Shuchen Zhu

Unified Architecture for Quantum Lookup Tables

2024 · arXiv (Cornell University)

Quantum access to arbitrary classical data encoded in unitary black-box oracles underlies interesting data-intensive quantum algorithms, such as machine learning or electronic structure simulation. The feasibility of these applications depends crucially on gate-efficient implementations of …

Accelerated Natural Gradient Method for Parametric Manifold Optimization

2025 · arXiv (Cornell University)

Parametric manifold optimization problems frequently arise in various machine learning tasks, where state functions are defined on infinite-dimensional manifolds. We propose a unified accelerated natural gradient descent (ANGD) framework to address these problems. By incorporating …