1 citations · 1 across the 8 of their papers we have counts for
10 papers
Spectral truncations of SU(2) and the spectral localizer
Matt Verhoeven
We study operator systems arising from Peter-Weyl and Dirac spectral truncations of in the sense of Connes-Van Suijlekom. We determine operator system invariants f…
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…
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…
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…
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…
Crossing the 12,000-atom barrier with heterogeneous quantum-classical supercomputing: quantum chemistry of protein-ligand complexes
Kenneth M. Merz, Akhil Shajan, Danil Kaliakin +21
We develop a workflow decomposing a molecule into fragments via quantum embedding and simulating them with a heterogeneous quantum-classical (HQC) method. We sample fragment electr…
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…
Noise-Resilient Heisenberg-limited Quantum Sensing via Indefinite-Causal-Order Error Correction
Hang Xu, Xiaoyang Deng, Ze Zheng +2
Quantum resources can, in principle, enable Heisenberg-limited (HL) sensing, yet no-go theorems imply that HL scaling is generically unattainable in realistic noisy devices. While…
Learning to Restore Heisenberg Limit in Noisy Quantum Sensing via Quantum Digital Twin
Hang Xu, Tailong Xiao, Jingzheng Huang +2
Quantum sensors leverage nonclassical resources to achieve sensing precision at the Heisenberg limit, surpassing the standard quantum limit attainable through classical strategies.…
Towards Heisenberg limit without critical slowing down via quantum reinforcement learning
Hang Xu, Tailong Xiao, Jingzheng Huang +3
Critical ground states of quantum many-body systems have emerged as vital resources for quantum-enhanced sensing. Traditional methods to prepare these states often rely on adiabati…