Category Archives: Quantum Computing

The Linux Foundation has announced a new joint effort to help facilitate interoperability within the quantum computing ecosystem.

Dubbed Quantum Intermediate Representation (QIR), the alliance is part of the Linux Foundations efforts to promote the development and use of open standards.

The QIR Alliance will provide a single representation that can be used for both todays restricted capabilities and the more powerful systems of the future. This will allow the community to experiment with and develop optimizations and code transformations that work in a variety of use cases, remarked Bettina Heim, principal software engineering manager, Microsoft.

Along with the Linux Foundation, and Microsoft, QIR counts Honeywell, Oak Ridge National Laboratory, Quantum Circuits Inc., and Rigetti Computing, as its founding members.

Linux Foundation argues that new software development kits (SDKs) for quantum computing are constantly appearing, and so are new quantum processors with unique and distinct capabilities.

QIR is the intermediate representation (IR) that helps glue and bridge the gap between the two, and provide interoperability in order to reduce the development effort from the various members of the quantum computing ecosystem.

Technically, QIR is based on the popular open source LLVM compiler toolchain, and specifies a set of rules for representing quantum programs within the LLVM IR.

QIR will help developers write quantum optimizers using the standard LLVM infrastructure, and tailor it to target specific hardware backends, or even link it with classical high performance libraries for quantum simulation.

QIR's announcement didn't list any specific near-term deliverables, or immediate priorities.

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Linux Foundation launches quantum computing alliance to drive interoperability - TechRadar

As one of the most promising future technologies, quantum computing has an enormous innovation potential. The BMW Group will in the future support research into the future technology of quantum computing at the RWTH Aachen University, thus once again emphasising its leading role in the development of a quantum ecosystem.

Prof. Dr. Ulrich Rdiger, Rector of the RWTH Aachen University, Alexander Buresch, CIO of BMW AG, and Dr. Stefan Floeck, Executive Mentor of the Strategic Partnership of the BMW Group and RWTH Aachen University and Senior Vice President Product Line MINI and BMW Compact Class, have signed the contract for establishing the Quantum Information Systems endowed chair.

The BMW Group is providing 4.5 million over a period of six years for professorship, equipment, and employees at the RWTH Aachen University. A further 1.0 million will be paid into a networking fund that supports industrial research projects and ensures that the chair is integrated in the university environment and in the research centre Jlich. In the chair the use cases from the core business of the BMW Group with a potential quantum advantage are contemplated comprehensively in terms of industrialisation. The common higher-order objective of the RWTH Aachen University and the BMW Group is to close the gap between outstanding basic research in Germany and the applicability of quantum computing in industry.

Dr. Stefan Floeck:The BMW Group can look back on many years of strategic partnership with the RWTH Aachen University. The close cooperation between companies and universities is mutually beneficial we at the BMW Group are convinced of that. With its excellent networked ecosystem and technological focus, the RWTH Aachen University is the perfect home for the endowed chair, which will offer valuable insight into the industrialisation of quantum solutions.

Prof. Dr. Ulrich Rdiger:Quantum technology is one of the major topics of the future, with enormous innovation potential for our social progress. With this endowed professorship, we can intensify our research in this area. As RWTH Aachen University, we like working in networks. We are convinced that we achieve the best solutions for future topics through a continuous exchange of knowledge and technology with partners from science, industry and society.

Alexander Buresch:The endowed chair at the RWTH Aachen University is an important step towards the potential use of quantum computing at the BMW Group. It creates software and integration competencies that are necessary for the industrialisation of the quantum computing ecosystem. Together with the Quantum Algorithms and Applications endowed chair at the Technical University of Munich, which we announced in June this year, we hope to unlock potential within the automotive value chain based on an end-to-end approach.

Quantum computing utilises quantum mechanical effects to accelerate computing capacity. As one of the most promising technologies of the future, it has the potential to push the limits of what is possible to date and revolutionise fields of application from material research to automated driving. The technology environment in the field of quantum computing is still only in its beginnings. University collaborations thus offer great potential.

On 16 June of this year, the BMW Group, together with the Technical University of Munich (TUM), already announced the establishment of the Quantum Algorithms and Applications endowed chair. The BMW Group will provide 5.1 million over a period of six years for professorship, equipment, and employees at TUM. The chair addresses the development of algorithms related to use cases along the industrial value chain.

For the BMW Group, the Quantum Information Systems endowed chair at RWTH Aachen University is an important addition to the existing chair in Munich. It contemplates use cases from the BMW Groups core business comprehensively in terms of industrialisation. Software integration and industrialisation skills are being created to implement a quantum advantage in the medium term.

