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Tic Tac Toe Goes Quantum: Exploring Hybrid Reinforcement Learning On NISQ Devices

Zapf, Annette and Henseler, Eva and Wölk, Sabine Esther (2023) Tic Tac Toe Goes Quantum: Exploring Hybrid Reinforcement Learning On NISQ Devices. Symposium "Applications of Quantum Computing", 2023-07-10 - 2023-07-11, München, Deutschland.

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Item URL in elib:https://elib.dlr.de/202510/
Document Type:Conference or Workshop Item (Poster)
Title:Tic Tac Toe Goes Quantum: Exploring Hybrid Reinforcement Learning On NISQ Devices
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Zapf, AnnetteUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Henseler, EvaUniversität UlmUNSPECIFIEDUNSPECIFIED
Wölk, Sabine EstherUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Date:July 2023
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:Quantum Reinforcement Learning, NISQ, Hybrid Agent, Quantum Computing
Event Title:Symposium "Applications of Quantum Computing"
Event Location:München, Deutschland
Event Type:Other
Event Start Date:10 July 2023
Event End Date:11 July 2023
HGF - Research field:other
HGF - Program:other
HGF - Program Themes:other
DLR - Research area:Quantum Computing Initiative
DLR - Program:QC SW - Software
DLR - Research theme (Project):QC - Qlearning
Location: Ulm
Institutes and Institutions:Institute of Quantum Technologies
Institute of Quantum Technologies > Quantum Information and Communication
Institute of Quantum Technologies > Theoretical Quantum Physics
Deposited By: Zapf, Annette
Deposited On:30 Jan 2024 20:55
Last Modified:27 May 2024 15:15

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