CRNCH Summit 2022 - Andrew Childs - Overview of the NSF Quantum Leap Challenge Institute for Robust Quantum Simulation
From Jeffrey Young
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From Jeffrey Young
Abstract: The Institute for Robust Quantum Simulation will use quantum simulation to gain insight into, and thereby exploit, the rich behavior of complex quantum systems. Combining expertise in computer science, engineering, and physics, our team is addressing the grand challenge of robustly simulating classically intractable quantum systems of practical interest and verifying correctness of the simulation result. We will meet this challenge by exploring the theoretical foundations of quantum algorithms and error correction in conjunction with experimental implementations of reconfigurable quantum simulators on four leading hardware platforms: trapped ions, arrays of Rydberg atoms, quantum photonics with solid‐state defects, and superconducting circuits. Three major research challenges will study verifying simulations, the interaction of simulators with environments, and the development of scalable quantum simulators for science and technology. We will also engage the broader research community with events including summer schools and a new flagship conference on quantum simulation. We will create outreach and education programs that engage diverse groups of students in quantum science, introduce cross‐disciplinary undergraduate specializations in quantum information, and provide quantum information training for postgraduates and professionals.
Bio: Andrew Childs, co-director of QuICS, is a professor in the Department of Computer Science and the Institute for Advanced Computer Studies (UMIACS). He is also the director of the NSF Quantum Leap Challenge Institute for Robust Quantum Simulation. Childs's research interests are in the theory of quantum information processing, especially quantum algorithms. He has explored the computational power of quantum walk, providing an example of exponential speedup, demonstrating computational universality, and constructing algorithms for problems including search and formula evaluation. Childs has also developed fast quantum algorithms for simulating Hamiltonian dynamics. His other areas of interest include quantum query complexity and quantum algorithms for algebraic problems. Before coming to UMD, Childs was a DuBridge Postdoctoral Scholar at Caltech from 2004-2007 and a faculty member in Combinatorics & Optimization and the Institute for Quantum Computing at the University of Waterloo from 2007-2014. Childs received his doctorate in physics from MIT in 2004.