collaborators

5 papers

quant-ph2026

GPU-Accelerated Host-Aware Dead-Measurement Detection in Hybrid Quantum--Classical Programs: Full Version

Yanbin Chen, Qunyou Liu, Yu Wang +2

Hybrid programs combine a quantum circuit with a classical host program that consumes measurement outcomes. In such programs, an outcome may be syntactically read by the host but s…

quant-ph2026

A Quantum Algorithm with Polylogarithmic Depth per Trotter Step for the Extended Hubbard Model

Yu Wang, Martina Nibbi, Maxine Luo +4

The extended Hubbard model on a two-dimensional lattice captures key physical phenomena, but its simulation remains challenging because long-range interactions give rise to a large…

physics.chem-ph2026

Efficient Auxiliary-Field Quantum Monte Carlo using Isometric Tensor Hypercontraction

Maxine Luo, Victor Chen, Yu Wang +1

Auxiliary Field Quantum Monte Carlo (AFQMC) has emerged as a powerful framework for treating strongly correlated electronic systems, offering a favorable balance between computatio…

cond-mat.str-el2025

An Accurate Lanczos Method for the Matrix Product State Representation

Yu Wang, Zhangyu Yang, Xingyao Wu +1

We improve the convergence of the Lanczos algorithm using the matrix product state representation. As an alternative to the density matrix renormalization group (DMRG), the Lanczos…

cond-mat.str-el2025

Enhanced Krylov Methods for Molecular Hamiltonians: Reduced Memory Cost and Complexity Scaling via Tensor Hypercontraction

Yu Wang, Maxine Luo, Matthias Reumann +1

We introduce an algorithm that is simultaneously memory-efficient and low-scaling for applying ab initio molecular Hamiltonians to matrix-product states (MPS) via the tensor-hyperc…