Quantum data access and quantum processing can make certain classically
...
Quantum process learning is emerging as an important tool to study quant...
Learning about physical systems from quantum-enhanced experiments, relyi...
Much attention has been paid to dynamical simulation and quantum machine...
Generalization bounds are a critical tool to assess the training data
re...
Modern quantum machine learning (QML) methods involve variationally
opti...
A large body of recent work has begun to explore the potential of
parame...
Machine learning researchers and practitioners steadily enlarge the mult...
In classical statistical learning theory, one of the most well studied
p...
We characterize the expressive power of quantum circuits with the
pseudo...
The problem of learning Boolean linear functions from quantum examples w...