Construction of an Environment Model for Auto-tuning Quantum Dot Devices Using Model-based Reinforcement Learning

Chihiro Kondo

doi:https://doi.org/10.7567/SSDM.2023.B-1-03

Presentation information

Focus Session

Focus Session (Area 1&2&9)

[B-1] Quantum and cold computing 1

Wed. Sep 6, 2023 2:00 PM - 3:45 PM Room B (133+134, Bldg. 1)

Session Chairs: Hidehiro Asai (AIST), Takafumi Fujita (Osaka Univ.)

2:45 PM - 3:00 PM

[B-1-03] Construction of an Environment Model for Auto-tuning Quantum Dot Devices Using Model-based Reinforcement Learning

^○Chihiro Kondo¹, Raisei Mizokuchi¹, Jun Yoneda¹, Tetsuo Kodera¹ (1. Tokyo Inst. of Tech. (Japan))

https://doi.org/10.7567/SSDM.2023.B-1-03

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Presentation information

[B-1] Quantum and cold computing 1

[B-1-03] Construction of an Environment Model for Auto-tuning Quantum Dot Devices Using Model-based Reinforcement Learning

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