IBM Research: Science & Technology and Semiconductor Technology Research Overview
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Implementing Grover's Algorithm on the IBM Quantum Computers
Implementing Grover’s Algorithm on the IBM Quantum Computers Aamir Mandviwalla*, Keita Ohshiro* and Bo Ji Abstract—This paper focuses on testing the current viability of Our goal in this paper is to study how close we are using quantum computers for the processing of data-driven tasks hardware-wise to realistically being able to exploit the poten- fueled by emerging data science applications. We test the publicly tial benefits of quantum algorithms. Prior work is rather limited available IBM quantum computers using Grover’s algorithm, a well-known quantum search algorithm, to obtain a baseline for this subject. There exist articles proclaiming that the age for the general evaluations of these quantum devices and to of quantum computing is only a year or two away along with investigate the impacts of various factors such as number of less positive articles that do not expect major advancements quantum bits (or qubits), qubit choice, and device choice. The for at least ten years [7], [8]. Instead of providing a prediction main contributions of this paper include a new 4-qubit imple- for the future, in this paper we aim to evaluate the accuracy mentation of Grover’s algorithm and test results showing the current capabilities of quantum computers. Our study indicates of quantum computers that are publicly available now. that quantum computers can currently only be used accurately To accomplish this goal, we run tests using Grover’s al- for solving simple problems with very small amounts of data. gorithm implemented in a variety of different ways on the There are also notable differences between different selections of publicly available IBM computers: IBM Q 5 Tenerife (5-qubit the qubits in the implementation design and between different chip) and IBM Q 16 Ruschlikon¨ (16-qubit chip) [9]. -
30 Years of Moving Individual Atoms
FEATURES 30 YEARS OF MOVING INDIVIDUAL ATOMS 1 2 l Christopher Lutz and Leo Gross – DOI: https://doi.org/10.1051/epn/2020205 l 1 IBM Research – Almaden, San Jose, California, USA l 2 IBM Research – Zurich,¨ 8803 Ruschlikon,¨ Switzerland In the thirty years since atoms were first positioned individually, the atom-moving capability of scanning probe microscopes has grown to employ a wide variety of atoms and small molecules, yielding custom nanostructures that show unique electronic, magnetic and chemical properties. his year marks the thirtieth anniversary of the publication by IBM researchers Don Eigler and Erhard Schweizer showing that individ- Tual atoms can be positioned precisely into chosen patterns [1]. Tapping the keyboard of a personal computer for 22 continuous hours, they controlled the movement of a sharp tungsten needle to pull 35 individ- ual xenon atoms into place on a surface to spell the letters “IBM” (Figure 1). Eigler and Schweitzer’s demonstration set in motion the use of a newly invented tool, called the scanning tunneling microscope (STM), as the workhorse for nanoscience research. But this achievement did even more than that: it changed the way we think of atoms. m FIG. 2: The STM that Don Eigler and coworkers used to position atoms. The It led us to view them as building blocks that can be tip is seen touching its reflection in the sample’s surface. (Credit: IBM) arranged the way we choose, no longer being limited by the feeling that atoms are inaccessibly small. with just one electron or atom or (small) molecule. FIG. -
Advanced Packaging Solutions
Advanced Packaging Solutions Highlights Providing silicon-scaling • Advanced packaging capabilities in solutions for tomorrow’s applications 2.5D, 3D, WLP and Silicon Photonics GLOBALFOUNDRIES post-fab services provide complementary and extended • Power, performance, cost and solutions with complete supply chain management including bump, probe, form-factor optimized solutions packaging and final test. The flexible supply chain model is tailored to your • Industry leader in smart interposers needs with services ranging from bump and probe only to a more comprehen- sive spectrum of services including package design, assembly and test. • In-house bump and wafer probe capabilities In addition to in-house bump and probe capabilities, we provide packaging • Advanced memory integration services in collaboration with a network of established OSAT partners, includ- with stacked memories ing 2D packages as well as 2.5D and 3D advanced package technologies. Test development and capabilities include RF, analog, embedded memory, • Ownership and process maturity for HVM and mmWave applications, with wide array of tester platforms for wafer sort operations. • Advanced silicon node CPI and qualification Packaging Requirements • RF system-in-package and Package types are selected based on performance requirements and optimized mmWave packaging capability for market segments including IoT, RF, Automotive, Mobile, High-end • Partnerships and strong relationships Computing, Networking and Storage. with leading-edge OSATs • Flexible supply chain and Mobile IoT RF Automotive Computing Networking Storage collaborative business models QFN FBGA WLCSP FOWLP SiP fcCSP FCBGA 2.5D 3D Si-PH Advanced Packaging Solutions Packaging Technologies TSV Si Interposer Availability GF Si nodes are qualified in a wide range of package Full Reticle 26x33mm2 technologies including 2D wirebond designs, flip Stitched Interposer >1300 mm2 chip, WLCSP and FOWLP configurations, as well 10:1 Aspect Ratio TSV 10um Dia./ 100um Depth as 2.5D, 3D and Si-Photonics. -
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. -
Arxiv:1812.09167V1 [Quant-Ph] 21 Dec 2018 It with the Tex Typesetting System Being a Prime Example
