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Gaussian Boson Sampling (GBS) is a near-term platform for photonic quantum computing.
1902
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Alberto Peruzzo, Jarrod McClean, Peter Shadbolt, Man-Hong Yung, Xiao-Qi Zhou, Peter J Love, Alán Aspuru-Guzik, and Jeremy L O’Brien, “A variational eigenvalue solver on a photonic quantum processor,” Nature Communications 5
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Kamil Brádler, Pierre-Luc Dallaire-Demers, Patrick Rebentrost, Daiqin Su, and Christian Weedbrook, “Gaussian boson sampling for perfect matchings of arbitrary graphs,” Physical Review A 98
2018
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Nicolás Quesada, Juan Miguel Arrazola, and Nathan Killoran, “Gaussian boson sampling using threshold detectors,” Physical Review A 98
2018
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Regina Kruse, Craig S Hamilton, Linda Sansoni, Sonja Barkhofen, Christine Silberhorn, and Igor Jex, “Detailed study of Gaussian boson sampling,” Physical Review A 100
2019
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Craig S. Hamilton, Regina Kruse, Linda Sansoni, Sonja Barkhofen, Christine Silberhorn, and Igor Jex, “Gaussian boson sampling,” Physical Review Letters 119
2017
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Joonsuk Huh and Man-Hong Yung, “Vibronic boson sampling: Generalized gaussian boson sampling for molecular vibronic spectra at finite temperature,” Scientific Reports 7
2017
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Juan Miguel Arrazola and Thomas R Bromley, “Using Gaussian boson sampling to find dense subgraphs,” Physical Review Letters 121
2018
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Juan Miguel Arrazola, Thomas R Bromley, and Patrick Rebentrost, “Quantum approximate optimization with Gaussian boson sampling,” Physical Review A 98
2018
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2018
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2018
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2018
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2019
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Maria Schuld and Nathan Killoran, “Quantum machine learning in feature Hilbert spaces,” Physical Review Letters 122
2019
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Vojtěch Havlíček, Antonio D Córcoles, Kristan Temme, Aram W Harrow, Abhinav Kandala, Jerry M Chow, and Jay M Gambetta, “Supervised learning with quantum-enhanced feature spaces,” Nature 567
2019
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2019
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Andreas Björklund, Brajesh Gupt, and Nicolás Quesada, “A faster hafnian formula for complex matrices and its benchmarking on a supercomputer,” Journal of Experimental Algorithmics (JEA) 24
2019
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N. Quesada, L. G. Helt, J. Izaac, J. M. Arrazola, R. Shahrokhshahi, C. R. Myers, and K. K. Sabapathy, “Simulating realistic non-Gaussian state preparation,” Physical Review A 100
2019
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2019
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Brajesh Gupt, Josh Izaac, and Nicolás Quesada, “The Walrus: a library for the calculation of hafnians, hermite polynomials and Gaussian boson sampling,” Journal of Open Source Software 4
2019
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Soran Jahangiri, Juan Miguel Arrazola, Nicolás Quesada, and Nathan Killoran, “Point processes with gaussian boson sampling,” Physical Review E 101
2020
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