collaborators

16 papers

quant-ph2026

Resolving Structure in Prethermal Floquet Dynamics with Precision Quantum Computation

Eyal Leviatan, Tasneem Watad, Roy Perry +38

Periodically driven interacting quantum many-body systems can exhibit long-lived prethermal dynamics, where local observables retain coherent structure even as entanglement and ope…

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…

quant-ph2026

Noise and Configuration Recovery Impact on Quantum Selected Configuration Interaction

Nonia Vaquero-Sabater, Abel Carreras, Lukas Broers +3

Quantum-selected configuration interaction (QSCI) is a promising hybrid quantum-classical approach in which a quantum device generates configurations for subsequent classical diago…

quant-ph2026

High-Precision Variational Quantum SVD via Classical Orthogonality Correction

Shohei Miyakoshi, Takanori Sugimoto, Tomonori Shirakawa +2

Evaluating the entanglement spectrum is essential for characterizing exotic quantum phases such as quantum criticality and topological order. However, for large quantum many-body s…

quant-ph2026

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…