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The Cio's Guide to Quantum Computing
THE CIO’S GUIDE TO QUANTUM COMPUTING November 2020 COPYRIGHT ©2020 CBS INTERACTIVE INC. ALL RIGHTS RESERVED. THE CIO’S GUIDE TO QUANTUM COMPUTING TABLE OF CONTENTS 3 Introduction 3 Quantum computers are coming. Get ready for them to change everything 10 Research: Quantum computing will impact the enterprise, despite being misunderstood 12 What is quantum computing? Understanding the how, why and when of quantum computers 23 Quantum computing has arrived, but we still don’t really know what to do with it 26 CIO Jury: How quantum computing will affect the enterprise 28 Quantum computing: Five ways you can get involved 31 Quantum computers could soon reveal all of our secrets. The race is on to stop that happening 36 8 companies leading in quantum computing endeavors in 2020 41 What classic software developers need to know about quantum computing 50 Quantum computing meets cloud computing: D-Wave says its 5,000-qubit system is ready for business 2 COPYRIGHT ©2020 CBS INTERACTIVE INC. ALL RIGHTS RESERVED. THE CIO’S GUIDE TO QUANTUM COMPUTING INTRODUCTION Quantum computers offer great promise for cryptography and optimization problems, and companies like IBM, Google, and D-Wave are racing to make them practical for business use. This special feature from TechRepublic and ZDNet explores what quantum computers will and won’t be able to do and the challenges we still face. QUANTUM COMPUTERS ARE COMING. GET READY FOR THEM TO CHANGE EVERYTHING Quantum computers are not yet creating business value, but CIOs should nonetheless lose no time in getting involved. BY DAPHNE LEPRINCE-RINGUET/ZDNET Supermarket aisles filled with fresh produce are probably not where you would expect to discover some of the first benefits of quantum computing. -
Quantum Computing
QUANTUM COMPUTING U N D E R S T A N D I N G Q U A N T U M C O M P U T I N G T O P R E P A R E F O R T H E U N E X P E C T E D Y R 0 A 2 U R 0 B E 2 F FEBRUARY 2020 Quantum Computing Understanding quantum computing to prepare for the unexpected Intellectual copyright All Cigref publications are made freely available to the general public but remain protected by the applicable laws on intellectual property. QUANTUM COMPUTING Editorial Just a few years ago, quantum computing was a utopian dream. Today, however, it is beginning to take root in people's minds. It promises to replace the law of Gordon Moore, a cofounder of Intel who predicted that computing capacity would double every year...up to the physical limit of the atom. Atoms are the starting point of quantum computing, which uses nanometric (10-9) resources to solve problems that current computers cannot tackle. The fields of application for quantum computing range from encryption, metrology, optimisation, simulation, data analysis and artificial intelligence, using a future 'universal quantum computer'. Led by several key players like Google, IBM, Microsoft and Atos, the emerging quantum computing ecosystem also includes many start-ups (primarily in North America but in France as well) and is growing. While companies are currently undergoing profound transformations to prepare for and adapt to unexpected technological developments, they cannot ignore the quantum revolution that will undoubtedly shake up IT: first sequential, then parallel, computing will become 'co-occurrent'1 and impact programming, algorithms, applications and computer security, resulting in new use cases. -
Quantum in the Cloud: Application Potentials and Research Opportunities
Quantum in the Cloud: Application Potentials and Research Opportunities Frank Leymann a, Johanna Barzen b, Michael Falkenthal c, Daniel Vietz d, Benjamin Weder e and Karoline Wild f Institute of Architecture of Application Systems, University of Stuttgart, Universitätsstr. 38, Stuttgart, Germany Keywords: Cloud Computing, Quantum Computing, Hybrid Applications. Abstract: Quantum computers are becoming real, and they have the inherent potential to significantly impact many application domains. We sketch the basics about programming quantum computers, showing that quantum programs are typically hybrid consisting of a mixture of classical parts and quantum parts. With the advent of quantum computers in the cloud, the cloud is a fine environment for performing quantum programs. The tool chain available for creating and running such programs is sketched. As an exemplary problem we discuss efforts to implement quantum programs that are hardware independent. A use case from machine learning is outlined. Finally, a collaborative platform for solving problems with quantum computers that is currently under construction is presented. 1 INTRODUCTION Because of this, the overall algorithms are often hybrid. They perform parts on a quantum computer, Quantum computing advanced up to a state that urges other parts on a classical computer. Each part attention to the software community: problems that performed on a quantum computer is fast enough to are hard to solve based on classical (hardware and produce reliable results. The parts executed on a software) technology become tractable in the next classical computer analyze the results, compute new couple of years (National Academies, 2019). parameters for the quantum parts, and pass them on Quantum computers are offered for commercial use to a quantum part. -
