activity
20232026
most citedChemistry Beyond the Scale of Exact Diagonalization on a Quantum-Centric Supercomputer

91 citations · 101 across the 17 of their papers we have counts for

collaborators

18 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

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★ 1 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 +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…

quant-ph2026

Phase transitions in parametrized quantum circuits

Xiaoyang Wang, Han Xu, Lukas Broers +2

Phase transitions are among the most intriguing phenomena in physical systems, yet their behavior near criticality remain challenging to study using classical algorithms. Parameter…