28 citations · 86 across the 5 of their papers we have counts for
10 papers
Adaptive pruning-based optimization of parameterized quantum circuits
Sukin Sim, Jonathan Romero, Jerome F. Gonthier +1
Variational hybrid quantum-classical algorithms are powerful tools to maximize the use of Noisy Intermediate Scale Quantum devices. While past studies have developed powerful and e…
Noise robustness and experimental demonstration of a quantum generative adversarial network for continuous distributions
Abhinav Anand, Jonathan Romero, Matthias Degroote +1
The potential advantage of machine learning in quantum computers is a topic of intense discussion in the literature. Theoretical, numerical and experimental explorations will most…
An application benchmark for fermionic quantum simulations
Pierre-Luc Dallaire-Demers, Michał Stęchły, Jerome F. Gonthier +3
It is expected that the simulation of correlated fermions in chemistry and material science will be one of the first practical applications of quantum processors. Given the rapid e…
Variational quantum generators: Generative adversarial quantum machine learning for continuous distributions
Jonathan Romero, Alan Aspuru-Guzik
We propose a hybrid quantum-classical approach to model continuous classical probability distributions using a variational quantum circuit. The architecture of the variational circ…
Quantum Chemistry in the Age of Quantum Computing
Yudong Cao, Jonathan Romero, Jonathan P. Olson +10
Practical challenges in simulating quantum systems on classical computers have been widely recognized in the quantum physics and quantum chemistry communities over the past century…
A framework for algorithm deployment on cloud-based quantum computers
Sukin Sim, Yudong Cao, Jonathan Romero +2
In recent years, the field of quantum computing has significantly developed in both the improvement of hardware as well as the assembly of various software tools and platforms, inc…