3 papers
quant-ph2026
CutVQA: Co-Designing Circuit Cutting and Architecture Search for Scaling Variational Quantum Algorithms
Jun Wu, Jicun Li, Jiaqi Yang +2
Circuit cutting enables large quantum circuits to run on small NISQ devices, but it introduces an exponentially high sampling overhead. Here, we present CutVQA, a co-design framewo…
quant-ph2025
Active Learning with Variational Quantum Circuits for Quantum Process Tomography
Jiaqi Yang, Xiaohua Xu, Wei Xie
Quantum process tomography (QPT) is a fundamental tool for fully characterizing quantum systems. It relies on querying a set of quantum states as input to the quantum process. Prev…
cs.LG2025
Stability and Generalization of Quantum Neural Networks
Jiaqi Yang, Wei Xie, Xiaohua Xu
Quantum neural networks (QNNs) play an important role as an emerging technology in the rapidly growing field of quantum machine learning. While their empirical success is evident,…