3 papers
quant-ph2026
Structure-Aware Variance Reduction for Unbiased Randomized Hamiltonian Simulation
Joshua W. Dai, Fredrik Hasselgren, Chusei Kiumi
Randomized Hamiltonian simulation methods are often governed by a trade-off between systematic bias and sampling overhead. We study how classical variance-reduction techniques can…
quant-ph2026
Stratified Sampling for Quasi-Probability Decompositions
Joshua W. Dai, Bálint Koczor
Quasi-probability decompositions (QPDs) have proven essential in many quantum algorithms and protocols -- one replaces a ``difficult'' quantum circuit with an ensemble of ``easier'…
quant-ph2025
Chemically-Accurate Prediction of the Ionisation Potential of Helium Using a Quantum Processor
Manolo C. Per, Nathan Rhodes, Maiyuren Srikumar +1
Quantum computers have the potential to revolutionise our understanding of the microscopic behaviour of materials and chemical processes by enabling high-accuracy electronic struct…