Introduction to Quantum Reinforcement Learning: Theory and PennyLane-based Implementation

Yunseok Kwak; Won Joon Yun; Soyi Jung; Jong Kook Kim; Joongheon Kim

doi:10.1109/ICTC52510.2021.9620885

Introduction to Quantum Reinforcement Learning: Theory and PennyLane-based Implementation

Yunseok Kwak
, Won Joon Yun
, Soyi Jung
, Jong Kook Kim
, Joongheon Kim

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

49 Citations (Scopus)

Abstract

The emergence of quantum computing enables for researchers to apply quantum circuit on many existing studies. Utilizing quantum circuit and quantum differential programming, many research are conducted such as Quantum Machine Learning (QML). In particular, quantum reinforcement learning is a good field to test the possibility of quantum machine learning, and a lot of research is being done. This work will introduce the concept of quantum reinforcement learning using a variational quantum circuit, and confirm its possibility through implementation and experimentation. We will first present the background knowledge and working principle of quantum reinforcement learning, and then guide the implementation method using the PennyLane library. We will also discuss the power and possibility of quantum reinforcement learning from the experimental results obtained through this work.

Original language	English
Title of host publication	ICTC 2021 - 12th International Conference on ICT Convergence
Subtitle of host publication	Beyond the Pandemic Era with ICT Convergence Innovation
Publisher	IEEE Computer Society
Pages	416-420
Number of pages	5
ISBN (Electronic)	9781665423830
DOIs	https://doi.org/10.1109/ICTC52510.2021.9620885
Publication status	Published - 2021
Event	12th International Conference on Information and Communication Technology Convergence, ICTC 2021 - Jeju Island, Korea, Republic of Duration: 2021 Oct 20 → 2021 Oct 22

Publication series

Name	International Conference on ICT Convergence
Volume	2021-October
ISSN (Print)	2162-1233
ISSN (Electronic)	2162-1241

Conference

Conference	12th International Conference on Information and Communication Technology Convergence, ICTC 2021
Country/Territory	Korea, Republic of
City	Jeju Island
Period	21/10/20 → 21/10/22

Bibliographical note

Publisher Copyright:
© 2021 IEEE.

ASJC Scopus subject areas

Information Systems
Computer Networks and Communications

Access to Document

10.1109/ICTC52510.2021.9620885

Cite this

Kwak, Y., Yun, W. J., Jung, S., Kim, J. K., & Kim, J. (2021). Introduction to Quantum Reinforcement Learning: Theory and PennyLane-based Implementation. In ICTC 2021 - 12th International Conference on ICT Convergence: Beyond the Pandemic Era with ICT Convergence Innovation (pp. 416-420). (International Conference on ICT Convergence; Vol. 2021-October). IEEE Computer Society. https://doi.org/10.1109/ICTC52510.2021.9620885

Introduction to Quantum Reinforcement Learning: Theory and PennyLane-based Implementation. / Kwak, Yunseok; Yun, Won Joon; Jung, Soyi et al.
ICTC 2021 - 12th International Conference on ICT Convergence: Beyond the Pandemic Era with ICT Convergence Innovation. IEEE Computer Society, 2021. p. 416-420 (International Conference on ICT Convergence; Vol. 2021-October).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Kwak, Y, Yun, WJ, Jung, S, Kim, JK & Kim, J 2021, Introduction to Quantum Reinforcement Learning: Theory and PennyLane-based Implementation. in ICTC 2021 - 12th International Conference on ICT Convergence: Beyond the Pandemic Era with ICT Convergence Innovation. International Conference on ICT Convergence, vol. 2021-October, IEEE Computer Society, pp. 416-420, 12th International Conference on Information and Communication Technology Convergence, ICTC 2021, Jeju Island, Korea, Republic of, 21/10/20. https://doi.org/10.1109/ICTC52510.2021.9620885

Kwak Y, Yun WJ, Jung S, Kim JK , Kim J. Introduction to Quantum Reinforcement Learning: Theory and PennyLane-based Implementation. In ICTC 2021 - 12th International Conference on ICT Convergence: Beyond the Pandemic Era with ICT Convergence Innovation. IEEE Computer Society. 2021. p. 416-420. (International Conference on ICT Convergence). doi: 10.1109/ICTC52510.2021.9620885

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Introduction to Quantum Reinforcement Learning: Theory and PennyLane-based Implementation

Abstract

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