551 citations · 1.3k across the 37 of their papers we have counts for
7 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…
Exact simulation of Gaussian Boson Sampling in polynomial space and exponential time
Nicolás Quesada, Juan Miguel Arrazola
We introduce an exact classical algorithm for simulating Gaussian Boson Sampling (GBS). The complexity of the algorithm is exponential in the number of photons detected, which is i…
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 algorithms in practice
Juan Miguel Arrazola, Alain Delgado, Bhaskar Roy Bardhan +1
We study the practical performance of quantum-inspired algorithms for recommendation systems and linear systems of equations. These algorithms were shown to have an exponential asy…
Simulating realistic non-Gaussian state preparation
N. Quesada, L. G. Helt, J. Izaac +4
We consider conditional photonic non-Gaussian state preparation using multimode Gaussian states and photon-number-resolving detectors in the presence of photon loss. While simulati…
Molecular Docking with Gaussian Boson Sampling
Leonardo Banchi, Mark Fingerhuth, Tomas Babej +2
Gaussian Boson Samplers are photonic quantum devices with the potential to perform tasks that are intractable for classical systems. As with other near-term quantum technologies, a…