Demonstration of a measurement-based adaptation protocol with quantum reinforcement learning on the IBM Q experience platform

DOI10.1007/s11128-020-02657-xOpenAlexW3015178571MaRDI QIDQ2677229

Kishore S. Shenoy, Dev Y. Sheth, Prasanta K. Panigrahi, Bikash K. Behera

Publication date: 13 January 2023

Published in: Quantum Information Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11128-020-02657-x

zbMATH Keywords

IBM quantum experiencequantum machine learningquantum reinforcement learning

Mathematics Subject Classification ID

Quantum state estimation, approximate cloning (81P50)

Related Items (2)

Solving diner's dilemma game, circuit implementation and verification on the IBM quantum simulator ⋮ Demonstration of quantum Darwinism on quantum computer

Uses Software

• TensorFlow
• GitHub

Cites Work

• Unnamed Item
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• Generalization and demonstration of an entanglement-based Deutsch-jozsa-like algorithm using a 5-qubit quantum computer
• Experimental demonstration of non-local controlled-unitary quantum gates using a five-qubit quantum computer
• Machine learning: Trends, perspectives, and prospects
• Quantum Computation and Quantum Information
• The vectorization of ITPACK 2C

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