and across industry, it has become an acclaimed benchmark for strategy and innovation, as well as a key tool to shape the direction of specific trends, most recently packaging, 5G, robotics and digital twins.

The fifth edition DHL Logistics Trend Radar, including information on deep dives and projects, is available for free download atwww.dhl.com/trendradar

SOURCE: DHL

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Artificial intelligence, robotics, quantum computing, sustainability & global volatility: DHL Logistics Trend Radar unveils trends that will shape...

Inaugural OSA Quantum 2.0 Conference Featured Talks on Emerging Technologies – Novus Light Technologies Today

The unique role of optics and photonics in driving quantum research and technologies was featured in presentations for the inaugural OSA Quantum 2.0 Conference held 14 17 September. The all-virtual event, presented concurrently with the 2020 Frontiers in Optics and Laser Science APS/DLS (FiO + LS) Conference, drew almost 2,500 registrants from more than 70 countries.

Live and pre-recorded technical presentations on quantum computing and simulation to quantum sensing were available for registrants across the globe at no cost. The conference engaged scientists, engineers and others addressing grand challenges in building a quantum science and technology infrastructure.

The meeting succeeded in bringing together scientists from academia, industry and government labs in a very constructive way, said conference co-chair Michael Raymer of the University of Oregon, USA. The high quality of the talks, along with the facilitation by the presiders and OSA staff, moves us closer to the goal of an open, global ecosystem for advancing quantum information science and technology.

Marissa Giustina, senior research scientist and quantum electronics engineerwith Google AI Quantum, described the companys efforts to build a quantum computer in her keynote talk. Googles goal was to build a prototype system that could enter a space where no classical computer can go at a size of about 50 qubits. To create a viable system, Guistina said there must be strong collaboration between algorithm and hardware developers.

Quantum Algorithms for Finite Energies and Temperatures was the focus of a talk by Ignacio Cirac, director of the Theory Division at the Max Planck Institute of Quantum Optics and Honorary Professor at the Technical University of Munich. He described advances in quantum simulators for addressing problems with the dynamics of physical quantum systems. His recent work focuses on developing algorithms for use on quantum simulators to solve many-body problems

Solutions to digital security challenges was the topic of a talk by Gregoire Ribordy,co-founder and CEO of ID Quantique, Switzerland. He described quantum security techniques, technology and strengths in his keynote talk titled Quantum Technologies for Long-term Data Security. His work centers on the use of quantum safe cryptography and quantum key distribution, and commercially available quantum random number generators in data security.

Mikhail Lukin, co-director of the Harvard Quantum Initiative in Science and Engineering and co-director of the Harvard-MIT Center for Ultracold Atoms, USA, described progress towards quantum repeaters for long-distance quantum communication. He also discussed a new platform for exploring synthetic quantum matter and quantum communication systems based on nanophotonics with atom-like systems.

Conference-wide sponsors for the combined OSA Quantum 2.0 Conference and FiO + LS Conference included Facebook Reality Labs, Toptica Photonics and Oz Optics. Registrants interacted with more than three dozen companies in the virtual exhibit to learn about their latest technologies from instruments for quantum science and education to LIDAR and remote sensing applications.

Registrants can continue to benefit from conference resources for 60 days. Recordings of the technical sessions, the e-Posters Gallery and the Virtual Exhibit will be available on-demand on the FiO + LS website.

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Inaugural OSA Quantum 2.0 Conference Featured Talks on Emerging Technologies - Novus Light Technologies Today

Teratec to Present the Latest Innovations in Simulation, HPC, Big Data and AI (Oct. 13-14) – HPCwire

Sept. 21, 2020 On October 13 and 14, digital version of the next Teratec Forum will present a review of the latest international advances in the fields of simulation, HPC (High Performance Computing), Big Data and artificial intelligence.

These technologies are more than ever at the forefront at a time when the need for analysis, research, prototyping, innovation is all the more necessary for the revival of industry and the economy. And they are taking such due place in sectors as varied as health, industry, aerospace, construction, and security.

The virtual exhibition will thus present latest technologies proposed by nearly 50 exhibitors (manufacturers and publishers, suppliers and integrators of hardware, software and services solutions, universities and research laboratories, centers of excellence, competence centers, European research projects, infrastructures and service platforms). Visitors wishing to deepen their knowledge, to attend demonstrations and be advised by best experts will be able to arrange for personalized appointments throughout the forum.

The plenary session will address major challenges facing French and European industry for which these innovative technologies will play a key role, with the participation of Thierry Breton, European Commissioner, Florence Parly, French Minister of the Armed Forces, Trish Damkroger, Vice President, Intel Data Center Group, Kevin D. Kissell, CTO, Google, as well as French and European industry leaders.

