Robust Adaptive Quantum Phase Estimation

Abstract

Quantum parameter estimation is central to many fields such as quantum computation, communications and metrology. Optimal estimation theory has been instrumental in achieving the best accuracy in quantum parameter estimation, which is possible when we have very precise knowledge of and control over the model. However, uncertainties in key parameters underlying the system are unavoidable and may impact the quality of the estimate. We show here how quantum optical phase estimation of a squeezed state of light exhibits improvement when using a robust fixed-interval smoother designed with uncertainties explicitly introduced in parameters underlying the phase noise.

25 pages, 8 figures, Journal version (accepted)

References in corpus (7)

• A Quantum-Enhanced Prototype Gravitational-Wave Detector
• Quantum-enhanced optical phase tracking
• Time-Symmetric Quantum Theory of Smoothing
• Robust quantum parameter estimation: coherent magnetometry with feedback
• Quantum-Limited Mirror-Motion Estimation
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Cited by in corpus (5)

• Learning in Quantum Control: High-Dimensional Global Optimization for Noisy Quantum Dynamics
• Robustness of Quantum-Enhanced Adaptive Phase Estimation
• Quantum state smoothing cannot be assumed classical even when the filtering and retrofiltering are classical
• Single-shot Adaptive Measurement for Quantum-enhanced Metrology
• Robust Guaranteed-Cost Adaptive Quantum Phase Estimation