As one of the leading technical universities in Europe, the RWTH Aachen University has been a strategic partner of the BMW Group since 2017. The RWTH Innovation is responsible for the key account management of the cooperation as the universitys central, cross-university research and technology transfer unit. It supports the BMW Group in networking, initiating, and coordinating projects at the RWTH Aachen University. Dr. Stefan Floeck, Senior Vice President Product Line MINI and BMW Compact Class, was appointed Executive Mentor of the partnership and is thus the link between the BMW Group and the RWTH Aachen University. His role includes continuously developing the partnership and pressing ahead with the cooperation.

The scientists and also the young academics at the technical university are already cooperating closely with the development departments of the BMW Group. The BMW Group itself provides students with practical information on requirements from industry. This can also be seen in the research promotion project KIZAM (Artificial Intelligence in requirements management). Four institutes of RWTH Aachen University, four departments of the BMW Group and four other industrial partners are involved in research on how Artificial Intelligence can accelerate and improve product development. The first joint Technology Day was a highlight of the strategic partnership, which provided a platform for dialogue between science and business in June of this year.

SOURCE: BMW Group

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Shaping the future of quantum computing together: BMW Group and RWTH Aachen University sign contract for Quantum Information Systems endowed chair -...

Dublin, Dec. 01, 2021 (GLOBE NEWSWIRE) -- The "Quantum Computing Market Research Report by Technology, by Deployment, by Offering, by End-Use, by Application, by Region - Global Forecast to 2026 - Cumulative Impact of COVID-19" report has been added to ResearchAndMarkets.com's offering.

The Global Quantum Computing Market size was estimated at USD 421.48 million in 2020 and expected to reach USD 509.61 million in 2021, at a CAGR of 21.24% to reach USD 1,339.16 million by 2026.

Market Statistics:

The report provides market sizing and forecast across five major currencies - USD, EUR GBP, JPY, and AUD. It helps organization leaders make better decisions when currency exchange data is readily available. In this report, the years 2018 and 2019 are considered historical years, 2020 as the base year, 2021 as the estimated year, and years from 2022 to 2026 are considered the forecast period.

Market Segmentation & Coverage:

This research report categorizes the Quantum Computing to forecast the revenues and analyze the trends in each of the following sub-markets:

Competitive Strategic Window:

The Competitive Strategic Window analyses the competitive landscape in terms of markets, applications, and geographies to help the vendor define an alignment or fit between their capabilities and opportunities for future growth prospects. It describes the optimal or favorable fit for the vendors to adopt successive merger and acquisition strategies, geography expansion, research & development, and new product introduction strategies to execute further business expansion and growth during a forecast period.

FPNV Positioning Matrix:

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

Market Share Analysis:

The Market Share Analysis offers the analysis of vendors considering their contribution to the overall market. It provides the idea of its revenue generation into the overall market compared to other vendors in the space. It provides insights into how vendors are performing in terms of revenue generation and customer base compared to others. Knowing market share offers an idea of the size and competitiveness of the vendors for the base year. It reveals the market characteristics in terms of accumulation, fragmentation, dominance, and amalgamation traits.

Company Usability Profiles:

The report profoundly explores the recent significant developments by the leading vendors and innovation profiles in the Global Quantum Computing Market, including 1QB Information Technologies Inc., Amazon, Amgen Inc, Anyon Systems Inc, Cambridge Quantum Computing Ltd, D-Wave Systems, Google, Honeywell International, Intel, International Business Machines, IonQ Inc., Microsoft, QC Ware, Quantum Circuits, Rigetti Computing, and River Lane Research.

The report provides insights on the following pointers:1. Market Penetration: Provides comprehensive information on the market offered by the key players2. Market Development: Provides in-depth information about lucrative emerging markets and analyze penetration across mature segments of the markets3. Market Diversification: Provides detailed information about new product launches, untapped geographies, recent developments, and investments4. Competitive Assessment & Intelligence: Provides an exhaustive assessment of market shares, strategies, products, certification, regulatory approvals, patent landscape, and manufacturing capabilities of the leading players5. Product Development & Innovation: Provides intelligent insights on future technologies, R&D activities, and breakthrough product developments

The report answers questions such as:1. What is the market size and forecast of the Global Quantum Computing Market?2. What are the inhibiting factors and impact of COVID-19 shaping the Global Quantum Computing Market during the forecast period?3. Which are the products/segments/applications/areas to invest in over the forecast period in the Global Quantum Computing Market?4. What is the competitive strategic window for opportunities in the Global Quantum Computing Market?5. What are the technology trends and regulatory frameworks in the Global Quantum Computing Market?6. What is the market share of the leading vendors in the Global Quantum Computing Market?7. What modes and strategic moves are considered suitable for entering the Global Quantum Computing Market?

