2 papers
quant-ph2026
Reducing quantum measurements in qubit-based overlapping grouping methods for quantum energy estimation through better initializations
Isaac L. Huidobro-Meezs, Rodrigo A. Vargas-Hernández
The measurement cost for estimating expectation values of Hamiltonians is a central bottleneck in variational quantum algorithms. Grouping strategies significantly reduce this cost…
quant-ph2026
Discrete Flow-Based Generative Models for Measurement Optimization in Quantum Computing
Isaac L. Huidobro-Meezs, Jun Dai, Rodrigo A. Vargas-Hernández
Achieving chemical accuracy in quantum simulations is often constrained by the measurement bottleneck: estimating operators requires a large number of shots, which remains costly e…