Zobrazeno 1 - 10
of 6 476
pro vyhledávání: '"Variational Monte Carlo"'
Chiral spin liquids, which break time-reversal symmetry, are of great interest due to their topological properties and fractionalized excitations (anyons). In this work, we investigate chiral spin liquids (CSL) on the kagome lattice arising from the
Externí odkaz:
http://arxiv.org/abs/2411.09542
Neural-network quantum states (NQS) offer a versatile and expressive alternative to traditional variational ans\"atze for simulating physical systems. Energy-based frameworks, like Hopfield networks and Restricted Boltzmann Machines, leverage statist
Externí odkaz:
http://arxiv.org/abs/2412.12398
We apply the variational Monte Carlo method based on neural network quantum states, using a neural autoregressive flow architecture as our ansatz, to determine the ground state wave function of the bosonic SU($N$) Yang-Mills-type two-matrix model at
Externí odkaz:
http://arxiv.org/abs/2409.00398
Autor:
Barthel, Thomas, Miao, Qiang
The multi-scale entanglement renormalization ansatz (MERA) is a hierarchical class of tensor network states motivated by the real-space renormalization group. It is used to simulate strongly correlated quantum many-body systems. For prominent MERA st
Externí odkaz:
http://arxiv.org/abs/2407.21006
Publikováno v:
Phys. Rev. Lett. 133, 096501 (2024)
Motivated by very recent experimental observations of the 1/9 magnetization plateaus in YCu$_3$(OH)$_{6+x}$Br$_{3-x}$ and YCu$_3$(OD)$_{6+x}$Br$_{3-x}$, our study delves into the magnetic field-induced phase transitions in the nearest-neighbor antife
Externí odkaz:
http://arxiv.org/abs/2407.20629
Autor:
Khachi, Anil, Balassa, Gabor
The Riccati-type nonlinear differential equation, also known as the Variable Phase Approach or Phase Function Method, is used to construct local inverse potentials for the \( ^3S_1 \) and \( ^1S_0 \) states of the deuteron. The Morse potential has be
Externí odkaz:
http://arxiv.org/abs/2407.02137
Publikováno v:
npj Quantum Mater. 9, 94 (2024)
We discuss the discovery by variational Monte Carlo (VMC) methods of a series of multinode quantum spin liquids (QSLs) in extended Kitaev models on the honeycomb lattice. Like the gapless Kitaev spin liquid with its two nodes at K and K$^\prime$, the
Externí odkaz:
http://arxiv.org/abs/2407.00333
The ground state of the bipartite $t$-$J$ model must satisfy a specific sign structure, based on which the single-hole and two-hole ground state $Ans\ddot{a}tze$ on honeycomb lattice are constructed and studied by a variational Monte Carlo (VMC) meth
Externí odkaz:
http://arxiv.org/abs/2406.16865
Autor:
Song, Yuntai
In this note, variational Monte Carlo method based on neural quantum states for spin systems is reviewed. Using a neural network as the wave function allows for a more generalized expression of various types of interactions, including highly non-loca
Externí odkaz:
http://arxiv.org/abs/2406.01017
Publikováno v:
Quantum 8, 1475 (2024)
We introduce a novel method of efficiently simulating the non-equilibrium steady state of large many-body open quantum systems with highly non-local interactions, based on a variational Monte Carlo optimization of a matrix product operator ansatz. Ou
Externí odkaz:
http://arxiv.org/abs/2405.12044