Key Topics Covered:

1. Preface

2. Research Methodology

3. Executive Summary

4. Market Overview

5. Market Insights5.1. Market Dynamics5.1.1. Drivers5.1.1.1. Growing demand for faster data operations, secure data transfer, and communications5.1.1.2. Early adoption of quantum computing in banking and finance industry5.1.1.3. Rise in investments in quantum computing technology5.1.2. Restraints5.1.2.1. Accuracy and fault tolerance to ensure the reliability5.1.3. Opportunities5.1.3.1. Market instabilities detected by identifying stock market risks and optimize the trading trajectories, portfolios, and asset pricing and hedging5.1.3.2. Surge in number of strategic partnerships and collaborations to carry out advancements in quantum computing technology5.1.4. Challenges5.1.4.1. Extremely costly process5.2. Cumulative Impact of COVID-19

6. Quantum Computing Market, by Technology6.1. Introduction6.2. Quantum Annealing6.3. Superconducting Qubits6.4. Topological and Photonic6.5. Trapped Ions

7. Quantum Computing Market, by Deployment7.1. Introduction7.2. Cloud-Based7.3. On Premise

8. Quantum Computing Market, by Offering8.1. Introduction8.2. Consulting8.3. Quantum Computing as a Service (QCaaS)8.4. Services8.5. Systems

9. Quantum Computing Market, by End-Use9.1. Introduction9.2. Banking & Finance9.3. Banking and Finance9.4. Chemicals9.5. Energy and Power9.6. Healthcare and Pharmaceuticals9.7. Space and Defense

10. Quantum Computing Market, by Application10.1. Introduction10.2. Machine Learning10.3. Optimization10.4. Quantum Chemistry10.5. Quantum Finance10.6. Simulation

11. Americas Quantum Computing Market11.1. Introduction11.2. Argentina11.3. Brazil11.4. Canada11.5. Mexico11.6. United States

12. Asia-Pacific Quantum Computing Market12.1. Introduction12.2. Australia12.3. China12.4. India12.5. Indonesia12.6. Japan12.7. Malaysia12.8. Philippines12.9. Singapore12.10. South Korea12.11. Taiwan12.12. Thailand

13. Europe, Middle East & Africa Quantum Computing Market13.1. Introduction13.2. France13.3. Germany13.4. Italy13.5. Netherlands13.6. Qatar13.7. Russia13.8. Saudi Arabia13.9. South Africa13.10. Spain13.11. United Arab Emirates13.12. United Kingdom

14. Competitive Landscape14.1. FPNV Positioning Matrix14.1.1. Quadrants14.1.2. Business Strategy14.1.3. Product Satisfaction14.2. Market Ranking Analysis14.3. Market Share Analysis, By Key Player14.4. Competitive Scenario14.4.1. Merger & Acquisition14.4.2. Agreement, Collaboration, & Partnership14.4.3. New Product Launch & Enhancement14.4.4. Investment & Funding14.4.5. Award, Recognition, & Expansion

15. Company Usability Profiles15.1. 1QB Information Technologies Inc.15.2. Amazon15.3. Amgen Inc15.4. Anyon Systems Inc15.5. Cambridge Quantum Computing Ltd15.6. D-Wave Systems15.7. Google15.8. Honeywell International15.9. Intel15.10. International Business Machines15.11. IonQ Inc.15.12. Microsoft15.13. QC Ware15.14. Quantum Circuits15.15. Rigetti Computing15.16. River Lane Research

16. Appendix

For more information about this report visit https://www.researchandmarkets.com/r/1jbcfw

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Insights on the Quantum Computing Global Market to 2026 - - GlobeNewswire

The AWS re:Invent 2021 event is scheduled between November 29 and December 3, 2021. This is one of the most anticipated events of the year. AWS has truly emerged as a cash cow for Amazon. It is a $64 billion revenue run rate business that sees a 39 per cent year-on-year growth. AWS growth rate had accelerated from 29 per cent in 2020. Its sustained financial strength and continued growth of the cloud hyperscale market on the whole has allowed parent company Amazon to exert influence in building new business and disrupting markets.

Considering these factors, it is no doubt that AWS event is one of the most anticipated events of the year. Based on the announcement, and trends in the cloud industry, among other factors, we predict what will happen at the event.

In the previous year, AWS made three major announcements for EBS, the block-storage service to be used with EC2. Further, AWS also announced major improvements to S3, including the inclusion of strong read-after-write consistency for all major applications, replication with multiple destination buckets, and new bucket keys.

