17 citations · 46 across the 11 of their papers we have counts for
11 papers
Learning Midcircuit Measurement Backaction from Three Repeated Measurements
Chia-Tung Chu, Su-un Lee, Han Zheng +4
Accurate modeling of midcircuit measurements (MCMs) is essential for dynamic-circuit operations such as syndrome extraction, measurement-based reset, and the separation of state-pr…
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…
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 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…
Entanglement-enhanced learning of quantum processes at scale
Alireza Seif, Senrui Chen, Swarnadeep Majumder +6
Learning unknown processes affecting a quantum system reveals underlying physical mechanisms and enables suppression, mitigation, and correction of unwanted effects. Describing a g…
A generalized cycle benchmarking algorithm for characterizing mid-circuit measurements
Zhihan Zhang, Senrui Chen, Yunchao Liu +1
Mid-circuit measurements (MCMs) are crucial ingredients in the development of fault-tolerant quantum computation. While there have been rapid experimental progresses in realizing M…
Entanglement-enabled advantage for learning a bosonic random displacement channel
Changhun Oh, Senrui Chen, Yat Wong +8
We show that quantum entanglement can provide an exponential advantage in learning properties of a bosonic continuous-variable (CV) system. The task we consider is estimating a pro…
Universal Spreading of Conditional Mutual Information in Noisy Random Circuits
Su-un Lee, Changhun Oh, Yat Wong +2
We study the evolution of conditional mutual information in generic open quantum systems, focusing on one-dimensional random circuits with interspersed local noise. Unlike in noise…