Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Stanisic, Stasja"'
Autor:
Clinton, Laura, Cubitt, Toby S., Garcia-Patron, Raul, Montanaro, Ashley, Stanisic, Stasja, Stroeks, Maarten
In this work we demonstrate the use of adapted classical phase retrieval algorithms to perform control-free quantum phase estimation. We eliminate the costly controlled time evolution and Hadamard test commonly required to access the complex time-ser
Externí odkaz:
http://arxiv.org/abs/2410.21517
Autor:
Montanaro, Ashley, Stanisic, Stasja
Variational Monte Carlo (VMC) methods are used to sample classically from distributions corresponding to quantum states which have an efficient classical description. VMC methods are based on performing a number of steps of a Markov chain starting wi
Externí odkaz:
http://arxiv.org/abs/2307.07719
Autor:
Stanisic, Stasja, Bosse, Jan Lukas, Gambetta, Filippo Maria, Santos, Raul A., Mruczkiewicz, Wojciech, O'Brien, Thomas E., Ostby, Eric, Montanaro, Ashley
The famous, yet unsolved, Fermi-Hubbard model for strongly-correlated electronic systems is a prominent target for quantum computers. However, accurately representing the Fermi-Hubbard ground state for large instances may be beyond the reach of near-
Externí odkaz:
http://arxiv.org/abs/2112.02025
Autor:
Montanaro, Ashley, Stanisic, Stasja
Noisy intermediate-scale quantum (NISQ) computers could solve quantum-mechanical simulation problems that are beyond the capabilities of classical computers. However, NISQ devices experience significant errors which, if not corrected, can render phys
Externí odkaz:
http://arxiv.org/abs/2102.02120
Autor:
Montanaro, Ashley, Stanisic, Stasja
The Fermi-Hubbard model is a plausible target to be solved by a quantum computer using the variational quantum eigensolver algorithm. However, problem sizes beyond the reach of classical exact diagonalisation are also beyond the reach of current quan
Externí odkaz:
http://arxiv.org/abs/2006.01179
Publikováno v:
Phys. Rev. B 102, 235122 (2020)
The Fermi-Hubbard model is of fundamental importance in condensed-matter physics, yet is extremely challenging to solve numerically. Finding the ground state of the Hubbard model using variational methods has been predicted to be one of the first app
Externí odkaz:
http://arxiv.org/abs/1912.06007
Autor:
Stanisic, Stasja, Turner, Peter S.
Publikováno v:
Phys. Rev. A 98, 043839 (2018)
Particle distinguishability is a significant challenge for quantum technologies, in particular photonics where the Hong-Ou-Mandel (HOM) effect clearly demonstrates it is detrimental to quantum interference. We take a representation theoretic approach
Externí odkaz:
http://arxiv.org/abs/1806.01236
Publikováno v:
Phys. Rev. A 96, 043861 (2017)
Entanglement is the basic building block of linear optical quantum computation, and as such understanding how to generate it in detail is of great importance for optical architectures. We prove that Bell states cannot be generated using only 3 photon
Externí odkaz:
http://arxiv.org/abs/1702.05209
Autor:
Sibson, Philip, Kennard, Jake E., Stanisic, Stasja, Erven, Chris, O'Brien, Jeremy L., Thompson, Mark G
Integrated photonics offers great potential for quantum communication devices in terms of complexity, robustness and scalability. Silicon photonics in particular is a leading platform for quantum photonic technologies, with further benefits of miniat
Externí odkaz:
http://arxiv.org/abs/1612.07236
Autor:
Adcock, Jeremy, Allen, Euan, Day, Matthew, Frick, Stefan, Hinchliff, Janna, Johnson, Mack, Morley-Short, Sam, Pallister, Sam, Price, Alasdair, Stanisic, Stasja
Here we discuss advances in the field of quantum machine learning. The following document offers a hybrid discussion; both reviewing the field as it is currently, and suggesting directions for further research. We include both algorithms and experime
Externí odkaz:
http://arxiv.org/abs/1512.02900