This year also, one can expect major updates and launches in this space. Notably, in October, AWS released a research paper about the operations of S3. In the paper titled Using Lightweight Formal Methods to Validate a Key-Value Storage Node in Amazon S3, AWS also spoke about implementing ShardStore, which is a new key-value storage node implementation for S3 cloud object storage devices.

At the AWS re:Invent 2020 event, machine learning became a major theme. In particular, AWS vice president for AI and machine learning Swami Sivasubramanian focused his keynote around SageMaker, introducing the new Feature Store a fully managed, purpose-built repository for storing and updating, retrieving and sharing ML features. Services like SageMaker Clarify, SageMaker Debugger and SageMaker Model Parallelism were also introduced.

In the past few months, AWS has introduced many new features for SageMaker. In August, Amazon announced that users will now be able to deploy ML model packages and Edge Manager agent to edge devices easily. It has been made possible by making SageMaker Edge Manager integrable with AWS IoT Greengrass. Before this, the Edge Manager agent was deployable to devices by manually copying the Edge Manager.

As companies race towards offering advanced solutions that are optimised and accelerated for AI applications, AWS jumped the bandwagon and introduced a new competitor to the landscape. It announced cloud instances powered by Intel-owned Habanas Gaudi AI processors. It is the first AI training instance provided by AWS that is not GPU-based. More details/updates may be provided in a similar direction at the AWS re:Invent 2021 event.

Before that, AWS also added SageMaker Clarify, an Amazon tool to detect algorithmic bias and to increase ML model transparency. As awareness about Responsible AI grows in the industry, AWS may announce more such features in the upcoming event.

As per the latest development from AWS, customers can now create IPv6-only virtual private cloud networks. The company claims that it is a monumental step towards enabling IPv6 on its cloud. The new feature will allow admins to create an IPv6-only subnet with dual-stack VPC. According to AWS, each subnet has a /64 Classless Inter-Domain Routing range, offering approximately ten quintillion IP addresses for applications.

Quantum computing has become a major technology theme in recent years. AWS is not far behind to leverage it either. In October, AWS quantum computing research unit moved to the California Institute of Technology (Caltech). The new facility will work to build a fault-tolerant quantum computer. In the past, too, AWS has published research papers in this field. The new centre will develop and test new quantum processors and also work on technologies like cryogenic cooling systems and other supporting technologies.

We spoke to a few experts in the field to understand their expectations from the event.

The pandemic has made digital transformation move at a MACH speed (Microservices, API, Cloud, Hybrid). We expect AWS to keep the focus on these topics and, at the same time, update the security and audit tools. AWS has a lot of tools in its arsenal, and we expect more business process automation (like RPA) from them. DevOps will always take centre stage, and this time we would expect updates to their SageMaker ML platform. It is great that AWS re:Invent has added online events so this is one thing in Vegas that wont stay just in Vegas, said Kanchan Ray, CTO, Nagarro.

Quite honestly, I dont expect a lot from re:Invent 2021. The entire global cloud play doesnt really keep in mind the Indian requirement of the cloud for a large scale of individual MSME needs. A country as native as India in terms of its need of cloud solutions (online storage) needs a completely customised solution & year after year, we havent really found one, said Arnab Mitra, CEO, Digiboxx.

We would be keen to know more from AWS and how it can help startups like us in working and scaling towards creating the metaverse. We envision such partnerships as a game-changer for organisations like us. For the past couple of years, we at XR Central have been working towards democratising how metaverses have been looked at. Such an infrastructure service will enable us to accelerate the process and bring metaverses to the masses. We dream of everyone having their connected metaverse, said Shrey Mishra, Co-Founder, XR Central.

On a lighter note:

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What To Expect From AWS re:Invent 2021 Event? - Analytics India Magazine

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The Air & Space Brief: 'Juicy' targets; Quantum threat; North Korea space conference; and more... - Defense One

One of our ages major achievements in healthcare. Medical research has advanced rapidly, extending life expectancy around the world. However, as people live longer, healthcare systems face increased demand, rising expenses, and a staff that is straining to meet the needs of the patient.

Population aging, changing patients needs, a change in life choices, and the never-ending loop of innovation are just a few of the relentless forces driving demand. The consequences of an aging population stand out among these. Healthcare is one of our generations main achievements. Medical research has progressed at a breakneck pace, extending life expectancy all around the world.

When you use the classic computing method, your machine doubles in size every time the number of data doubles. Processing the vast amounts of data necessary in many areas, such as healthcare, manufacturing, big data, and financial services, is difficult and time-consuming as a result.

