Entropy Webinar | Advances in Quantum Computing
the chair
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: entropy.webinar@mdpi.com
Meet Our Speakers
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).
On Wednesday 30th November 2022 , MDPI and the Journal Entropy organized the 1st Webinar entitled “ Advances in Quantum Computing”. This online webinar was chaired by Dr. Brian La Cour from the Applied Research Laboratories, The University of Texas at Austin, USA, and Professor Giuliano Benenti from the Department of Science and High Technology, University of Insubria, Italy.
This webinar was organized to demonstrate the tremendous progress that has been made in the field over the last several years. This includes advances in both hardware development and novel algorithms. Dr. Brian La Cour and Professor Giuliano Benenti were joined by 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.
The presentations were followed by a Q&A and a discussion, moderated by the Chair. The webinar was offered via Zoom and required registration to attend. The full recording can be found here on Sciforum website. In order to stay updated on the next webinars on Entropy be sure to sign up for our newsletter by clicking on “Subscribe” at the top of the page.
Guest Editors: Dr. Brian R. La Cour and Dr. Giuliano Benenti
Deadline for manuscript submissions: 15 March 2023