During the technical and application workshops, renowned international experts and industrialists will explain how they developed and implemented these innovative technologies on main themes of the digital twin in medicine, quantum computing, satellite data serving the environment, AI and scientific computing, Cloud computing and HPC, as well as Exascale.

Finally, the Numerical Simulation and AI Trophies will reward one innovative project or a company that has carried out an outstanding operation in the field of numerical simulation, high-performance computing, Big Data or AI. Added to our 5 usual trophies, an exceptional prize will be granted this year: the COVID-19 Trophy awarded to a product, technology or service providing an effective solution in the management or recovery from a health crisis such as COVID-19.

Registration and Information:https://teratec.eu/forum

Source: Teratec

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Teratec to Present the Latest Innovations in Simulation, HPC, Big Data and AI (Oct. 13-14) - HPCwire

Global Topological Quantum Computing Market Demand is Increasing Rapidly in Recent Years With Advanced Technology to Improve Product Facilities. -…

A new business intelligence report released by Global Marketerswith the title Topological Quantum Computing Market Insights by Application, Product Type, Competitive Landscape & Regional Forecast 2026 is designed covering the micro-level of analysis by manufacturers and key business segments. The Global Topological Quantum Computing Market examination analysis offers vigorous visions to conclude and study the market size, market hopes, and competitive surroundings. The research is resultant through primary and secondary statistics sources and it comprises both qualitative and quantitative detailing.

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Topological Quantum Computing Market Segment by Manufacturers includes:

MicrosoftHewlett PackardD-Wave SystemsIBMIntelGoogleIonQRaytheonAirbusAlibaba Quantum Computing Laboratory

Topological Quantum Computing Market Segment by Regions includesNorth America (USA, Canada and Mexico), Europe (Germany, France, UK, Russia and Italy), Asia-Pacific (China, Japan, Korea, India and Southeast Asia), South America, Middle East and Africa.

The Global Topological Quantum Computing Market research report offers an in-depth analysis of the global market, providing relevant information for the new market entrants or well-established players. Some of the key strategies engaged by leading key players working in the market and their impact analysis have been included in this research report.

Product Type Segmentation, the Topological Quantum Computing Market can be Split into:

SoftwareHardwareServiceetc

Industry Segmentation, the Topological Quantum Computing Market can be Split into:

CivilianBusinessEnvironmentalNational SecurityOthersetc.

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The study conducts a SWOT analysis to evaluate the strengths and weaknesses of the key players in the Topological Quantum Computing market. Further, the Topological Quantum Computing report conducts an intricate examination of drivers and restraints operating in the market. The report also evaluates the trends pragmatic in the parent market, besides the macro-economic indicators, current factors, and market appeal with regard to different segments. The report predicts the influence of different industry aspects on the Topological Quantum Computing market segments and regions.

Important Features that are under offering & key highlights of the report:

Detailed overview of the Topological Quantum Computing market

Changing market dynamics of the Market

Comprehensively market segmentation by Type, Application etc

Past, present, and predictable market size in terms of volume and value

Latest industry trends and developments

Competitive landscape of the Topological Quantum Computing market

Strategies of key players and product offerings

Potential and niche segments/regions exhibit promising growth

Table of Contents

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Global Topological Quantum Computing Market Demand is Increasing Rapidly in Recent Years With Advanced Technology to Improve Product Facilities. -...

Impact Of COVID-19 On Quantum Computing Market 2020 Industry Challenges, Business Overview And Forecast Research Study 2026 – The Daily Chronicle

The study of Quantum Computing market is a compilation of the market of Quantum Computing broken down into its entirety on the basis of types, application, trends and opportunities, mergers and acquisitions, drivers and restraints, and a global outreach.

Based on the Quantum Computing industrial chain, this report mainly elaborates the definition, types, applications and major players of Quantum Computing market in details. Deep analysis about market status (2014-2019), enterprise competition pattern, advantages and disadvantages of enterprise products, industry development trends (2019-2024), regional industrial layout characteristics and macroeconomic policies, industrial policy has also be included. From raw materials to downstream buyers of this industry will be analyzed scientifically, the feature of product circulation and sales channel will be presented as well. In a word, this report will help you to establish a panorama of industrial development and characteristics of the Quantum Computing market., The Quantum Computing market can be split based on product types, major applications, and important regions.

