Quantum state estimation when qubits are lost: a no-data-left-behind approach

Quantum state estimation when qubits are lost: a no-data-left-behind approach

We present an approach to Bayesian mean estimation of quantum states using hyperspherical parametrization and an experiment-specific likelihood which allows utilization of all available data, even when qubits are lost. With this method, we report the first closed-form Bayesian mean estimate (BME) fo...

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Bibliographic Details
Main Authors: Brian P Williams, Pavel Lougovski
Format: Article
Language:English
Published: IOP Publishing 2017-01-01
Series:New Journal of Physics
Subjects:
quantum state estimation
Bayesian
qubit
inference
slice sampling
Monte Carlo
Online Access:https://doi.org/10.1088/1367-2630/aa65de

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