Abstract
The estimation of multiple parameters in quantum metrology is important for a vast array of applications in quantum information processing. However, the unattainability of fundamental precision bounds for incompatible observables has greatly diminished the applicability of estimation theory in many practical implementations. The Holevo Cramer-Rao bound (HCRB) provides the most fundamental, simultaneously attainable bound for multi-parameter estimation problems. A general closed form for the HCRB is not known given that it requires a complex optimisation over multiple variables. In this work, we develop an analytic approach to solving the HCRB for two parameters. Our analysis reveals the role of the HCRB and its interplay with alternative bounds in estimation theory. For more parameters, we generate a lower bound to the HCRB. Our work greatly reduces the complexity of determining the HCRB to solving a set of linear equations that even numerically permits a quadratic speedup over previous state-of-the-art approaches. We apply our results to compare the performance of different probe states in magnetic field sensing, and characterise the performance of state tomography on the codespace of noisy bosonic error-correcting codes. The sensitivity of state tomography on noisy binomial codestates can be improved by tuning two coding parameters that relate to the number of correctable phase and amplitude damping errors. Our work provides fundamental insights and makes significant progress towards the estimation of multiple incompatible observables.
Highlights
Physical quantities such as time, phase, and entanglement cannot be measured directly but instead must be inferred through indirect measurements
Our analysis reveals the role of the Holevo Cramér-Rao bound (HCRB) and its interplay with alternative bounds in estimation theory
Our work greatly reduces the complexity of determining the HCRB to solving a set of linear equations that even numerically permits a quadratic speedup over previous state-of-the-art approaches
Summary
Physical quantities such as time, phase, and entanglement cannot be measured directly but instead must be inferred through indirect measurements. We cannot achieve the optimal precision for each parameter individually In this case, the QCRB matrix bound is generally not simultaneously saturable for all parameters [31,32,33]. The QCRB matrix bound is generally not simultaneously saturable for all parameters [31,32,33] This constraint motivates the search for tighter bounds that can be realized for practical applications of multiparameter estimation theory. We generalize attainability constraints for simultaneous multiparameter estimation problems where the commonly used Cramér-Rao bounds cannot be saturated due to incompatibility. For more than two parameters, our method does not provide tight bounds but still outperforms the QCRB
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