Quantum model learning agent: characterisation of quantum systems through machine learning

Quantum model learning agent: characterisation of quantum systems through machine learning

Accurate models of real quantum systems are important for investigating their behaviour, yet are difficult to distil empirically. Here, we report an algorithm—the quantum model learning agent (QMLA)—to reverse engineer Hamiltonian descriptions of a target system. We test the performance of QMLA on a...

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Bibliographic Details
Main Authors: Brian Flynn, Antonio A Gentile, Nathan Wiebe, Raffaele Santagati, Anthony Laing
Format: Article
Language:English
Published: IOP Publishing 2022-01-01
Series:New Journal of Physics
Subjects:
quantum simulation
machine learning
quantum machine learning
quantum computing
genetic algorithm
Bayesian inference
Online Access:https://doi.org/10.1088/1367-2630/ac68ff

Internet

https://doi.org/10.1088/1367-2630/ac68ff

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