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Heisenberg-scaling measurement protocol for analytic functions with quantum sensor networks
Kevin Qian1,2,3, Zachary Eldredge1,2, Wenchao Ge4
1Joint Quantum Institute, NIST/University of Maryland, College Park, Maryland 20742, USA.
Entanglement in quantum sensor networks offers a significant O(d) improvement in estimating analytic functions of d parameters. This optimized protocol enhances precision for qubit sensors and has potential applications in quantum computing calibration.
Area of Science:
- Quantum Information Science
- Quantum Metrology
- Quantum Sensing
Background:
- Quantum sensor networks leverage quantum phenomena for enhanced measurement precision.
- Previous research established benefits of quantum entanglement in specific sensor network configurations.
- Analytic function estimation is crucial in various scientific and technological domains.
Purpose of the Study:
- To generalize entanglement benefits in quantum sensor networks for estimating analytic functions of multiple parameters.
- To determine the optimality of entanglement-assisted protocols for different quantum sensor types.
- To explore the applicability of the developed protocol to continuous variable measurements and practical applications.
Main Methods:
- Generalization of existing quantum sensor network models to accommodate 'd' input parameters.
- Analysis of entanglement's impact on the mean-squared error of function estimation.
- Derivation of an optimal protocol for qubit-based sensors and conjecture for photon-based sensors.
Main Results:
- Demonstrated an O(d) improvement in mean-squared error using entanglement for estimating analytic functions of 'd' parameters.
- Proved the optimality of the entanglement-assisted protocol for qubit sensors.
- Extended the protocol's applicability to continuous variable measurements and identified potential applications.
Conclusions:
- Entanglement provides a significant, parameter-dependent advantage in quantum sensor network precision.
- The developed protocol is optimal for qubit sensors and shows promise for photonic and continuous variable systems.
- Potential applications include enhancing laser calibration in trapped ion quantum computing.
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