4 papers
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…
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…
Worst-case Error Bounds for Online Learning of Smooth Functions
Weian Xie
Online learning is a model of machine learning where the learner is trained on sequential feedback. We investigate worst-case error for the online learning of real functions that h…
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,…