Quantum computing doubles the computers potentiality with each additional cubit rather than increasing the programs size. Without growing the footprint, computers can process progressively massive amounts of data in near real-time. Quantum computing is already being used in a variety of businesses with vast volumes of data to swiftly solve previously intractable tasks.

Quantum computings advantages are already being observed in healthcare, particularly in personalized medicine, where researchers and healthcare providers are working to forecast health risks and find the best therapy for groups of people who share certain features. Personalized medicine, in comparison to conventional medicine, is patient-centered care that analyses a patients genetic profile to identify health risks and provide therapies that are tailored to their specific needs.

Specialists in the burgeoning sector are increasingly depending on quantum computers unique capacity to tackle complicated data managerial challenges with high speed in order to effectively process enormous amounts of health data from millions of disparate data points. This is in favor of customized medicines development and its favorable impact on healthcare systems.

Researchers discussed their efforts to develop policies that address critical concerns about emerging technologies, highlighting the distinctions between capacity-building basic open basic and applied competitive study with direct state defense and commercial ramifications.

Foster discussed impending legislation that will expand the National Quantum Initiative by assisting in the creation of a larger pool of workers with the highly specialized skills required. The money will be used to boost military training as well as quantum-related college programs. The goal is to strengthen the Department of Defenses quantum staff, which will aid in the attempt to harness quantums power and speed to solve the most difficult problems.

Dr. Paul Lopata, Ph.D., Principal Head for Quantum Science, shared his thoughts on what businesses should be doing now to set themselves up for future quantum success. He emphasized that high-performance computing is made up of supercomputers, application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), and GPUs, rather than a single technique.

According to Lopata, businesses should think about the long game with quantum computing and begin thinking about the future now. In quantum computing, he revealed his 3 phases to long-term thinking:

1. Adhere to the values of your company

2. Develop your own specialty

3. Collaborate with organizations that share your values.

Quantum computing can be one of several game-changing technologies that help us improve our ability to assure healthy lives and encourage well-being for people of all ages, as well as help us build a more long-term sustainable society. Quantum computing combined with artificial intelligence allows us to address some of todays most pressing concerns while also creating re-creatable and scalable technology foundations and procedures as we strive toward global healthcare for all.

The applications that have an impact on care delivery, such as how existing tasks are completed and how they are disturbed by changing healthcare requirements or the processes necessary to fulfill them. From day-to-day operational improvement in clinical organizations to population-health management and the realm of healthcare technology, applications that support and develop healthcare delivery. Its a broad term that encompasses natural language processing (NLP), image processing, and machine learning-based predictive analytics.

While there are many issues about what is actually in AI in healthcare nowadays, this paper examined 23 applications currently in use and presents case studies for 14 of them. These examples show how AI can impact a wide range of domains, from applications that help patients control their own treatment to online symptom detectors and e-triage AI systems, virtual assistants that can perform duties in hospitals, and bionic pancreas to assist diabetic patients.

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Role of Quantum Computing and AI in Healthcare Industry - Analytics Insight

B

lockchain has rapidly become one of the most disruptive technologies of the 21st century, but with the continuous improvements in quantum computing, the foundations of the technology are starting to falter.

Blockchain, cryptocurrencies, NFTs and decentralised finance have become common terms, with blockchain now hailed as an extremely secure and much faster method of recording transactions due to the computational intensity of attempting to break it. Both companies and people have poured endless amounts of capital into the technology by buying cryptocurrencies or by developing their own currency or asset chains.

But in a dynamic cyber environment, is this $2.7 trillion dollar market really future-proof and secure?

With every innovation in quantum computing, the threat to blockchain increases.

There are two main issues that face the technology, the first being its reliance on a form of encryption known as public key cryptography; and second, its reliance on a type of algorithm called a hash function.

Public key cryptography is a method of encryption that publishes a key for the world to use so that they can encrypt information that only the holder of the private key can see.

A hash is generated by running a widely known and well-established algorithm on a piece of information to create a near unique digital representation of it. It is computationally impossible to construct the original information from a hashed representation, and they are said to be resistant to finding another piece of data that has the exact same digital representation. In both proof-of-work and proof-of-stake blockchains, digitally signed hashes are used in combination with random numbers to sign off a block.

The threat from quantum computing to public key encryption is a known issue and has been discussed at length by many experienced professionals. It is an issue that both governments and commercial entities have recognised. NIST, the US National Institute of Standards and Technology, is currently in the process of defining what the next phase of encryption (also known as post-quantum encryption) will be. Many experts will highlight that the types of quantum computers that are capable of cracking this are still far away, which is true, but various competing technologies alongside quantum are bringing this to the forefront of the cybersecurity threat vector.

