7 papers · 1 filter
Agentic AI for Scientific Reasoning in Autonomous Quantum Sensing Experiments
Takuya Isogawa, Ryotaro Okabe, Nutdech Phadetsuwannukun +2
We implement an agentic AI workflow built around a large language model (LLM) agent for autonomous experiments with nitrogen-vacancy (NV) centers in diamond. NV centers are a widel…
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…
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…
Optimal Quantum Purity Amplification
Zhaoyi Li, Honghao Fu, Takuya Isogawa +2
Quantum purity amplification (QPA) provides a novel approach to counteracting the pervasive noise that degrades quantum states. We present the optimal QPA protocol for general quan…