9 citations · 9 across the 7 of their papers we have counts for
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Optimal Strategies for Multi-parameter Quantum Metrology
Linxuan Li, Zihao Hu, Longyun Chen +2
Estimating multiple unknown parameters simultaneously is essential for practical quantum sensing. However, it faces a fundamental challenge: the optimal strategy for estimating one…
Approaching the Limit in Multiparameter AC Magnetometry with Quantum Control
Takuya Isogawa, Zhiyao Hu, Ayumi Kanamoto +9
Simultaneously estimating multiple parameters at the ultimate limit is a central challenge in quantum metrology, often hindered by inherent incompatibilities in optimal estimation…
Optimal Control of Coupled Sensor-Ancilla Qubits for Multiparameter Estimation
Ayumi Kanamoto, Takuya Isogawa, Shunsuke Nishimura +2
Designing optimal control for multiparameter quantum sensing is essential for approaching the ultimate precision limits. However, analytical solutions are generally available only…
Optimal scheme for distributed quantum metrology
Zhiyao Hu, Allen Zang, Jianwei Wang +4
Optimal strategies for local quantum metrology -- including the preparation of optimal probe states, implementation of optimal control and measurement strategies, are well establis…
Entanglement-assisted multiparameter estimation with a solid-state quantum sensor
Takuya Isogawa, Guoqing Wang, Boning Li +5
Quantum multiparameter estimation promises to extend quantum advantage to the simultaneous high-precision measurements of multiple physical quantities. However, realizing this capa…
Control incompatibility in multiparameter quantum metrology
Zhiyao Hu, Shilin Wang, Linmu Qiao +6
In practical applications like quantum sensing and quantum imaging, there is often a necessity to estimate multiple parameters simultaneously. Although the ultimate precision limit…
Quantum multiparameter estimation enhanced by a topological phase transition
Yu Yang, Haidong Yuan, Fuli Li
In quantum multiparameter estimation, multiple to-be-estimated parameters are encoded in a quantum dynamics system by a unitary evolution. As the parameters vary, the system may un…