Therefore, one can see that the main near-term issue facing the chain comes from the threat to the hashing algorithm from quantum computing or quantum accelerated hardware. There are a few issues with the hash-method, however, the main issue facing these chains is that a quantum computer will be able to solve for these hashes at a much faster rate than any computational-based approach, thereby taking ownership of a network. Significant progress has been made in the past two years on a type of quantum algorithm called Grovers algorithm, which poses the greatest risk to the network as a fully well error-corrected quantum computer is not needed.

Evaluating and understanding the risk only gets us part way, says David Worrall, co-founder of Secqai. It is now time to implement the solutions available to prepare us for the future.

This risk is further accentuated due to the decentralised nature of blockchain, where the latest cyber technology hasnt been built to integrate easily with, for example, new hardware based cryptography such as secure entropy sources or quantum random number generators.

Indeed, research has shown that the deployment of post quantum safe algorithms in todays blockchain architectures is not possible without a huge increase in transaction costs sometimes outweighing the value of the transaction.

Conversely, traditional banking infrastructure is relatively easy to update as the back-end software and hardware is managed centrally by each bank and each integrated party, i.e. the list of parties that need to be secure is well known.

Blockchain developers understand the challenge today, and as has been shown need to start the work of preparing their systems by integrating post-quantum methods into their infrastructure and adopt best practice techniques to ensure that they are prepared for a quantum world.

Rahul Tyagi is an ex-management consultant, inventor and co-founder of cyber security start-up Secqai

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Why Blockchain isnt as secure as you think - Evening Standard

Engage 2021, Princetons second annual innovation and entrepreneurship conference, will be held online Dec. 1 and 2, offering opportunities to learn about the transformation of discoveries into innovations that benefit society from biomedicine and clean energy to wireless, cryptocurrency and quantum computing.

The two-day virtual gathering, hosted by Princeton Innovation, will include tips and case studies on successful new technologies and academic-industry partnerships, as well as guidance on funding opportunities for research and entrepreneurship, with a special focus on the growing innovation ecosystem in New Jersey and the tri-state area.

Faculty, researchers, students and alumni from Princeton and other institutions, entrepreneurs and those entrepreneurially-minded, industry representatives and government policymakers, are invited to register for the conference, which which is free and open to everyone,

By bringing people together from across the regional and global innovation ecosystems, Princeton is helping to grow a robust and inclusive environment that brings positive impacts to the broader community, the economy, and to daily life, said Vice Dean for Innovation Rodney Priestley, the Pomeroy and Betty Perry Smith Professor of Chemical and Biological Engineering.

Priestley leads Princeton Innovation, a University initiative that supports faculty, students and researchers as they transform discoveries emerging from science, engineering, social sciences and humanities into ventures and activities that can create a positive impact on society. Priestley will kick off Engage 2021 with updates on the initiative, which is part of Princetons Office of the Dean for Research.

Marian Croak, Class of 1977 and vice president of engineering at Google

Headlining the conference will be Marian Croak, Class of 1977 and vice president of engineering at Google, in a conversation with chair of computer science Jennifer Rexford about the contributions of women in STEM fields, the importance of mentorship, and being an intrapreneur andinnovator at a large company. This year, Croak became one of the first two Black women inducted into the National Inventors Hall of Fame, in recognition of her work on advancing Voice over Internet Protocol (VoIP) technologies, a key development in audio and video conferencing.

Another keynote session will feature a conversation between Andrea Goldsmith, dean of Princetons School of Engineering and Applied Science, and Naveen Verma, director of the Keller Center for Innovation in Engineering Education. They will discuss developments and opportunities for innovation in the New Jersey region, and connections between entrepreneurship, research and teaching at Princeton.

This conference will help enable all of us seeking to make a positive difference engineers, scientists, humanists, social scientists, business leaders and startup enablers to engage with each other in fostering innovation that strengthens society, said Goldsmith, the Arthur LeGrand Doty Professor of Electrical and Computer Engineering, who has founded two companies around her expertise in wireless technology.

As part of the conference, the 13th annual Celebrate Princeton Innovation showcase will honor Princeton faculty-led discoveries in life sciences and technology that have the potential to become everyday innovations.

The showcase features 10 Princeton faculty experts discussing their discoveries on topics including a new technology to prevent smartphone theft, new anticancer therapeutic strategies, early detection of autism and other neurobehavioral conditions, clean and inexpensive lithium-ion battery recycling, electric bandages, and more. The keynote address will feature blockchain-technology startup Offchain Labs cofounder Edward Felten, the Robert E. Kahn Professor of Computer Science and Public Affairs, Emeritus.

