Hong-Ye Hu

Interpretable Quantum Advantage in Neural Sequence Learning

2022 · arXiv (Cornell University)

Quantum neural networks have been widely studied in recent years, given their potential practical utility and recent results regarding their ability to efficiently express certain classical data. However, analytic results to date rely on assumptions …

Derandomized shallow shadows: Efficient Pauli learning with bounded-depth circuits

2024 · arXiv (Cornell University)

Efficiently estimating large numbers of non-commuting observables is an important subroutine of many quantum science tasks. We present the derandomized shallow shadows (DSS) algorithm for efficiently learning a large set of non-commuting observables, using shallow …