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Major Players in Quantum Computing market are:, Intel Corporation, QxBranch, LLC, Hewlett Packard Enterprise (HP), Toshiba Corporation, Magiq Technologies Inc., Cambridge Quantum Computing Ltd, Google Inc., Accenture, University Landscape, Nippon Telegraph And Telephone Corporation (NTT), Rigetti Computing, Evolutionq Inc, D-Wave Systems Inc., 1QB Information Technologies Inc., Fujitsu, Quantum Circuits, Inc, QC Ware Corp., Station Q Microsoft Corporation, Hitachi Ltd, International Business Machines Corporation (IBM), Northrop Grumman Corporation

Major Regions that plays a vital role in Quantum Computing market are:, North America, Europe, China, Japan, Middle East & Africa, India, South America, Others

The global Quantum Computing market report is a comprehensive research that focuses on the overall consumption structure, development trends, sales models and sales of top countries in the global Quantum Computing market. The report focuses on well-known providers in the global Quantum Computing industry, market segments, competition, and the macro environment.

A holistic study of the Quantum Computing market is made by considering a variety of factors, from demographics conditions and business cycles in a particular country to market-specific microeconomic impacts. Quantum Computing industry study found the shift in market paradigms in terms of regional competitive advantage and the competitive landscape of major players.

Brief about Quantum Computing Market Report with [emailprotected]https://arcognizance.com/report/global-quantum-computing-industry-market-research-report

Most important types of Quantum Computing products covered in this report are:, Simulation, Optimization, Machine Learning

Most widely used downstream fields of Quantum Computing market covered in this report are:, Aerospace & Defence, IT and Telecommunication, Healthcare, Government, BFSI, Transportation, Others

There are 13 Chapters to thoroughly display the Quantum Computing market. This report included the analysis of market overview, market characteristics, industry chain, competition landscape, historical and future data by types, applications and regions.

Chapter 1: Quantum Computing Market Overview, Product Overview, Market Segmentation, Market Overview of Regions, Market Dynamics, Limitations, Opportunities and Industry News and Policies.

Chapter 2: Quantum Computing Industry Chain Analysis, Upstream Raw Material Suppliers, Major Players, Production Process Analysis, Cost Analysis, Market Channels and Major Downstream Buyers.

Chapter 3: Value Analysis, Production, Growth Rate and Price Analysis by Type of Quantum Computing.

Chapter 4: Downstream Characteristics, Consumption and Market Share by Application of Quantum Computing.

Chapter 5: Production Volume, Price, Gross Margin, and Revenue ($) of Quantum Computing by Regions (2014-2019).

Chapter 6: Quantum Computing Production, Consumption, Export and Import by Regions (2014-2019).

Chapter 7: Quantum Computing Market Status and SWOT Analysis by Regions.

Chapter 8: Competitive Landscape, Product Introduction, Company Profiles, Market Distribution Status by Players of Quantum Computing.

Chapter 9: Quantum Computing Market Analysis and Forecast by Type and Application (2019-2024).

Chapter 10: Market Analysis and Forecast by Regions (2019-2024).

Chapter 11: Industry Characteristics, Key Factors, New Entrants SWOT Analysis, Investment Feasibility Analysis.

Chapter 12: Market Conclusion of the Whole Report.

Chapter 13: Appendix Such as Methodology and Data Resources of This Research.

Some Point of Table of Content:

Chapter One: Quantum Computing Introduction and Market Overview

Chapter Two: Industry Chain Analysis

Chapter Three: Global Quantum Computing Market, by Type

Chapter Four: Quantum Computing Market, by Application

Chapter Five: Global Quantum Computing Production, Value ($) by Region (2014-2019)

Chapter Six: Global Quantum Computing Production, Consumption, Export, Import by Regions (2014-2019)

Chapter Seven: Global Quantum Computing Market Status and SWOT Analysis by Regions

Chapter Eight: Competitive Landscape

Chapter Nine: Global Quantum Computing Market Analysis and Forecast by Type and Application

Chapter Ten: Quantum Computing Market Analysis and Forecast by Region

Chapter Eleven: New Project Feasibility Analysis

Chapter Twelve: Research Finding and Conclusion

Chapter Thirteen: Appendix continued

List of tablesList of Tables and Figures Figure Product Picture of Quantum ComputingTable Product Specification of Quantum ComputingFigure Market Concentration Ratio and Market Maturity Analysis of Quantum ComputingFigure Global Quantum Computing Value ($) and Growth Rate from 2014-2024Table Different Types of Quantum ComputingFigure Global Quantum Computing Value ($) Segment by Type from 2014-2019Figure Simulation PictureFigure Optimization PictureFigure Machine Learning PictureTable Different Applications of Quantum ComputingFigure Global Quantum Computing Value ($) Segment by Applications from 2014-2019Figure Aerospace & Defence PictureFigure IT and Telecommunication PictureFigure Healthcare PictureFigure Government PictureFigure BFSI PictureFigure Transportation PictureFigure Others PictureTable Research Regions of Quantum ComputingFigure North America Quantum Computing Production Value ($) and Growth Rate (2014-2019)Figure Europe Quantum Computing Production Value ($) and Growth Rate (2014-2019)Table China Quantum Computing Production Value ($) and Growth Rate (2014-2019)Table Japan Quantum Computing Production Value ($) and Growth Rate (2014-2019)continued

