3 citations · 3 across the 5 of their papers we have counts for
5 papers
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…
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…
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…
Efficient simulation of quantum chemistry problems in an enlarged basis set
Maxine Luo, J. Ignacio Cirac
We propose a quantum algorithm to simulate the dynamics in quantum chemistry problems. It is based on adding fresh qubits at each Trotter step, which enables a simpler implementati…
Probing Off-diagonal Eigenstate Thermalization with Tensor Networks
Maxine Luo, Rahul Trivedi, Mari Carmen Bañuls +1
Energy filter methods in combination with quantum simulation can efficiently access the properties of quantum many-body systems at finite energy densities [Lu et al. PRX Quantum 2,…