Mohammad Seyedsayamdost, professor of chemistry, has been selected to receive Princetons second annual prize for innovative faculty, the Dean for Research Award for Distinguished Innovation, for the creation of a method for discovering new anti-infective agents, including drugs that treat bacterial, viral and fungal infections. Seyedsayamdost, who has cofounded the startup Cryptyx Bioscience, will receive the award and give a talk about his technology.

Engage 2021 will also feature a New Jersey startup showcase of academic scientists and engineers raising venture funds for companies based on their research, including Marcus Hultmark, an associate professor of mechanical and aerospace engineering at Princeton. Hultmark and his team recently received an Edison Patent Award from the Research and Development Council of New Jersey for their low-cost, nanotechnology-based industrial velocity sensors.

Hultmarks company, Tendo Technologies, was launched in 2018 with support from the National Science Foundation Innovation Corps (I-Corps) program and the eLab Summer Accelerator at Princetons Keller Center. Princeton is now the leading institution of the I-Corps Northeast Hub, which was announced earlier this year with a $15 million grant to accelerate the impact of federally funded research and advance diversity in entrepreneurship. I-Corps Northeast Hub leaders from Rutgers, Rowan and Drexel Universities will discuss the hubs activities and opportunities in a panel discussion.

Another panel discussion will cover the benefits of joining a startup accelerator, and how to choose the right accelerator and create a strong application. Representatives from the accelerators QED, VentureWell and FedTech will join the conversation, as will Garrett Winther of the HAX accelerator. HAX recently announced it would establish its U.S. headquarters in Newark, New Jersey, after a persuasive State of New Jersey pitch supported by Princeton Engineering dean Goldsmith on behalf of Princeton. HAX aims to invest $25 million in 100 new technology companies over the next five years with a focus on re-industrialization and decarbonization of the U.S.

Engage 2021 sessions will feature many Princeton science and engineering faculty members, along with panelists from industry and other universities, discussing emerging technologies in decarbonized transportation, cancer research, quantum computing, wireless communications, and artificial intelligence in bioengineering.

Our vision is for Princeton to be a catalyst for a diverse, inclusive and human-centered high-tech hub for the entire tri-state region, said Goldsmith. We have much exciting progress, but we need to keep building partnerships. I encourage anyone with a passion for building new ventures and harnessing technology for the good of humanity to join us.

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Tech pioneers to headline Princeton conference on innovation and entrepreneurship - Princeton University

Towards the end of 2019, I was finishing a book, AI Concepts for Business Applications. The last chapter was titled, The Future. I wrote about quantum computing and a version of deep learning that was related: a quantum walk neural network.

In 1980, the idea of a quantum processing unit was proposed. Such a processing unit doesnt use the 1s and 0s with which were familiar. That classical way of thinking is the way we think, with a 1 for true and a 0 for false, and combinationsfor example, a false positive. Quantum computing is based on a superposition of states called quantum bits or qubits for short. But theres a big difference between the way we think and the way nature behaves.

In 1981, the late Caltech professor, Richard Feynman (a Nobel Prize co-winner for his work with quantum electrodynamics) summed it up: Nature isnt classical, dammit, and if you want to make a simulation of nature, youd better make it quantum mechanical, and by golly its a wonderful problem, because it doesnt look so easy.

Now, quantum computing is beginning to emerge. It started with hardware:

In their Abstract, they wrote, A QWNN learns a quantum walk on a graph to construct a diffusion operator which can be applied to a signal on a graph. We demonstrate the use of the network for prediction tasks for graph structured signals.

Note the phrase prediction tasks. Thats what deep learning known for being able to do, that is, once trained with labeled data, a model for the label (or category or classification) is able to identify images or text from a blizzard of input the models never seen before, and yet find the needles that match to the model. Such models have become known as prediction machines.

A fundamental challenge is to build a high-fidelity processor capable of running quantum algorithms in an exponentially large computational space. Here we report the use of a processor with programmable superconducting qubits2,3,4,5,6,7 to create quantum states on 53 qubits, corresponding to a computational state-space of dimension 253 (about 1016). Measurements from repeated experiments sample the resulting probability distribution, which we verify using classical simulations. Our Sycamore processor takes about 200 seconds to sample one instance of a quantum circuit a million timesour benchmarks currently indicate that the equivalent task for a state-of-the-art classical supercomputer would take approximately 10,000 years. (Boldface added.)

From this much, you may gather that the field of quantum computing had finally made it to the launch pad of an emerging technology.