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Impact Of COVID-19 On Quantum Computing Market 2020 Industry Challenges, Business Overview And Forecast Research Study 2026 - The Daily Chronicle

Nature through the looking glass | symmetry magazine – Symmetry magazine

Our right and left hands are reflections of one another, but they are not equal. To hide one hand perfectly behind the other, we must face our palms in opposite directions.

In physics, the concept of handedness (or chirality) works similarly: It is a property of objects that are not dynamically equivalent to their mirror images. An object that can coincide with its mirror-image twin in every coordinate, such as a dumbbell or a spoon, is not chiral.

Because our hands are chiral, they do not interact with other objects and space in the exact same way. In nature, you will find this property in things like proteins, spiral galaxies and most elementary particles.

These different-handed object pairs reveal some puzzling asymmetries in the way our universe works. For example, the weak forcethe force responsible for nuclear decay has an effect only on particles that are left-handed. Also, life itselfevery plant and creature we knowis built almost exclusively with right-handed sugars and left-handed amino acids.

If you have anything with a dual principle, it can be related to chirality, says Penlope Rodrguez, a postdoctoral researcher at the Physics Institute of the National Autonomous University of Mexico. This is not exclusive to biology, chemistry or physics. Chirality is of the universe.

Chirality was discovered in 1848 by biomedical scientist Louis Pasteur. He noticed that right-handed and left-handed crystals formed when racemic acid dried out.

He separated them, one by one, into two samples, and dissolved them again. Although both were chemically identical, one sample consistently rotated polarized light clockwise, while the other did it counterclockwise.

Pasteur referred to chirality as dissymmetry at the time, and he speculated that this phenomenonconsistently found in organic compoundswas a prerequisite for the handed chemistry of life. He was right.

In 1904, scientist Lord Kelvin introduced the word chirality into chemistry, borrowing it from the Greek kher, or hand.

Chirality is an intrinsic property of nature, says Riina Aav, Professor at Tallinn University of Technology in Estonia. Molecules in our bodily receptors are chiral. This means that our organism reacts selectively to the spatial configuration of molecules it interacts with.

Understanding the difference between right-chiral and left-chiral objects is important for many scientific applications. Scientists use the property of chirality to produce safer pharmaceuticals, build biocompatible metallic nanomaterials, and send binary messages in quantum computing (a field called spintronics).

Physicists often talk about three mirror symmetries in nature: charge (which can be positive or negative), time (which can go forward or backward) and parity (which can be right- or left-handed).

Gravity, electromagnetism and the strong nuclear force are ambidextrous, treating particles equally regardless of their handedness. But, as physicist Chien-Shiung Wu experimentally proved in 1956, the weak nuclear force plays favorites.

For a completely unknown reason, the weak nuclear force only interacts with left-handed particles, says Marco Drewes, a professor at Catholic University of Louvain in Belgium. Why that might be is one of the big questions in physics.

Research groups are exploring the idea that such an asymmetry could have influenced the origin of the preferred handedness in biomolecules observed by Pasteur. There is a symmetry breaking that gives birth to a molecular arrangement, which eventually evolves until it forms DNA, right-handed sugars and left-handed amino acids, Rodrguez says.

From an evolutionary perspective, this would mean that chirality is a useful feature for living organisms, making it easier for proteins and nucleic acids to self-replicate due to the preferred handedness of their constituent biomolecules.

Every time an elementary particle is detected, an intrinsic property called its spin must be in one of two possible states. The spin of a right-chiral particle points along the particles direction of motion, while the spin of a left-chiral particle points opposite to the particles direction of motion.

A chiral twin has been found for every matter and antimatter particle in the Standard Modelwith the exception of neutrinos. Researchers have only ever observed left-handed neutrinos and right-handed antineutrinos. If no right-handed neutrinos exist, the fact that neutrinos have mass could indicate that they function as their own antiparticles. It could also mean that neutrinos get their mass in a different way from the other particles.

Maybe the neutrino masses come from a special Higgs boson that only talks to neutrinos, says, Andr de Gouva, a professor at Northwestern University. There are many other kinds of possible answers, but they all indicate that there are other particles out there.

