Zobrazeno 1 - 10
of 91
pro vyhledávání: '"Araz, Jack y"'
We explore the application of quantum optimal control (QOC) techniques to state preparation of lattice field theories on quantum computers. As a first example, we focus on the Schwinger model, quantum electrodynamics in 1+1 dimensions. We demonstrate
Externí odkaz:
http://arxiv.org/abs/2407.17556
We study the preparation of thermal states of the dense and sparse Sachdev-Ye-Kitaev (SYK) model using a variational quantum algorithm for $6 \le N \le 12$ Majorana fermions over a wide range of temperatures. Utilizing IBM's 127-qubit quantum process
Externí odkaz:
http://arxiv.org/abs/2406.15545
Autor:
Araz, Jack Y., Buckley, Andy, Kasieczka, Gregor, Kieseler, Jan, Kraml, Sabine, Kvellestad, Anders, Lessa, Andre, Procter, Tomasz, Raklev, Are, Reyes-Gonzalez, Humberto, Rolbiecki, Krzysztof, Sekmen, Sezen, Unel, Gokhan
With the increasing usage of machine-learning in high-energy physics analyses, the publication of the trained models in a reusable form has become a crucial question for analysis preservation and reuse. The complexity of these models creates practica
Externí odkaz:
http://arxiv.org/abs/2312.14575
Publikováno v:
Phys. Rev. A, 109:062422, Jun 2024
This study investigates the thermal properties of the repulsive Fermi-Hubbard model with chemical potential using variational quantum algorithms, crucial in comprehending particle behaviour within lattices at high temperatures in condensed matter sys
Externí odkaz:
http://arxiv.org/abs/2312.09292
Autor:
Araz, Jack Y.
Publikováno v:
SciPost Phys. 16, 032 (2024)
Statistical models serve as the cornerstone for hypothesis testing in empirical studies. This paper introduces a new cross-platform Python-based package designed to utilise different likelihood prescriptions via a flexible plug-in system. This framew
Externí odkaz:
http://arxiv.org/abs/2307.06996
Publikováno v:
Eur. Phys. J. C 83 (2023) 664
High-momentum top quarks are a natural physical system in collider experiments for testing models of new physics, and jet substructure methods are key both to exploiting their largest decay mode and to assuaging resolution difficulties as the boosted
Externí odkaz:
http://arxiv.org/abs/2303.03427
Autor:
Araz, Jack Y., Spannowsky, Michael
Publikováno v:
Phys.Rev.A 108 (2023) 6, 062422
The Hamiltonian of an isolated quantum mechanical system determines its dynamics and physical behaviour. This study investigates the possibility of learning and utilising a system's Hamiltonian and its variational thermal state estimation for data an
Externí odkaz:
http://arxiv.org/abs/2211.03803
We determine the mass gap of a two-dimensional $O(3)$ nonlinear sigma model augmented with a topological $\theta$-term using tensor network and digital quantum algorithms. As proof of principle, we consider the example $\theta = \pi$ and study its cr
Externí odkaz:
http://arxiv.org/abs/2210.03679
Autor:
Araz, Jack Y., Buckley, Andy, Fuks, Benjamin, Reyes-Gonzalez, Humberto, Waltenberger, Wolfgang, Williamson, Sophie L., Yellen, Jamie
Publikováno v:
SciPost Phys. 14, 077 (2023)
To gain a comprehensive view of what the LHC tells us about physics beyond the Standard Model (BSM), it is crucial that different BSM-sensitive analyses can be combined. But in general, search analyses are not statistically orthogonal, so performing
Externí odkaz:
http://arxiv.org/abs/2209.00025
Publikováno v:
SciPost Phys. 14, 009 (2023)
The statistical combination of disjoint signal regions in reinterpretation studies uses more of the data of an analysis and gives more robust results than the single signal region approach. We present the implementation and usage of signal region com
Externí odkaz:
http://arxiv.org/abs/2206.14870