551 citations · 1k across the 6 of their papers we have counts for
24 papers
A practical overview of image classification with variational tensor-network quantum circuits
Diego Guala, Shaoming Zhang, Esther Cruz +3
Circuit design for quantum machine learning remains a formidable challenge. Inspired by the applications of tensor networks across different fields and their novel presence in the…
Quantum circuits with many photons on a programmable nanophotonic chip
J. M. Arrazola, V. Bergholm, K. Brádler +36
Growing interest in quantum computing for practical applications has led to a surge in the availability of programmable machines for executing quantum algorithms. Present day photo…
Quantum Algorithm for Simulating Single-Molecule Electron Transport
Soran Jahangiri, Juan Miguel Arrazola, Alain Delgado
An accurate description of electron transport at a molecular level requires a precise treatment of quantum effects. These effects play a crucial role in determining the electron tr…
Quadratic speedup for simulating Gaussian boson sampling
Nicolás Quesada, Rachel S. Chadwick, Bryn A. Bell +4
We introduce an algorithm for the classical simulation of Gaussian boson sampling that is quadratically faster than previously known methods. The complexity of the algorithm is exp…
Training Gaussian Boson Sampling Distributions
Leonardo Banchi, Nicolás Quesada, Juan Miguel Arrazola
Gaussian Boson Sampling (GBS) is a near-term platform for photonic quantum computing. Applications have been developed which rely on directly programming GBS devices, but the abili…
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…