Tensor lattice field theory for renormalization and quantum computing
Y Meurice, R Sakai, J Unmuth-Yockey - Reviews of modern physics, 2022 - APS
The successes and limitations of statistical sampling for a sequence of models studied in the
context of lattice QCD are discussed and the need for new methods to deal with finite …
context of lattice QCD are discussed and the need for new methods to deal with finite …
Preparation of the SU (3) lattice Yang-Mills vacuum with variational quantum methods
AN Ciavarella, IA Chernyshev - Physical Review D, 2022 - APS
Studying QCD and other gauge theories on quantum hardware requires the preparation of
physically interesting states. The variational quantum eigensolver provides a way of …
physically interesting states. The variational quantum eigensolver provides a way of …
Efficient representation for simulating U (1) gauge theories on digital quantum computers at all values of the coupling
CW Bauer, DM Grabowska - Physical Review D, 2023 - APS
We derive a representation for a lattice U (1) gauge theory with exponential convergence in
the number of states used to represent each lattice site that is applicable at all values of the …
the number of states used to represent each lattice site that is applicable at all values of the …
Simulating Heisenberg interactions in the Ising model with strong drive fields
The time evolution of an Ising model with large driving fields over discrete time intervals is
shown to be reproduced by an effective XXZ-Heisenberg model at leading order in the …
shown to be reproduced by an effective XXZ-Heisenberg model at leading order in the …
Phase diagram of generalized XY model using the tensor renormalization group
We use the higher-order tensor renormalization group method to study the two-dimensional
generalized XY model that admits integer and half-integer vortices. This model is the …
generalized XY model that admits integer and half-integer vortices. This model is the …
Simulating effective QED on quantum computers
In recent years simulations of chemistry and condensed materials has emerged as one of
the preeminent applications of quantum computing, offering an exponential speedup for the …
the preeminent applications of quantum computing, offering an exponential speedup for the …
Learning phase transitions from regression uncertainty: a new regression-based machine learning approach for automated detection of phases of matter
W Guo, L He - New Journal of Physics, 2023 - iopscience.iop.org
For performing regression tasks involved in various physics problems, enhancing the
precision or equivalently reducing the uncertainty of regression results is undoubtedly one of …
precision or equivalently reducing the uncertainty of regression results is undoubtedly one of …
Reanalysis of critical exponents for the model via a hydrodynamic approach to the functional renormalization group
F Murgana, A Koenigstein, DH Rischke - Physical Review D, 2023 - APS
We reanalyze some critical exponents of the O (N) model within the functional
renormalization group (FRG) approach in the local potential approximation (LPA). We use …
renormalization group (FRG) approach in the local potential approximation (LPA). We use …
Initial tensor construction and dependence of the tensor renormalization group on initial tensors
K Nakayama, M Schneider - Physical Review D, 2024 - APS
We propose a method to construct a tensor network representation of partition functions
without singular value decompositions nor series expansions. The approach is …
without singular value decompositions nor series expansions. The approach is …
Floquet engineering heisenberg from ising using constant drive fields for quantum simulation
The time-evolution of an Ising model with large driving fields over discrete time intervals is
shown to be reproduced by an effective XXZ-Heisenberg model at leading order in the …
shown to be reproduced by an effective XXZ-Heisenberg model at leading order in the …