Nicolás Quesada

13 papers Journal 13
YearRankTypeTitle / Venue / Authors
2024 J jnl
Photon-number moments and cumulants of Gaussian states.
Quantum
Yanic Cardin, Nicolás Quesada
2023 J jnl
Classical models may be a better explanation of the Jiuzhang 1.0 Gaussian Boson Sampler than its targeted squeezed light model.
Quantum
Javier Martínez-Cifuentes, K. M. Fonseca-Romero, Nicolás Quesada
2022 J jnl
The Complexity of Bipartite Gaussian Boson Sampling.
Quantum
Daniel Grier, Daniel J. Brod, Juan Miguel Arrazola, Marcos Benicio de Andrade Alonso, Nicolás Quesada
2022 J jnl
Universal quantum circuits for quantum chemistry.
Quantum
Juan Miguel Arrazola, Olivia Di Matteo, Nicolás Quesada, Soran Jahangiri, Alain Delgado, Nathan Killoran
2021 J jnl
Exact and approximate continuous-variable gate decompositions.
Quantum
Timjan Kalajdzievski, Nicolás Quesada
2021 J jnl
The Complexity of Bipartite Gaussian Boson Sampling.
CoRR
Daniel Grier, Daniel J. Brod, Juan Miguel Arrazola, Marcos Benicio de Andrade Alonso, Nicolás Quesada
2020 J jnl
Classical benchmarking of Gaussian Boson Sampling on the Titan supercomputer.
Quantum Inf. Process.
Brajesh Gupt, Juan Miguel Arrazola, Nicolás Quesada, Thomas R. Bromley
2020 J jnl
Fast optimization of parametrized quantum optical circuits.
Quantum
Filippo M. Miatto, Nicolás Quesada
2019 J jnl
A Faster Hafnian Formula for Complex Matrices and Its Benchmarking on a Supercomputer.
ACM J. Exp. Algorithmics
Andreas Björklund, Brajesh Gupt, Nicolás Quesada
2019 J jnl
Strawberry Fields: A Software Platform for Photonic Quantum Computing.
Quantum
Nathan Killoran, Josh A. Izaac, Nicolás Quesada, Ville Bergholm, Matthew Amy, Christian Weedbrook
2019 J jnl
The Walrus: a library for the calculation of hafnians, Hermite polynomials and Gaussian boson sampling.
J. Open Source Softw.
Brajesh Gupt, Josh A. Izaac, Nicolás Quesada
2018 J jnl
A faster hafnian formula for complex matrices and its benchmarking on the Titan supercomputer.
CoRR
Andreas Björklund, Brajesh Gupt, Nicolás Quesada
2018 J jnl
Continuous-variable quantum neural networks.
CoRR
Nathan Killoran, Thomas R. Bromley, Juan Miguel Arrazola, Maria Schuld, Nicolás Quesada, Seth Lloyd