Thematic Programs

Quantum–Annealing–Based High–Performance Computing – Optimizing real–world systems

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Program Theme

Large–scale combinatorial optimization problems are becoming ever more important in various fields such as disaster prevention, finance, logistics/traffic, medicine, or state–of–the–art technologies like bioinformatics. Efficient methods to solve these large–scale problems are indispensable, since they require a huge amount of computation power.
Recently, Quantum Annealing (QA) is attracting attention as an efficient solver of these large–scale computational problems. With QA, solutions are searched for in a massive parallel manner, based on quantum phenomena. However, for application in real–world systems, quantum methods must be combined with more conventional supercomputers, which provide the required large–scale computations.
This program will bring together researchers and students from many fields, in order to solve some of the world’s most pressing problems through a combination of quantum and conventional computing.

Events

Pre–event: Quantum and quantum–inspired computation for real–world optimization
(March 8, 2021)

Workshop and tutorial on solving combinatorial optimization problems utilizing Quantum Annealing
(May–July 2021)

Quantum Annealing Solution Contest
(December 2021)

Public Lecture on Quantum Computing
(February 2022)

Symposium on Quantum–annealing based HPC
(February 2022)

Organizers

Koichi Hashimoto
(Professor, Graduate School of Information Sciences, Tohoku University)

Masanori Hariyama
(Professor, Graduate School of Information Sciences, Tohoku University)

Hiroaki Kobayashi
(Professor, Graduate School of Information Sciences, Tohoku University)

Masayuki Ohzeki
(Professor, Graduate School of Information Sciences, Tohoku University)

Link  [Mar. 31, 2021 Updated]

Special Site (in Japanese)

Poster  [Mar. 31, 2021 Updated]

Download [PDF]

Visitors List

- Link

Co-hosted by

Graduate School of Information Sciences, Tohoku University