The Evolution of Ibm Research Looking Back at 50 Years of Scientific Achievements and Innovations
FEATURES THE EVOLUTION OF IBM RESEARCH LOOKING BACK AT 50 YEARS OF SCIENTIFIC ACHIEVEMENTS AND INNOVATIONS l Chris Sciacca and Christophe Rossel – IBM Research – Zurich, Switzerland – DOI: 10.1051/epn/2014201 By the mid-1950s IBM had established laboratories in New York City and in San Jose, California, with San Jose being the first one apart from headquarters. This provided considerable freedom to the scientists and with its success IBM executives gained the confidence they needed to look beyond the United States for a third lab. The choice wasn’t easy, but Switzerland was eventually selected based on the same blend of talent, skills and academia that IBM uses today — most recently for its decision to open new labs in Ireland, Brazil and Australia. 16 EPN 45/2 Article available at http://www.europhysicsnews.org or http://dx.doi.org/10.1051/epn/2014201 THE evolution OF IBM RESEARCH FEATURES he Computing-Tabulating-Recording Com- sorting and disseminating information was going to pany (C-T-R), the precursor to IBM, was be a big business, requiring investment in research founded on 16 June 1911. It was initially a and development. Tmerger of three manufacturing businesses, He began hiring the country’s top engineers, led which were eventually molded into the $100 billion in- by one of world’s most prolific inventors at the time: novator in technology, science, management and culture James Wares Bryce. Bryce was given the task to in- known as IBM. vent and build the best tabulating, sorting and key- With the success of C-T-R after World War I came punch machines. -
IBM Research AI Residency Program
IBM Research AI Residency Program The IBM Research™ AI Residency Program is a 13-month program Topics of focus include: that provides opportunity for scientists, engineers, domain experts – Trust in AI (Causal modeling, fairness, explainability, and entrepreneurs to conduct innovative research and development robustness, transparency, AI ethics) on important and emerging topics in Artificial Intelligence (AI). The program aims at creating and investigating novel approaches – Natural Language Processing and Understanding in AI that progress capabilities towards significant technical (Question and answering, reading comprehension, and real-world challenges. AI Residents work closely with IBM language embeddings, dialog, multi-lingual NLP) Research scientists and are expected to fully complete a project – Knowledge and Reasoning (Knowledge/graph embeddings, within the 13-month residency. The results of the project may neuro-symbolic reasoning) include publications in top AI conferences and journals, development of prototypes demonstrating important new AI functionality – AI Automation, Scaling, and Management (Automated data and fielding of working AI systems. science, neural architecture search, AutoML, transfer learning, few-shot/one-shot/meta learning, active learning, AI planning, As part of the selection process, candidates must submit parallel and distributed learning) a 500-word statement of research interest and goals. – AI and Software Engineering (Big code analysis and understanding, software life cycle including modernize, build, debug, test and manage, software synthesis including refactoring and automated programming) – Human-Centered AI (HCI of AI, human-AI collaboration, AI interaction models and modalities, conversational AI, novel AI experiences, visual AI and data visualization) Deadline to apply: January 31, 2021 Earliest start date: June 1, 2021 Duration: 13 months Locations: IBM Thomas J. -
Treatment and Differential Diagnosis Insights for the Physician's
Treatment and differential diagnosis insights for the physician’s consideration in the moments that matter most The role of medical imaging in global health systems is literally fundamental. Like labs, medical images are used at one point or another in almost every high cost, high value episode of care. Echocardiograms, CT scans, mammograms, and x-rays, for example, “atlas” the body and help chart a course forward for a patient’s care team. Imaging precision has improved as a result of technological advancements and breakthroughs in related medical research. Those advancements also bring with them exponential growth in medical imaging data. The capabilities referenced throughout this document are in the research and development phase and are not available for any use, commercial or non-commercial. Any statements and claims related to the capabilities referenced are aspirational only. There were roughly 800 million multi-slice exams performed in the United States in 2015 alone. Those studies generated approximately 60 billion medical images. At those volumes, each of the roughly 31,000 radiologists in the U.S. would have to view an image every two seconds of every working day for an entire year in order to extract potentially life-saving information from a handful of images hidden in a sea of data. 31K 800MM 60B radiologists exams medical images What’s worse, medical images remain largely disconnected from the rest of the relevant data (lab results, patient-similar cases, medical research) inside medical records (and beyond them), making it difficult for physicians to place medical imaging in the context of patient histories that may unlock clues to previously unconsidered treatment pathways. -
