3 papers
quant-ph2026
Generative Learning for Quantum Measurement Design
Jun Dai, Olivier Nahman-Lévesque, Guillaume Rabusseau +2
Extracting quantum information from a quantum state is a fundamental task of quantum computation, often requiring the estimation of many non-commuting observables under a finite me…
quant-ph2026
Computing Green's functions and improving ground state energy estimation on quantum computers with Liouvillian recursion
Jérôme Leblanc, Olivier Nahman-Lévesque, Julien Forget +3
We present a quantum-classical hybrid implementation of the Liouvillian recursion method to compute many-body Green's functions using a quantum computer. From an approximate ground…
cs.LG2024
QuaCK-TSF: Quantum-Classical Kernelized Time Series Forecasting
Abdallah Aaraba, Soumaya Cherkaoui, Ola Ahmad +4
Forecasting in probabilistic time series is a complex endeavor that extends beyond predicting future values to also quantifying the uncertainty inherent in these predictions. Gauss…