11 papers
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…
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…
Efficient benchmarking of logical magic state
Su-un Lee, Ming Yuan, Senrui Chen +2
High-fidelity logical magic states are a critical resource for fault-tolerant quantum computation, enabling non-Clifford logical operations through state injection. However, benchm…
Enhancing quantum noise characterization via extra energy levels
Senrui Chen, Akel Hashim, Noah Goss +3
Noise is a major challenge for building practical quantum computing systems. Precise characterization of quantum noise is crucial for developing effective error mitigation and corr…
Efficient self-consistent learning of gate set Pauli noise
Senrui Chen, Zhihan Zhang, Liang Jiang +1
Understanding quantum noise is an essential step towards building practical quantum information processing systems. Pauli noise is a useful model that has been widely applied in qu…