The 449Th International Symposium on Therapy
ISSN0535-1405 No. 506 July 31, 2021 Published by International Medical Society of Japan, Chairman, Board of Directors: Kenichi Ishibashi, MD, PhD Editors: K. Ito, MD, PhD, T. Kondo, MD, PhD, K. Ichihashi, MD, PhD, T. Murakami, PhD, R.Nagai, MD, PhD, I. Taniguchi, MD, PhD, and T. Yamazaki, MD, PhD 3F MK Sangenjaya Building, 1-15-3 Kamiuma, Setagaya-ku,Tokyo154-0011,Japan. TEL 03(5486)0601 FAX 03(5486)0599 E-mail: [email protected] https://www.imsj.or.jp/ The 449th International Symposium on Therapy The 449th International Symposium on Therapy was systems and infrastructure, and Dr. Yamamoto has held by the Zoom Webinar on May 27, 2021. Dr. Taro been involved in developing human resources Kondo, Managing Director of the International related to medical care and management for the Medical Society of Japan (IMSJ), presided over the past 10 years. meeting. I had them in mind while planning this meeting, and I wanted to hear about their recent activities, so I Utilization of ICT and AI in healthcare invited them. I am happy and excited for the opportunity to listen their lectures together with all Introductory Message from the Chair of you. Taro Kondo, MD, PhD LectureⅠ Managing Director, IMSJ Health-tech innovation for making our This time, the theme of the meeting is the "Utilization healthcare and society sustainable of ICT and AI in healthcare". We would like to think Yohsuke Takasaki, MD, PhD, ScM, MPA about the future of healthcare. President In the first part, each person from London and Tokyo Institute for Sustainable Society (ISS) will give a lecture. -
The Impetus to Creativity in Technology
The Impetus to Creativity in Technology Alan G. Konheim Professor Emeritus Department of Computer Science University of California Santa Barbara, California 93106 [email protected] [email protected] Abstract: We describe the technical developments ensuing from two well-known publications in the 20th century containing significant and seminal results, a paper by Claude Shannon in 1948 and a patent by Horst Feistel in 1971. Near the beginning, Shannon’s paper sets the tone with the statement ``the fundamental problem of communication is that of reproducing at one point either exactly or approximately a message selected *sent+ at another point.‛ Shannon’s Coding Theorem established the relationship between the probability of error and rate measuring the transmission efficiency. Shannon proved the existence of codes achieving optimal performance, but it required forty-five years to exhibit an actual code achieving it. These Shannon optimal-efficient codes are responsible for a wide range of communication technology we enjoy today, from GPS, to the NASA rovers Spirit and Opportunity on Mars, and lastly to worldwide communication over the Internet. The US Patent #3798539A filed by the IBM Corporation in1971 described Horst Feistel’s Block Cipher Cryptographic System, a new paradigm for encryption systems. It was largely a departure from the current technology based on shift-register stream encryption for voice and the many of the electro-mechanical cipher machines introduced nearly fifty years before. Horst’s vision directed to its application to secure the privacy of computer files. Invented at a propitious moment in time and implemented by IBM in automated teller machines for the Lloyds Bank Cashpoint System. -
Introduction to the Cell Multiprocessor
Introduction J. A. Kahle M. N. Day to the Cell H. P. Hofstee C. R. Johns multiprocessor T. R. Maeurer D. Shippy This paper provides an introductory overview of the Cell multiprocessor. Cell represents a revolutionary extension of conventional microprocessor architecture and organization. The paper discusses the history of the project, the program objectives and challenges, the design concept, the architecture and programming models, and the implementation. Introduction: History of the project processors in order to provide the required Initial discussion on the collaborative effort to develop computational density and power efficiency. After Cell began with support from CEOs from the Sony several months of architectural discussion and contract and IBM companies: Sony as a content provider and negotiations, the STI (SCEI–Toshiba–IBM) Design IBM as a leading-edge technology and server company. Center was formally opened in Austin, Texas, on Collaboration was initiated among SCEI (Sony March 9, 2001. The STI Design Center represented Computer Entertainment Incorporated), IBM, for a joint investment in design of about $400,000,000. microprocessor development, and Toshiba, as a Separate joint collaborations were also set in place development and high-volume manufacturing technology for process technology development. partner. This led to high-level architectural discussions A number of key elements were employed to drive the among the three companies during the summer of 2000. success of the Cell multiprocessor design. First, a holistic During a critical meeting in Tokyo, it was determined design approach was used, encompassing processor that traditional architectural organizations would not architecture, hardware implementation, system deliver the computational power that SCEI sought structures, and software programming models. -
