Zobrazeno 1 - 10
of 41
pro vyhledávání: '"Barash, Lev"'
We derive exact, universal, closed-form quantum Monte Carlo estimators for finite temperature energy susceptibility and fidelity susceptibility for essentially arbitrary Hamiltonians. We demonstrate how our method can be used to study quantum phase t
Externí odkaz:
http://arxiv.org/abs/2408.03924
Publikováno v:
Phys. Rev. Research 6, 013281 (2024)
We present a universal parameter-free quantum Monte Carlo (QMC) algorithm designed to simulate arbitrary spin-$1/2$ Hamiltonians. To ensure the convergence of the Markov chain to equilibrium for every conceivable case, we devise a clear and simple au
Externí odkaz:
http://arxiv.org/abs/2307.06503
The canonical technique for Monte Carlo simulations in statistical physics is importance sampling via a suitably constructed Markov chain. While such approaches are quite successful, they are not particularly well suited for parallelization as the ch
Externí odkaz:
https://ul.qucosa.de/id/qucosa%3A84923
https://ul.qucosa.de/api/qucosa%3A84923/attachment/ATT-0/
https://ul.qucosa.de/api/qucosa%3A84923/attachment/ATT-0/
Publikováno v:
Eur. Phys. J. E 45, 24 (2022)
A model is developed for describing the transport of charged colloidal particles in an evaporating sessile droplet on the electrified metal substrate in the presence of a solvent flow. The model takes into account the electric charge of colloidal par
Externí odkaz:
http://arxiv.org/abs/2110.01306
Publikováno v:
Computer Physics Communications 271, 108219 (2022)
We introduce a method for calculating individual elements of matrix functions. Our technique makes use of a novel series expansion for the action of matrix functions on basis vectors that is memory efficient even for very large matrices. We showcase
Externí odkaz:
http://arxiv.org/abs/2107.14124
Publikováno v:
Phys. Rev. E 103, 053301 (2021)
Population annealing is a recent addition to the arsenal of the practitioner in computer simulations in statistical physics and beyond that is found to deal well with systems with complex free-energy landscapes. Above all else, it promises to deliver
Externí odkaz:
http://arxiv.org/abs/2102.06611
Autor:
Kolegov, Konstantin, Barash, Lev
Publikováno v:
Advances in Colloid and Interface Science, Volume 285, November 2020, 102271
This review covers experimental results of evaporative lithography and analyzes existing mathematical models of this method. Evaporating droplets and films are used in different fields, such as cooling of heated surfaces of electronic devices, diagno
Externí odkaz:
http://arxiv.org/abs/2005.07148
Publikováno v:
Comput. Phys. Commun. 254, 107385 (2020)
We introduce a method for calculating the divided differences of the exponential function by means of addition and removal of items from the input list to the function. Our technique exploits a new identity related to divided differences recently der
Externí odkaz:
http://arxiv.org/abs/1912.12157
Publikováno v:
New Journal of Physics 21, 113025 (2019)
The quantum adiabatic unstructured search algorithm is one of only a handful of quantum adiabatic optimization algorithms to exhibit provable speedups over their classical counterparts. With no fault tolerance theorems to guarantee the resilience of
Externí odkaz:
http://arxiv.org/abs/1904.04420
Autor:
Kolegov, Konstantin, Barash, Lev
Publikováno v:
Phys. Rev. E 100, 033304 (2019)
A simplified model is developed, which allows us to perform computer simulations of the particles transport in an evaporating droplet with a contact line pinned to a hydrophilic substrate. The model accounts for advection in the droplet, diffusion an
Externí odkaz:
http://arxiv.org/abs/1903.06003