The difference between left- and right-handed could have influenced another broken symmetry: the current predominance of matter over antimatter in our universe.

Right-handed neutrinos could be responsible for the fact that there is matter in the universe at all, Drewes says. It could be that they prefer to decay into matter over antimatter.

According to de Gouva, the main lesson that chirality teaches scientists is that we should always be prepared to be surprised. The big question is whether asymmetry is a property of our universe, or a property of the laws of nature, he says. We should always be willing to admit that our best ideas are wrong; nature does not do what we think is best.

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Nature through the looking glass | symmetry magazine - Symmetry magazine

OSFI’s Consultation on Technology: Understanding the risks inherent in the technologies that power the financial industry – Lexology

INTRODUCTION

On September 15, 2020, the Office of the Superintendent of Financial Institutions (OSFI) released a discussion paper regarding technology risks in the financial sector. The paper, Developing financial sector resilience in a digital world: Selected themes in technology and related risks, focuses on digital risks arising from cybersecurity, data analytics, third party ecosystems and data. Today, technology and data are central to the operations of federally regulated entities (FREs). In the paper, OSFI focuses on some of them including quantum computing, artificial intelligence, cloud computing, and data. OSFI poses questions in areas that it wishes to investigate further, potentially signaling OSFIs interest in collaborating with stakeholders to develop guidance that balances the safety and soundness of the Canadian financial sector against the needs of the sector to innovate.

The paper is something that should not be taken lightly or ignored. OSFI has requested stakeholder comments on the paper by December 15, 2020. These comments will likely form the basis for further consultations before OSFI tables any firm proposals. Any new guidance from OSFI purporting to regulate technology and related risks could therefore have wide ranging impacts on the financial sector, including in connection with the following:

Financial institutions have long been seen to be powered-by and dependent on a vast array of digital technologies. The ability of financial institutions to reliably deliver critical products and services during the COVID-19 pandemic is but one recent example of how financial institutions are successfully harnessing the power of digital technologies to deliver flexible, reliable and powerful products and services. With that said, this increasing reliance on digital technologies could trigger or amplify operational and financial risks to financial institutions. OSFI indicates that it is assessing the merits of a focus on operational resilience objectives with respect to technology and related risks and believes that a holistic view of operational risk management and operational resilience is warranted.

This consultation is a continuation of earlier work by OSFI to identify and mitigate risks presented from digital technologies, including:

PRIORITY TECHNOLOGY RISK AREAS IDENTIFIED BY OSFI

The discussion paper focuses on principles related to three priority areas: cyber security, advanced analytics and third party ecosystems. As data is foundational to each of these areas, the discussion paper also includes a separate discussion on data risk. OSFI intends on using these principles as a basis for building out more specific regulatory expectations in these areas going forward.

Cyber Security

The cyber security principle focuses on the confidentiality, integrity and availability of information. This builds on the existing work from OSFI related to cyber security, including the 2013 Cyber Security Self-Assessment Guidance, the 2019 advisory regarding cyber incident reporting and the ongoing circulation of Intelligence Bulletins and Technology Risk Bulletins that are intended to complement OSFIs guidelines and advisories. OSFI notes that it continues to observe gaps in many financial institutions cyber security policies, procedures and capabilities and many opportunities exist for improvement.

As part of this principle, OSFI flags two specific points of focus:

Advanced Analytics

OSFI notes that advanced analytics, and in particular the use of artificial intelligence (AI) and machine learning (ML) models, present a novel set of opportunities and risks. OSFI intends on using the stakeholder feedback received from this discussion paper to inform the development of regulatory and supervisory frameworks that address the risks resulting from the use of AI and ML. OSFI has identified soundness, explainability and accountability as being core principles to manage elevated risks associated with advanced analytics, including AI and ML. Through the consultation, OSFI seeks feedback on whether these three principles appropriately capture such elevated risks or whether there are any additional principles or risks that should be considered.

Third Party Ecosystems

OSFI has long sought to manage the risks presented by reliance by financial institutions on third party ecosystems, most notably though Guideline B-10. OSFI notes that while the existing principles in Guideline B-10 remain relevant, those guidelines and expectations require review. Areas of specific interest that are noted include:

OSFI will be undertaking a separate consultation process related to the expectations contained in Guideline B-10 which will be informed by the findings of this consultation.

Data

The overarching concept of data is the final area covered by the discussion paper, and in particular how to maintain sound data management and governance throughout the data lifecycle. The areas of focus highlighted are:

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OSFI's Consultation on Technology: Understanding the risks inherent in the technologies that power the financial industry - Lexology