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...

Full description

Bibliographic Details
Main Authors: Flynn, B. (Author), Gentile, A.A (Author), Laing, A. (Author), Santagati, R. (Author), Wiebe, N. (Author)
Format: Article
Language:English
Published: Institute of Physics 2022
Subjects:
Bayesian inference
Bayesian networks
Elo ratings
genetic algorithm
Genetic algorithms
Hamiltonians
Inference engines
Learning algorithms
Learning systems
machine learning
Machine learning
Machine-learning
Model learning
Quantum chemistry
Quantum computers
quantum computing
Quantum Computing
quantum machine learning
Quantum machine learning
Quantum machines
Quantum models
Quantum optics
quantum simulation
Quantum simulations
Online Access:View Fulltext in Publisher

Internet

View Fulltext in Publisher

Similar Items