Back to Search Start Over

Quantum circuits with many photons on a programmable nanophotonic chip

Authors :
Arrazola, J. M.
Bergholm, V.
Brádler, K.
Bromley, T. R.
Collins, M. J.
Dhand, I.
Fumagalli, A.
Gerrits, T.
Goussev, A.
Helt, L. G.
Hundal, J.
Isacsson, T.
Israel, R. B.
Izaac, J.
Jahangiri, S.
Janik, R.
Killoran, N.
Kumar, S. P.
Lavoie, J.
Lita, A. E.
Mahler, D. H.
Menotti, M.
Morrison, B.
Nam, S. W.
Neuhaus, L.
Qi, H. Y.
Quesada, N.
Repingon, A.
Sabapathy, K. K.
Schuld, M.
Su, D.
Swinarton, J.
Száva, A.
Tan, K.
Tan, P.
Vaidya, V. D.
Vernon, Z.
Zabaneh, Z.
Zhang, Y.
Source :
Nature, 591, 54-60 (2021)
Publication Year :
2021

Abstract

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 photonic quantum computers have been limited either to non-deterministic operation, low photon numbers and rates, or fixed random gate sequences. Here we introduce a full-stack hardware-software system for executing many-photon quantum circuits using integrated nanophotonics: a programmable chip, operating at room temperature and interfaced with a fully automated control system. It enables remote users to execute quantum algorithms requiring up to eight modes of strongly squeezed vacuum initialized as two-mode squeezed states in single temporal modes, a fully general and programmable four-mode interferometer, and genuine photon number-resolving readout on all outputs. Multi-photon detection events with photon numbers and rates exceeding any previous quantum optical demonstration on a programmable device are made possible by strong squeezing and high sampling rates. We verify the non-classicality of the device output, and use the platform to carry out proof-of-principle demonstrations of three quantum algorithms: Gaussian boson sampling, molecular vibronic spectra, and graph similarity.

Subjects

Subjects :
Quantum Physics

Details

Database :
arXiv
Journal :
Nature, 591, 54-60 (2021)
Publication Type :
Report
Accession number :
edsarx.2103.02109
Document Type :
Working Paper
Full Text :
https://doi.org/10.1038/s41586-021-03202-1