551 citations · 696 across the 10 of their papers we have counts for
6 papers · 1 filter
Applications of Near-Term Photonic Quantum Computers: Software and Algorithms
Thomas R. Bromley, Juan Miguel Arrazola, Soran Jahangiri +7
Gaussian Boson Sampling (GBS) is a near-term platform for photonic quantum computing. Recent efforts have led to the discovery of GBS algorithms with applications to graph-based pr…
Transfer learning in hybrid classical-quantum neural networks
Andrea Mari, Thomas R. Bromley, Josh Izaac +2
We extend the concept of transfer learning, widely applied in modern machine learning algorithms, to the emerging context of hybrid neural networks composed of classical and quantu…
Quantum Natural Gradient
James Stokes, Josh Izaac, Nathan Killoran +1
A quantum generalization of Natural Gradient Descent is presented as part of a general-purpose optimization framework for variational quantum circuits. The optimization dynamics is…
Point Processes with Gaussian Boson Sampling
Soran Jahangiri, Juan Miguel Arrazola, Nicolás Quesada +1
Random point patterns are ubiquitous in nature, and statistical models such as point processes, i.e., algorithms that generate stochastic collections of points, are commonly used t…
Quantum-inspired memory-enhanced stochastic algorithms
John Realpe-Gómez, Nathan Killoran
Stochastic models are highly relevant tools in science, engineering, and society. Recent work suggests emerging quantum computing technologies can substantially decrease the memory…
A Quantum Approximate Optimization Algorithm for continuous problems
Guillaume Verdon, Juan Miguel Arrazola, Kamil Brádler +1
We introduce a quantum approximate optimization algorithm (QAOA) for continuous optimization. The algorithm is based on the dynamics of a quantum system moving in an energy potenti…