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Entropy Webinar | Advances in Quantum Computing

30 Nov 2022, 17:00 (CET)

Quantum Computing, Quantum Algorithms, Quantum Machine Learning, Quantum Simulations, Quantum Advantage, Quantum Hardware, NISQ Devices
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Welcome from the Chairs

1st Entropy Webinar

Advances in Quantum Computing

The field of quantum information science has seen tremendous progress over the last several years, with advances in both hardware development and novel algorithms. Already, there have been several claims to the demonstration of quantum computational advantage, in both matter-based and photonic devices, and new large-scale systems promise to soon provide a practical advantage over classical digital processors in real-world applications. Nevertheless, some of the early demonstrations of quantum advantage have more recently been challenged by new classical methods that can mimic the noisy and imprecise nature of realistic quantum devices. The future viability of quantum computers now appears to rely on demonstrating two key features: (1) they are fundamentally distinct and more capable than classical devices, and (2) they are practically scalable in the number of qubits.

In this webinar, we will talk with three of the leading experts in quantum computing to hear their perspectives on the recent advances, and challenges, in developing large-scale, fault-tolerant quantum computers capable of solving tomorrow’s growing computational needs.

Date: 30 November 2022

Time: 5:00 pm CET | 11:00 am EDT | 12:00 am CST Asia

Webinar ID: 858 2367 1531

Webinar Secretariat:


Applied Research Laboratories, The University of Texas at Austin, USA

Brian La Cour is a Research Scientist at Applied Research Laboratories, The University of Texas at Austin, and a Clinical Assistant Professor in the UT College of Natural Sciences. He currently serves as Faculty Lead for UT OnRamps Quantum Computing program and is the principal investigator for the UT Freshman Research Initiative Quantum Computing stream. Dr. La Cour directs the ARL:UT Center for Quantum Research, which conducts research in quantum computing, sensing, and communication. His research interests include quantum optics, quantum-inspired algorithms, and exploring the quantum/classical boundary.

Department of Science and High Technology, University of Insubria, Italy

Born in Voghera (Pavia), Italy, November 7th, 1969. He received his PhD in Physics at Milan University, Italy, and was a postdoctoral fellow at CEA, Saclay, France. His main research interests are in the fields of quantum information theory, quantum thermodynamics, nonlinear and complex systems, classical and quantum transport. Author of more than 150 scientific publications, including a textbook on Principles of Quantum Computation and Information (2004-2007, second updated and extended edition in 2019).

Invited Speakers

Experimental Quantum Computing, IBM Thomas J. Watson Research Center, USA

Jerry Chow is the Senior Manager of Quantum System Technology at the IBM Thomas J. Watson Research Center in Yorktown Heights, New York. He graduated magna cum laude with a B.A. in physics and M.S. in applied mathematics from Harvard University. He went on to earn his Ph.D. in 2010 under Robert J. Schoelkopf at Yale University. Dr. Chow's research group was the first to demonstrate coupling superconducting qubits via a cavity bus. He joined IBM's experimental quantum computing division in 2010 and went on to colead the division in 2014. In 2021, Dr. Chow was named a Fellow of the American Physical Society.

Department of Mechanical Engineering, Massachusetts Institute of Technology, USA

Seth Lloyd is professor of mechanical engineering at MIT and co-founder of Turing Quantum. Dr. Lloyd's research focuses on problems on information and complexity in the universe. He was the first person to develop a realizable model for quantum computation and is working with a variety of groups to construct and operate quantum computers and quantum communication systems. Dr. Lloyd has worked to establish fundamental physical limits to precision measurement and to develop algorithms for quantum computers for pattern recognition and machine learning. He is author of over two hundred scientific papers, and of `Programming the Universe,' (Knopf, 2004).

Department of Computer Science, The University of Texas at Austin, USA

Scott Aaronson is the Schlumberger Chair of Computer Science at The University of Texas at Austin and founding director of its Quantum Information Center. He received his bachelor's from Cornell University and his PhD from UC Berkeley. Before coming to UT Austin, he spent nine years as a professor in Electrical Engineering and Computer Science at MIT. Aaronson's research in theoretical computer science has focused mainly on the capabilities and limits of quantum computers. His first book, Quantum Computing Since Democritus, was published in 2013 by Cambridge University Press. He received the National Science Foundation’s Alan T. Waterman Award, the United States PECASE Award, the Tomassoni-Chisesi Prize in Physics, and the ACM Prize in Computing, and is a Fellow of the ACM.

Webinar Content

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Time in CET

Chair Dr. Brian La Cour

Chair Introduction

5:00 - 5:10 pm

Dr. Jerry Chow

Research and Development Updates from IBM

5:10 – 5:40 pm


5:40– 5:45 pm

Professor Seth Lloyd

Quantum Machine Learning

5:45 – 6:15 pm


6:15 – 6:20 pm

Professor Scott Aaronson

Quantum Computing Q&A

6:20 – 6:55 pm

Closing of Webinar

Dr. Brian La Cour

6:55 – 7:00 pm

Relevant SI

Advances in Quantum Computing
Guest Editors: Dr. Brian R. La Cour and Dr. Giuliano Benenti
Deadline for manuscript submissions: 15 March 2023

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