Reshaping Metrology with Quantum Information Processing

Quantum information methods can improve the design of precision sensors. This talk first uses error correction to distinguish suppressible noise from disturbances inseparable from the signal, extending from individual qubits to collective and distributed sensing. It then applies ideas from tomography, certification and purification to estimating several parameters at once. The proposed measurement protocols address incompatible observables while seeking practical implementation and near-optimal sensitivity.