Deep Variational Quantum Eigensolver: A Divide-And-Conquer Method for Solving a Larger Problem with Smaller Size Quantum Computers

Mar 21, 2022·
Keisuke Fujii
,
Kaoru Mizuta
Hiroshi Ueda
Hiroshi Ueda
,
Kosuke Mitarai
,
Wataru Mizukami
,
Yuya O. Nakagawa
· 0 min read
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]
publications
Hiroshi Ueda
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.