Learning Quantum Processes with Quantum Statistical Queries

arXiv:2310.02075v2 Announce Type: replace-cross
Abstract: Learning complex quantum processes is a central challenge in many areas of quantum computing and quantum machine learning, with applications in quantum benchmarking, cryptanalysis, and variational quantum algorithms. This paper introduces the first learning framework for studying quantum process learning within the Quantum Statistical Query (QSQ) model, providing the first formal definition of statistical queries to quantum processes (QPSQs). The framework allows us to propose an efficient QPSQ learner for arbitrary quantum processes accompanied by …

abstract algorithms applications arxiv benchmarking challenge computing cs.cc cs.lg framework machine machine learning paper process processes quant-ph quantum quantum computing query statistical studying type