![]() She is a distinguished expert in nanotechnology and nanosciences and focuses her research on advancing the frontiers of information technology through the physical sciences. She is responsible for leading the research agenda of the Science & Technology department aiming to create scientific and technological breakthroughs in Quantum Computing, Physics of Artificial Intelligence, Nanoscience and Nanotechnology, Precision Diagnostics and Smart System Integration. Developing approaches to connect individual quantum processors in various ways with classical as well as quantum communication links enables a modular approach to further scale quantum systems.ĪBOUT: Heike Riel is IBM Fellow, Head of Science & Technology and Lead of IBM Research Quantum Europe at IBM Research. Moreover, the computational capabilities of today’s quantum hardware can be extended by tight integration of quantum and classical resources using techniques like circuit knitting to accelerate the path towards quantum advantage. Combined with increases in quality and speed this has driven significant improvements in the performance of quantum computers. Integrating new technologies such as advanced packaging, high-density control signal delivery, developing advanced qubit control electronics have already enabled scaling of superconducting quantum processors to 433-qubits. ![]() Advancing the state-of-the-art as quickly as possible requires pursuing in parallel improvements in three key metrics - scale, quality, and speed of quantum systems, as well as simultaneously providing advanced capabilities to exploit the performance and make them easy to use. An entire new computing system is built from the bottom up. ![]() In the past years significant progress has been made toward understanding the scope of quantum computing, pushing its hardware and software technology, developing applications, and advancing error mitigation/correction protocols. Quantum Computers are a radically different approach and open a new trajectory to evolve computation and enable solving difficult and complex problems. He was a co-founder of Cadence and Synopsys, the two leading companies in the area of Electronic Design Automation and the founder and Scientific Director of the PARADES Research Center in Romeĭespite the continued advances of digital computing including accelerators for artificial intelligence, there are still many important and relevant mathematical problems that are intractable for classical computers. ![]() He is an author of over 800 papers, 17 books and 2 patents in the area of design tools and methodologies, large scale systems, embedded systems, hybrid systems and innovation. In 1987, he was Visiting Professor at MIT. In 1980-1981, he was a Visiting Scientist at the Mathematical Sciences Department of the IBM T.J. Buttner Chair of Electrical Engineering and Computer Sciences at the University of California at Berkeley. Finally, I will discuss the challenges posed to EDA by the development of 3D integrated circuits and put them in the context of the evolution of packaging methods over the past 40 years.ĪBOUT: Alberto Sangiovanni Vincentelli is the Edgar L. I will present the evolution of EDA as an effective and powerful early example of Artificial Intelligence, in its broadest sense as “the theory and development of computer systems able to perform tasks that normally require human intelligence”, separate the hype from reality, comment on the present frenzy around machine learning applied to EDA, and reassure our community that design automation engineering is, more than ever, one of the world’s most natural intelligence rich professions. Over the course of six decades, this phenomenon fueled an evolution in technologies and computational software that gradually freed silicon and system designers from the shackles of choice, empowering them to overcome 18 orders of magnitude of design complexity to date, never failing to bring the possibility horizon closer. In 2003, I argued that semiconductor and system design, and design automation, have evolved by way of a repeating pattern of intuitive approaches, great insights and rigorous, if conservative, methodologies that I called “Corsi e Ricorsi”, using the principles of Giambattista Vico, history philosopher of the XVI Century.
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