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RL-QEC: Harnessing Reinforcement Learning for Quantum Error Correction Advancements

Veeresh, K and Deepak, S and Srinivas, T (2024) RL-QEC: Harnessing Reinforcement Learning for Quantum Error Correction Advancements. In: 2nd IEEE International Conference on Trends in Quantum Computing and Emerging Business Technologies, TQCEBT 2024, 22 March 2024 through 23 March 2024, Pune, India..

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Official URL: https://doi.org/10.1109/TQCEBT59414.2024.10545200

Abstract

With a particular emphasis on fixing fault defects caused by bitflip and depolarizing noise, this study explores the use of RL methods within the framework of quantum error correction. This work investigates the flexibility and independence of RL-trained agents in reducing bitflip mistakes by methodically looking at error rates and qubit lifetimes. Furthermore, we study how the top-performing agents are affected by depolarizing noise and present a strategic "Decoded Surface Code"method for fixing mistakes. The results show how RL works in handling different types of errors on its own, revealing subtle dynamics in the quantum system. Quantum error correction is a rapidly developing area, and this study adds to it by shedding light on how reinforcement learning could improve quantum computing's fault tolerance. The study's findings provide a basis for future research into more robust quantum computing systems and have ramifications for the creation of autonomous error-correcting algorithms. © 2024 IEEE.

Item Type: Conference Paper
Publication: TQCEBT 2024 - 2nd IEEE International Conference on Trends in Quantum Computing and Emerging Business Technologies 2024
Publisher: Institute of Electrical and Electronics Engineers Inc.
Additional Information: The copyright for this article belongs to the publishers.
Keywords: Error correction; Fault tolerant computer systems; Quantum electronics; Quantum noise; Quantum optics; Reinforcement learning, Bit-flips; Bitflip noise; Depolarizing noise; Error mitigation; Error rate; Fault error mitigation; Quantum error corrections; Quantum system; Reinforcement learnings; Used- quantum error correction, Quantum computers
Department/Centre: Division of Electrical Sciences > Electrical Communication Engineering
Date Deposited: 09 Oct 2024 11:43
Last Modified: 09 Oct 2024 11:43
URI: http://eprints.iisc.ac.in/id/eprint/86357

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