most citedCrossing the 12,000-atom barrier with heterogeneous quantum-classical supercomputing: quantum chemistry of protein-ligand complexes

1 citations · 1 across the 6 of their papers we have counts for

collaborators

9 papers

quant-ph2026

Simultaneous Heisenberg-Limited Multiparameter Metrology via Indefinite Evolution

Hang Xu, Tailong Xiao, Ze Zheng +4

Quantum metrology achieves Heisenberg-limited precision in single-parameter estimation, but its multiparameter extension is fundamentally constrained by both parameter-encoding and…

quant-ph2026

Preserving Heisenberg-Limited Metrological Information during Storage via Correlated-Noise Correction

Hang Xu, Xue-Ke Song, Jingzheng Huang +2

Quantum error correction has become an indispensable tool for restoring Heisenberg-limited precision in noisy quantum metrology. Existing protocols, however, almost exclusively foc…

quant-ph2026

Observation of Improved Accuracy over Classical Sparse Ground-State Solvers using a Quantum Computer

William Kirby, Bibek Pokharel, Javier Robledo Moreno +25

Demonstrating quantum advantage over classical algorithms for ground state energy problems is an outstanding open problem in quantum computation. We experimentally demonstrate that…

quant-ph2026

Filter-assisted quantum subspace diagonalization via wavefunction sparsity engineering

Han Xu, Tomonori Shirakawa, Seiji Yunoki

Subspace diagonalization techniques based on quantum sampling, such as quantum selected configuration interaction (QSCI) and sample-based quantum diagonalization (SQD), have recent…

physics.optics2026

Accelerating ground state search of spatial photonic Ising machines with genetic-simulated annealing hybrid algorithm

Ze Zheng, Ruhui Ni, Jingyi Zhao +6

Spatial photonic Ising machines (SPIMs) based on spatial light modulators (SLMs) have emerged as highly effective solvers for many tasks, including combinatorial optimization probl…

quant-ph20261 cited

Crossing the 12,000-atom barrier with heterogeneous quantum-classical supercomputing: quantum chemistry of protein-ligand complexes

Kenneth M. Merz, Akhil Shajan, Danil Kaliakin +20

Ab initio wavefunction methods provide accurate molecular simulations but their computational scaling restricts applications to small systems. We develop a workflow combining quant…