Litcius/Paper detail

Optimal measurement of field properties with quantum sensor networks

Timothy Qian, Jacob Bringewatt, Igor Boettcher, Przemysław Bienias, Alexey V. Gorshkov

2021Physical review. A/Physical review, A23 citationsDOIOpen Access PDF

Abstract

We consider a quantum sensor network of qubit sensors coupled to a field $f(\mathbit{x};\mathbit{\ensuremath{\theta}})$ analytically parameterized by the vector of parameters $\mathbit{\ensuremath{\theta}}$. The qubit sensors are fixed at positions ${\mathbit{x}}_{1},\ensuremath{\cdots},{\mathbit{x}}_{d}$. While the functional form of $f(\mathbit{x};\mathbit{\ensuremath{\theta}})$ is known, the parameters $\mathbit{\ensuremath{\theta}}$ are not. We derive saturable bounds on the precision of measuring an arbitrary analytic function $q(\mathbit{\ensuremath{\theta}})$ of these parameters and construct the optimal protocols that achieve these bounds. Our results are obtained from a combination of techniques from quantum information theory and duality theorems for linear programming. They can be applied to many problems, including optimal placement of quantum sensors, field interpolation, and the measurement of functionals of parametrized fields.

Topics & Concepts

PhysicsParameterized complexityDuality (order theory)QuantumField (mathematics)QubitQuantum field theoryFunction (biology)Pure mathematicsMathematical physicsCombinatoricsQuantum mechanicsMathematicsEvolutionary biologyBiologyQuantum Information and CryptographyQuantum Computing Algorithms and ArchitectureQuantum Mechanics and Applications