Quantum inference of states and processes
By M. Ježek, Jaromír Fiurásek, Z. Hradil. 2002
151 citations recorded by the source corpus.
The maximum-likelihood principle unifies inference of quantum states and processes from experimental noisy data. Particularly, a generic quantum process may be estimated simultaneously with unknown quantum probe states, provided that measurements on probe and transformed probe states are available. Drawbacks of various approximate treatments are also considered.
Subfields: Artificial Intelligence, Atomic and Molecular Physics, and Optics
View Paper: https://www.semanticscholar.org/paper/3e01137057c8d0bd03eeb01677ba1acfcf0fd2e9
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In Artificial Intelligence
In Atomic and Molecular Physics, and Optics
Citations in the corpus
- Efficient tomography of a quantum many-body system (2016, methodology): “Using the estimated 14-spin MPS state |ψ 3c 〉 from MPS tomography, we perform direct fidelity estimation (DFE)4,5 with the experimentally generated state using an additional set of measurements, obtaining a result of 0.74±0.05 (see Methods and Supplementary Fig.”
- Midcircuit Operations Using the omg Architecture in Neutral Atom Arrays (2023, methodology): “As a separate method to characterize the performance of the MCM, we quantify dephasing, depolarization, and rotation errors through quantum process tomography [75,76] on both the data and ancilla qubits (Appendix I).”
- Implementation of a Toffoli gate with superconducting circuits (2011, methodology): “Using a maximum-likelihood procedure [31] to correct for unphysical properties of χexp, we find that the obtained process matrix, χ exp, has a fidelity of F = Tr[χ expχideal] = 69 % with expected errors at the level of 3 %.”