Deep Variational Quantum Eigensolver: A Divide-And-Conquer Method for Solving a Larger Problem with Smaller Size Quantum Computers
Mar 21, 2022·,
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0 min read
Keisuke Fujii
Kaoru Mizuta
Hiroshi Ueda
Kosuke Mitarai
Wataru Mizukami
Yuya O. Nakagawa
Abstract
Deep Variational Quantum Eigensolver: A Divide-And-Conquer Method for Solving a Larger Problem with Smaller Size Quantum Computers.
Type
Publication
PRX Quantum 3, 010346 (2022) [12 pages]

Authors
Associate Professor
Hiroshi Ueda is an Associate Professor at the Center for Quantum Information and Quantum Biology (QIQB), The University of Osaka.
His research focuses on tensor network methods, quantum many-body physics, quantum algorithms, and quantum-classical hybrid computation. He develops theoretical and numerical approaches for understanding quantum many-body systems and for designing quantum algorithms inspired by tensor network structures.