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Neural Networks for Quantum Inverse Problems
[article]
2021
arXiv
pre-print
Quantum Inverse Problem (QIP) is the problem of estimating an unknown quantum system ρ from a set of measurements, whereas the classical counterpart is the Inverse Problem of estimating a distribution from a set of observations. In this paper, we present a neural network based method for QIPs, which has been widely explored for its classical counterpart. The proposed method utilizes the quantum-ness of the QIPs and takes advantage of the computational power of neural networks to achieve higher
arXiv:2005.01540v2
fatcat:imvdblmk7zdsngsl6uordrmjp4