5 papers
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…
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 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…
Quantum learning advantage on a scalable photonic platform
Zheng-Hao Liu, Romain Brunel, Emil E. B. Østergaard +12
Recent advancements in quantum technologies have opened new horizons for exploring the physical world in ways once deemed impossible. Central to these breakthroughs is the concept…
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…