With that history, lets switch to patents. Ive previously presented bar graphs for two emerging technologies: deep learning and blockchain. These graphs are based entirely on searching the U.S. Patent and Trademark Offices (USPTOs) patent database.

As before, I searched for a key word or phrase in the Claims field of the USPTO database. For the annual data, I searched the USPTO for quantum computing in the Claims and for the Issue Date on an annual basis. The bar graph for quantum computing is surprisingly similar to the bar graphs for deep learning and blockchain.

THE QUANTUM COMPUTING PATENT LAND RUSH

The total on November 16, 2021 was 322. Keep in mind that the 2021 total is for a partial year as of November 16. Since there are six more Tuesdays in 2021 (when new patents are announced), Ill predict a year-end for 2021 of 150 or more.

If you compare this bar graph to the graphs for deep learning and blockchain, the conclusion is readily apparent. We are living in a time when deep learning, blockchain and quantum computing are rapidly emerging, and almost simultaneously. Wonders we cannot now foresee will come from these advances.

If readers know of yet another candidate for an emerging technology, please let me know in the comments below.

Nick Brestoff is an attorney with two engineering degreesa B.S. in Engineering Systems from UCLA and an M.S. in Environmental Engineering Science from the California Institute of Technology. He practiced law in California from 1975 - 2014 as a litigation specialist representing plaintiffs and defendants in both federal and state court. During the last 18 months of his career, he was of counsel to Cotman IP, a patent law firm in Pasadena, CA. He is also an inventor named on eight U.S. patents, as well as Founder of Intraspexion, a Delaware LLC that owns patented software to implement "deep learning" in the context of "threats or risks of interest" to avoid.

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Quantum Computing Takes Off: A Look at the Evolution of Quantum Technology and Patents - IPWatchdog.com

Don Kahle| Register-Guard

The challenges and opportunities ahead as computers become ever more powerful are coming more clearly into view. Count me among those who are not surprised at how well novelist and humorist Douglas Adams anticipated them. Artists and comics often speak the truth before anyone else.

The bandwagon is getting fuller by the day. Former Google CEO Eric Schmidt has partnered with Henry Kissinger to author a book about the challenges. Kissinger is 98 years old. Hes strategizing the coming clash with artificial intelligence as if it will be the last war any of us will ever wage.

He might be right.

Ive written almost every year about how we are leaving behind the Age of Enlightenment, without any confidence about what will replace it. Kissinger, Schmidt, Elon Musk and others are warning us that AI will sneak up on us if were not careful, rewriting the rules for civilization without our consent.

I hope the next epoch is organized around empathy, a decidedly human trait thats beyond the ken of calculations. As futurists become realists, its beginning to look like emergent properties may be the frontier were entering. Its very like what Adams anticipated in his Hitchhikers Guide to the Galaxy in 1978.

Leave aside artificial intelligence for a moment. Consider the consequences of quantum computing. IBM announced this week it has built a quantum computer that couldnt be matched with a conventional computer unless that computer was larger than our planet.

Although Adams anticipated that factoid quite accurately, its not the interesting part. According to IBM CEO Arvind Krishna, this super-duper-computer is not adept at computations in the traditional sense. That would be too easy. This quantum computer wont calculate as much as ruminate.

Weve used computers to solve problems but not to wonder how a problem could be solved. Big difference!

To review, Adamss characters asked the most powerful computer to give them the answer to life, the universe, and everything. The answer was 42. Understanding the question was exponentially more complicated, keeping his characters busy for three more volumes.

Kissinger and Schmidt posit that computers soon will give us answers before we understand the questions. Alexander Fleming discovered penicillin before anyone understood how microbes and cells operate inside the human body. We learned what works before we learned why.

With that in mind, mysteries abound. How do starlings execute their mesmerizing murmurations, flying like a three-dimensional marching band producing an amazing halftime show, but without a conductor? How can humans reverse or adapt to global warming? And everything in between.

Finding answers to unimaginably complex problems will be the easy part. Thoroughly understanding the questions being posed will be new. If quantum computing fulfills its promise, we may soon send it searching for the emergent properties behind self-organizing cities, coordinated starling flight patterns, and human consciousness.

Each is beyond the scope of calculations. The resultsemerge as if by magic. The whole is literally greater than the sum of its (calculated) parts. We may soon be envisioning the most hopeful future for our planet since 1650 and terrifyingly so.

Don Kahle (fridays@dksez.com) writes a column each Friday for The Register-Guard and archives past columns atwww.dksez.com.

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Don Kahle: Quantum quandaries are emerging - The Register-Guard