IBM Infosphere
Software Steve Mills Senior Vice President and Group Executive Software Group Software Performance A Decade of Growth Revenue + $3.2B Grew revenue 1.7X and profit 2.9X + $5.6B expanding margins 13 points $18.2B$18.2B $21.4B$21.4B #1 Middleware Market Leader * $12.6B$12.6B Increased Key Branded Middleware 2000 2006 2009 from 38% to 59% of Software revenues Acquired 60+ companies Pre-Tax Income 34% Increased number of development labs Margin globally from 15 to 42 27% 7 pts Margin 2010 Roadmap Performance Segment PTI Growth Model 12% - 15% $8.1B$8.1B 21% 6 pts • Grew PTI to $8B at a 14% CGR Margin • Expanded PTI Margin by 7 points $5.5B$5.5B $2.8B$2.8B ’00–’06’00–’06 ’06–’09’06–’09 Launched high growth initiatives CGRCGR CGRCGR 12%12% 14%14% • Smarter Planet solutions 2000 2006 2009 • Business Analytics & Optimization GAAP View © 2010 International Business Machines Corporation * Source: IBM Market Insights 04/20/10 Software Will Help Deliver IBM’s 2015 Roadmap IBM Roadmap to 2015 Base Growth Future Operating Portfolio Revenue Acquisitions Leverage Mix Growth Initiatives Continue to drive growth and share gain Accelerate shift to higher value middleware Capitalize on market opportunity * business • Middleware opportunity growth of 5% CGR Invest for growth – High growth products growing 2X faster than rest of • Developer population = 33K middleware Extend Global Reach – Growth markets growing 2X faster than major markets • 42 global development labs with skills in 31 – BAO opportunity growth of 7% countries Acquisitions to extend -
IBM Highlights, 1996-1999
IBM HIGHLIGHTS, 1996 - 1999 Year Page(s) 1996 2 - 7 1997 7 - 13 1998 13- 21 1999 21 - 26 November 2004 1406HE05 2 1996 Business Performance IBM revenue reaches $75.94 billion, an increase of six percent over 1995, and earnings grow by nearly 30 percent to $5.42 billion. There are 240,615 employees and 622,594 stockholders at year end. Speaking in Atlanta to a group of shareholders, analysts and reporters at the corporation’s annual meeting, IBM chairman Louis V. Gerstner, Jr., discusses IBM’s condition, prospects for growth and the importance of network computing to the company’s future. IBM reaches agreement with the United States Department of Justice to terminate within five years all remaining provisions of the Consent Decree first entered into by IBM and the U.S. government in 1956. Organization IBM forms the Network Computer Division in November. The company says it will operate its worldwide services business under a single brand: IBM Global Services. IBM puts its industry-specific business units on a single global general manager. IBM and Tivoli Systems Inc. enter a merger agreement. Tivoli is a leading provider of systems management software and services for distributed client/server networks of personal computers and workstations. IBM’s acquisition of Tivoli extends the company’s strength in host-based systems management to multiplatform distributed systems. IBM and Edmark Corporation, a developer and publisher of consumer and education software, complete a merger in December. IBM acquires The Wilkerson Group, one of the world’s oldest and largest consulting firms dedicated to the pharmaceutical and medical products industry. -
Q3 2020 2 Leadership Spotlight Leadership Scientific Spotlight 1
Scientific Updates Q3, 2020 1 Leadership Spotlight Consider Scientific Spotlight 1 Scientific Spotlight 2 downloading Scientific Spotlight 3 this file Publication Highlights Contact us This is an interactive file optimized for PDFs viewers, such as Acrobat Reader and iBooks, and in it you’ll find reference content you might want to go back to. ↖ Use the side menu or the arrow keys to navigate this document Scientific Updates Q3 2020 2 Leadership Spotlight Leadership Scientific Spotlight 1 Scientific Spotlight 2 Spotlight Scientific Spotlight 3 Publication Highlights Contact us Gretchen Jackson, MD, PHD, Dr. Jackson is the director of the Center Vice President and Chief Science Officer, for AI, Research and Evaluation (CARE) IBM Watson Health. at IBM Watson Health and an Associate Professor of Surgery, Pediatrics and Biomedical Informatics at the Vanderbilt University Medical Center. She is an internationally recognized informatician and accomplished clinical surgeon with over 25 years of contributions to informatics research, innovations in health information technologies, and surgical science. continues → Scientific Updates Q3 2020 3 Leadership Spotlight It’s no secret that this year has brought many challenges, and one of the most frustrating things about this year has been Scientific Spotlight 1 dealing with significant uncertainty – from quarantine and working from home, to the rippling effects of COVID-19 on every Scientific Spotlight 2 aspect of life. As the Chief Science Officer for IBM® Watson Health®, a mother of school-aged children and a practicing Scientific Spotlight 3 healthcare provider, I have found it difficult to communicate what we know – and don’t know – about the novel severe acute Publication Highlights respiratory coronavirus that appeared in 2019 (SARS-CoV-2) and the COVID-19 disease.