3 citations · 5 across the 6 of their papers we have counts for
6 papers
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…
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…
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…
Quantum Information Approach to the Implementation of a Neutron Cavity
O. Nahman-Lévesque, D. Sarenac, D. G. Cory +2
Using the quantum information model of dynamical diffraction we consider a neutron cavity composed of two perfect crystal silicon blades capable of containing the neutron wavefunct…
Three-Dimensional Neutron Far-Field Tomography of a Bulk Skyrmion Lattice
M. E. Henderson, B. Heacock, M. Bleuel +10
Skyrmions are topologically-protected spin textures thought to nucleate and annihilate on points of vanishing magnetization, called Bloch points. However, owing to a lack of bulk t…
Generalizing the Quantum Information Model for Dynamic Diffraction
O. Nahman-Lévesque, D. Sarenac, D. G. Cory +3
The development of novel neutron optics devices that rely on perfect crystals and nano-scale features are ushering a new generation of neutron science experiments, from fundamental…