Empirical Analysis of Decision Making of an AI Agent on IBM’s 5Q Quantum Computer

Natural Science

ISSN Print: 2150-4091
ISSN Online: 2150-4105
www.scirp.net/journal/ns
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"Empirical Analysis of Decision Making of an AI Agent on IBM’s 5Q Quantum Computer"
written by Wei Hu,
published by Natural Science, Vol.10 No.1, 2018

has been cited by the following article(s):

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[1]	A Quantum Probabilistic Comparator: Circuit Implementation
	NAECON 2023-IEEE National Aerospace …, 2023

[2]	Learning Quantum System Disturbance Models with Probabilistic Bayesian Neural Networks
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[3]	Noise Analysis of Grover's Quantum Search Algorithm
	Indian Journal of Pure & Applied …, 2023

[4]	The effect of Ni on the growth morphology of primary β-phase in an In-35 wt% Sn alloy
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[5]	Examination of Risks in Ai/Ml Applications
	2022

[6]	Algoritmo de busca de Grover: estudo comparativo de desempenho dos hardwares quânticos disponibilizados pela IBM, Microsoft e Amazon
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[7]	Playing Atari with Hybrid Quantum-Classical Reinforcement Learning
	2021

[8]	Experimental Realization of Quantum Darwinism State on Quantum Computers
	2020

[9]	Quantum Multiple Q-Learning
	2019

[10]	Training a Quantum Neural Network to Solve the Contextual Multi-Armed Bandit Problem
	2019

[11]	Q Learning with Quantum Neural Networks
	2019

[12]	Reinforcement Learning with Deep Quantum Neural Networks
	2019

[13]	Distributional Reinforcement Learning with Quantum Neural Networks
	2019

[14]	Empirical Analysis of a Quantum Classifier Implemented on IBM's 5Q Quantum Computer
	2018

[15]	Designing Quantum Router in IBM Quantum Computer
	2018

[16]	Towards a Real Quantum Neuron
	2018

[17]	Comparison of Two Quantum Nearest Neighbor Classifiers on IBM's Quantum Simulator
	2018

[18]	Implementing Grover's Algorithm on the IBM Quantum Computers
	2018

[1]	A Quantum Probabilistic Comparator: Circuit Implementation NAECON 2023 - IEEE National Aerospace and Electronics Conference, 2023 DOI:10.1109/NAECON58068.2023.10365860

[2]	Learning Quantum System Disturbance Models with Probabilistic Bayesian Neural Networks NAECON 2023 - IEEE National Aerospace and Electronics Conference, 2023 DOI:10.1109/NAECON58068.2023.10365822

[3]	Reinforcement Learning with Deep Quantum Neural Networks Journal of Quantum Information Science, 2019 DOI:10.4236/jqis.2019.91001

[4]	Training a Quantum Neural Network to Solve the Contextual Multi-Armed Bandit Problem Natural Science, 2019 DOI:10.4236/ns.2019.111003

[5]	Quantum Multiple Q-Learning International Journal of Intelligence Science, 2019 DOI:10.4236/ijis.2019.91001

[6]	Distributional Reinforcement Learning with Quantum Neural Networks Intelligent Control and Automation, 2019 DOI:10.4236/ica.2019.102004

[7]	Q Learning with Quantum Neural Networks Natural Science, 2019 DOI:10.4236/ns.2019.111005

[8]	Towards a Real Quantum Neuron Natural Science, 2018 DOI:10.4236/ns.2018.103011

[9]	Comparison of Two Quantum Nearest Neighbor Classifiers on IBM’s Quantum Simulator Natural Science, 2018 DOI:10.4236/ns.2018.103010

[10]	Empirical Analysis of a Quantum Classifier Implemented on IBM’s 5Q Quantum Computer Journal of Quantum Information Science, 2018 DOI:10.4236/jqis.2018.81001

[11]	Implementing Grover’s Algorithm on the IBM Quantum Computers 2018 IEEE International Conference on Big Data (Big Data), 2018 DOI:10.1109/BigData.2018.8622457

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