Open source software in quantum computing Mark Fingerhutha,1, 2 Tomáš Babej,1 and Peter Wittek3, 4, 5, 6 1ProteinQure Inc., Toronto, Canada 2University of KwaZulu-Natal, Durban, South Africa 3Rotman School of Management, University of Toronto, Toronto, Canada 4Creative Destruction Lab, Toronto, Canada 5Vector Institute for Artificial Intelligence, Toronto, Canada 6Perimeter Institute for Theoretical Physics, Waterloo, Canada Open source software is becoming crucial in the design and testing of quantum algorithms. Many of the tools are backed by major commercial vendors with the goal to make it easier to develop quantum software: this mirrors how well-funded open machine learning frameworks enabled the development of complex models and their execution on equally complex hardware. We review a wide range of open source software for quantum computing, covering all stages of the quantum toolchain from quantum hardware interfaces through quantum compilers to implementations of quantum algorithms, as well as all quantum computing paradigms, including quantum annealing, and discrete and continuous-variable gate-model quantum computing. The evaluation of each project covers characteristics such as documentation, licence, the choice of programming language, compliance with norms of software engineering, and the culture of the project. We find that while the diversity of projects is mesmerizing, only a few attract external developers and even many commercially backed frameworks have shortcomings in software engineering. Based on these observations, we highlight the best practices that could foster a more active community around quantum computing software that welcomes newcomers to the field, but also ensures high-quality, well-documented code. INTRODUCTION Source code has been developed and shared among enthusiasts since the early 1950s. -
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 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. -
Spring 2017 Industry Study Industry Report Electronics
Spring 2017 Industry Study Industry Report Electronics The Dwight D. Eisenhower School for National Security and Resource Strategy National Defense University Fort McNair, Washington, DC 20319-5062 i ELECTRONICS 2017 ABSTRACT: While currently assessed as mature and healthy, the global semiconductor industry is facing a strategic inflection point. This inflection will shape a future for the industry that is significantly different than the past. Although outlook for that future remains favorable, numerous challenges place that future at risk. Challenges found in Chinese competition, skilled workforce shortages, commercial semiconductor market shifts, unique DoD electronics needs, and ongoing requirements for rapid innovation threaten the stability of the market, the U.S. competitive advantage, and U.S. economic and national security. Future success in the industry hinges upon policies which address these challenges and enable U.S. companies to embrace future opportunities. LTC Khalid Alothman, Saudi Arabian Army CDR Terri L. Gabriel, U.S. Navy LTC Kevin F. Hanrahan, U.S. Army COL Jeffrey Howell, U.S. Army Mr. Benjamin Lam, U.S. Dept. of State Mr. Steven Mapes, Office of the Secretary of Defense Lt Col Adrian Meyer, Air National Guard COL Michael Samson, Philippine Army Col James E. Smith, U.S. Air Force Mr. Keith Smithson, Dept. of Energy COL William Smoot, U.S. Army Mr. Sim Walker, Dept. of the Army Lt Col Aaron Weiner, U.S. Air Force Ms. Denise L. Williams, Office of the Secretary of Defense Dr. Stephen Basile, Faculty Mr. Michael Dixon, Department of State, Faculty Col Thomas A. Santoro, Jr., U.S. Air Force, Faculty ii Industry Study Outreach and Field Studies On Campus Presenters BAE Systems, Inc., Arlington, VA Bureau of East Asian and Pacific Affairs, U.S. -
Heading Towards Big Data Building a Better Data Warehouse for More Data, More Speed, and More Users
Heading Towards Big Data Building A Better Data Warehouse For More Data, More Speed, And More Users Raymond Gardiner Goss [email protected] Kousikan Veeramuthu [email protected] Manufacturing Technology GLOBALFOUNDRIES Malta, NY, USA Abstract—As a new company, GLOBALFOUNDRIES is determine the caller’s income level and specify to which agent aggressively agile and looking at ways to not just mimic existing to route the call or the switch would timeout. When switches semiconductor manufacturing data management but to leverage were overwhelmed with data, they would drop packets and new technologies and advances in data management without algorithms had to infer states based on most probable current sacrificing performance or scalability. Being a global technology state. Other industries, such as social media, are challenged company that relies on the understanding of data, it is important to centralize the visibility and control of this information, bringing more by unstructured data and need tools to help turn text it to the engineers and customers as they need it. messages and photos into useful information for search engines and marketing purposes. The challenge in the semiconductor Currently, the factories are employing the best practices and world is with the size of the data. Speed becomes a secondary data architectures combined with business intelligence analysis problem because so many sources are needed to be joined and reporting tools. However, the expected growth in data over together in a timely manner. Large recipes, complex output the next several years and the need to deliver more complex data integration for analysis will easily stress the traditional tools from the test floor combined now with more Interface-A trace beyond the limits of the traditional data infrastructure. -
Boa Motion to Dismiss
Case 21-10036-CSS Doc 211-4 Filed 02/15/21 Page 425 of 891 Disposition of the Stapled Securities Gain on sale of Stapled Securities by a Non-U.S. Stapled Securityholder will not be subject to U.S. federal income taxation unless (i) the Non-U.S. Stapled Securityholder’s investment in the Stapled Securities is effectively connected with its conduct of a trade or business in the United States (and, if provided by an applicable income tax treaty, is attributable to a permanent establishment or fixed base the Non-U.S. Stapled Securityholder maintains in the United States) and a properly completed Form W-8ECI has not been provided, (ii) the Non-U.S. Stapled Securityholder is present in the United State for 183 days or more in the taxable year of the sale and other specified conditions are met, or (iii) the Non-U.S. Stapled Securityholder is subject to U.S. federal income tax pursuant to the provisions of the U.S. tax law applicable to U.S. expatriates. If gain on the sale of Stapled Securities would be subject to U.S. federal income taxation, the Stapled Securityholder would generally recognise any gain or loss equal to the difference between the amount realised and the Stapled Securityholder’s adjusted basis in its Stapled Securities that are sold or exchanged. This gain or loss would be capital gain or loss, and would be long-term capital gain or loss if the Stapled Securityholder’s holding period in its Stapled Securities exceeds one year. In addition, a corporate Non-U.S. -
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.