Zobrazeno 1 - 10
of 45
pro vyhledávání: '"Casares, P A M"'
Autor:
Baker, Jack S., Casares, Pablo A. M., Zini, Modjtaba Shokrian, Thik, Jaydeep, Banerjee, Debasish, Ling, Chen, Delgado, Alain, Arrazola, Juan Miguel
There is a pressing need for more accurate computational simulations of the opto-electronic properties of defects in materials to aid in the development of quantum sensing platforms. In this work, we explore how quantum computers could be effectively
Externí odkaz:
http://arxiv.org/abs/2405.13115
Recent experiments demonstrated quantum computational advantage in random circuit sampling and Gaussian boson sampling. However, it is unclear whether these experiments can lead to practical applications even after considerable research effort. On th
Externí odkaz:
http://arxiv.org/abs/2312.07658
Autor:
Casares, Pablo A. M., Baker, Jack S., Medvidovic, Matija, Reis, Roberto dos, Arrazola, Juan Miguel
Density functional theory (DFT) stands as a cornerstone method in computational quantum chemistry and materials science due to its remarkable versatility and scalability. Yet, it suffers from limitations in accuracy, particularly when dealing with st
Externí odkaz:
http://arxiv.org/abs/2309.15127
Autor:
Zini, Modjtaba Shokrian, Delgado, Alain, Reis, Roberto dos, Casares, Pablo A. M., Mueller, Jonathan E., Voigt, Arne-Christian, Arrazola, Juan Miguel
Publikováno v:
Quantum 7, 1049 (2023)
Ionic pseudopotentials are widely used in classical simulations of materials to model the effective potential due to the nucleus and the core electrons. Modeling fewer electrons explicitly results in a reduction in the number of plane waves needed to
Externí odkaz:
http://arxiv.org/abs/2302.07981
Publikováno v:
Classical and Quantum Gravity 40(4) 045001, 2023
After the first detection of a gravitational wave in 2015, the number of successes achieved by this innovative way of looking through the universe has not stopped growing. However, the current techniques for analyzing this type of events present a se
Externí odkaz:
http://arxiv.org/abs/2208.05506
Publikováno v:
Quantum Machine Intelligence 5, 2023
The efficient resolution of optimization problems is one of the key issues in today's industry. This task relies mainly on classical algorithms that present scalability problems and processing limitations. Quantum computing has emerged to challenge t
Externí odkaz:
http://arxiv.org/abs/2207.06462
Autor:
Delgado, Alain, Casares, Pablo A. M., Reis, Roberto dos, Zini, Modjtaba Shokrian, Campos, Roberto, Cruz-Hernández, Norge, Voigt, Arne-Christian, Lowe, Angus, Jahangiri, Soran, Martin-Delgado, M. A., Mueller, Jonathan E., Arrazola, Juan Miguel
Publikováno v:
Phys. Rev. A 106, 032428 (2022)
There is a pressing need to develop new rechargeable battery technologies that can offer higher energy storage, faster charging, and lower costs. Despite the success of existing methods for the simulation of battery materials, they can sometimes fall
Externí odkaz:
http://arxiv.org/abs/2204.11890
Publikováno v:
Quantum 6, 768 (2022)
Quantum Phase Estimation is one of the most useful quantum computing algorithms for quantum chemistry and as such, significant effort has been devoted to designing efficient implementations. In this article, we introduce TFermion, a library designed
Externí odkaz:
http://arxiv.org/abs/2110.05899
Publikováno v:
Quantum Science and Technology 7 025013, 2022
Predicting the 3D structure of proteins is one of the most important problems in current biochemical research. In this article, we explain how to combine recent deep learning advances with the well known technique of quantum walks applied to a Metrop
Externí odkaz:
http://arxiv.org/abs/2101.10279
Publikováno v:
New Journal of Physics, 2020
Adversarial attacks represent a serious menace for learning algorithms and may compromise the security of future autonomous systems. A theorem by Khoury and Hadfield-Menell (KH), provides sufficient conditions to guarantee the robustness of machine l
Externí odkaz:
http://arxiv.org/abs/1912.03283