From the 1 of 14 linked papers with an AI index.
14 papers
Near-optimal quantum metrology with few-qubit measurements
Liang Mao, Senrui Chen, Hsin-Yuan Huang +2
Quantum metrology, which addresses parameter estimation in quantum systems, has broad applications across science and technology. Conventional metrology protocols for multi-qubit s…
Optimal tomography of bosonic and fermionic Gaussian states
Senrui Chen, Marco Fanizza, Filippo Girardi +4
The paper determines the exact sample complexity for learning bosonic and fermionic Gaussian quantum states, showing that a number of copies scaling quadratically with the number o…
Learning Mid-circuit Measurement Backaction from Three Repeated Measurements
Chia-Tung Chu, Su-un Lee, Han Zheng +4
Accurate modeling of mid-circuit measurements (MCMs) is essential for dynamic-circuit operations such as syndrome extraction, measurement-based reset, and the separation of state-p…
Disambiguating Pauli noise in quantum computers
Edward H. Chen, Senrui Chen, Laurin E. Fischer +7
To successfully perform quantum computations, it is often necessary to first accurately characterize the noise in the underlying hardware. However, it is well known that fundamenta…
Towards sample-optimal learning of bosonic Gaussian quantum states
Senrui Chen, Francesco Anna Mele, Marco Fanizza +5
Continuous-variable systems enable key quantum technologies in computation, communication, and sensing. Bosonic Gaussian states emerge naturally in various such applications, inclu…
Efficient learning of logical noise from syndrome data
Han Zheng, Chia-Tung Chu, Senrui Chen +4
Characterizing errors in quantum circuits is essential for device calibration, yet detecting rare error events requires a large number of samples. This challenge is particularly se…