Variational Optimization of Continuous Matrix Product States [PDF]
Physical Review Letters, 2022 Just as matrix product states represent ground states of one-dimensional quantum spin systems faithfully, continuous matrix product states (cMPS) provide faithful representations of the vacuum of interacting field theories in one spatial dimension. Unlike the quantum spin case however, for which the density matrix renormalization group and related ...
Benoît Tuybens +3 more
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Periodic Orbits, Entanglement, and Quantum Many-Body Scars in Constrained Models: Matrix Product State Approach. [PDF]
Physical Review Letters, 2018 We analyze quantum dynamics of strongly interacting, kinetically constrained many-body systems. Motivated by recent experiments demonstrating surprising long-lived, periodic revivals after quantum quenches in Rydberg atom arrays, we introduce a manifold ...
W. Ho +3 more
semanticscholar +1 more source
Heat current in non-Markovian open systems
New Journal of Physics, 2023 We generalize time-evolving matrix product operators method to nonequilibrium quantum transport problems. The nonequilibrium current is obtained via numerical differentiation of the generating functional which is represented as a tensor network.
Ruofan Chen
doaj +1 more source
Simulating non-equilibrium dynamics and finite temperature physics: efficient representations for matrix product states [PDF]
, 2021 Experimental advances have made it possible to realize and control quantum many-body systems, allowing the experimental study of non-equilibrium phenomena.
Kohn, Lucas
core
Solid State NMR Spectroscopy a Valuable Technique for Structural Insights of Advanced Thin Film Materials: A Review [PDF]
, 2021 Solid-state NMR has proven to be a versatile technique for studying the chemical structure, 3D structure and dynamics of all sorts of chemical compounds.
Khaled O. Sebakhy +6 more
core +1 more source
Low scaling excited state calculation using block interaction product state
, 2021 We develop an automatic and efficient scheme for the accurate construction of the bases for excitonic models, which can enable "black-box" excited state structure calculations for large molecular systems. These new and optimized bases, which are named as
Haibo, Ma, Ke, Wang
core +1 more source
Solid-State NMR Spectroscopy: Towards Structural Insights into Starch-Based Materials in the Food Industry [PDF]
, 2022 Solid-state NMR is a nondestructive and noninvasive technique used to study the chemical structure and dynamics of starch-based materials and to bridge the gap between structure–function relationships and industrial applications.
Abduljawad, Marwan M. +18 more
core +1 more source
Language as a matrix product state
CoRR, 2017 We propose a statistical model for natural language that begins by considering language as a monoid, then representing it in complex matrices with a compatible translation invariant probability measure. We interpret the probability measure as arising via the Born rule from a translation invariant matrix product state.
Vasily Pestun +2 more
openaire +2 more sources
Entanglement classification with matrix product states [PDF]
Scientific Reports, 2016 AbstractWe propose an entanglement classification for symmetric quantum states based on their diagonal matrix-product-state (MPS) representation. The proposed classification, which preserves the stochastic local operation assisted with classical communication (SLOCC) criterion, relates entanglement families to the interaction length of Hamiltonians. In
M. Sanz +5 more
openaire +3 more sources
Probabilistic Modeling with Matrix Product States [PDF]
Entropy, 2019 Inspired by the possibility that generative models based on quantum circuits can provide a useful inductive bias for sequence modeling tasks, we propose an efficient training algorithm for a subset of classically simulable quantum circuit models.
James Stokes, John Terilla
openaire +2 more sources