activity
20152021
most citedQuantum circuits with many photons on a programmable nanophotonic chip

551 citations · 1.1k across the 19 of their papers we have counts for

collaborators

20 papers

quant-ph2021★ 49 cited

Jet: Fast quantum circuit simulations with parallel task-based tensor-network contraction

Trevor Vincent, Lee J. O'Riordan, Mikhail Andrenkov +4

We introduce a new open-source software library Jet, which uses task-based parallelism to obtain speed-ups in classical tensor-network simulations of quantum circuits. These speed-…

quant-ph2021★ 4 cited

Mitigating linear optics imperfections via port allocation and compilation

Shreya P. Kumar, Leonhard Neuhaus, Lukas G. Helt +4

Linear optics is a promising route to building quantum technologies that operate at room temperature and can be manufactured scalably on integrated photonic platforms. However, sca…

quant-ph2021★ 551 cited

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…

quant-ph2021★ 113 cited

Quantum Computational Advantage via High-Dimensional Gaussian Boson Sampling

Abhinav Deshpande, Arthur Mehta, Trevor Vincent +10

Photonics is a promising platform for demonstrating a quantum computational advantage (QCA) by outperforming the most powerful classical supercomputers on a well-defined computatio…

quant-ph2020

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…

quant-ph2020★ 1 cited

Efficient sampling from shallow Gaussian quantum-optical circuits with local interactions

Haoyu Qi, Diego Cifuentes, Kamil Brádler +3

We prove that a classical computer can efficiently sample from the photon-number probability distribution of a Gaussian state prepared by using an optical circuit that is shallow a…