Tensor networks for complex quantum systems
R Orús - Nature Reviews Physics, 2019 - nature.com
Originally developed in the context of condensed-matter physics and based on
renormalization group ideas, tensor networks have been revived thanks to quantum …
renormalization group ideas, tensor networks have been revived thanks to quantum …
Tensor network algorithms: A route map
MC Bañuls - Annual Review of Condensed Matter Physics, 2023 - annualreviews.org
Tensor networks provide extremely powerful tools for the study of complex classical and
quantum many-body problems. Over the past two decades, the increment in the number of …
quantum many-body problems. Over the past two decades, the increment in the number of …
Doubling the size of quantum simulators by entanglement forging
Quantum computers are promising for simulations of chemical and physical systems, but the
limited capabilities of today's quantum processors permit only small, and often approximate …
limited capabilities of today's quantum processors permit only small, and often approximate …
Recurrent neural network wave functions
A core technology that has emerged from the artificial intelligence revolution is the recurrent
neural network (RNN). Its unique sequence-based architecture provides a tractable …
neural network (RNN). Its unique sequence-based architecture provides a tractable …
The density matrix renormalization group in chemistry and molecular physics: Recent developments and new challenges
In the past two decades, the density matrix renormalization group (DMRG) has emerged as
an innovative new method in quantum chemistry relying on a theoretical framework very …
an innovative new method in quantum chemistry relying on a theoretical framework very …
A practical introduction to tensor networks: Matrix product states and projected entangled pair states
R Orús - Annals of physics, 2014 - Elsevier
This is a partly non-technical introduction to selected topics on tensor network methods,
based on several lectures and introductory seminars given on the subject. It should be a …
based on several lectures and introductory seminars given on the subject. It should be a …
[图书][B] Tensor network contractions: methods and applications to quantum many-body systems
Tensor network is a fundamental mathematical tool with a huge range of applications in
physics, such as condensed matter physics, statistic physics, high energy physics, and …
physics, such as condensed matter physics, statistic physics, high energy physics, and …
Neural-network quantum states, string-bond states, and chiral topological states
I Glasser, N Pancotti, M August, ID Rodriguez, JI Cirac - Physical Review X, 2018 - APS
Neural-network quantum states have recently been introduced as an Ansatz for describing
the wave function of quantum many-body systems. We show that there are strong …
the wave function of quantum many-body systems. We show that there are strong …
[图书][B] Quantum Monte Carlo Methods
J Gubernatis, N Kawashima, P Werner - 2016 - books.google.com
Featuring detailed explanations of the major algorithms used in quantum Monte Carlo
simulations, this is the first textbook of its kind to provide a pedagogical overview of the field …
simulations, this is the first textbook of its kind to provide a pedagogical overview of the field …
Many-body magic via pauli-markov chains—from criticality to gauge theories
We introduce a method to measure many-body magic in quantum systems based on a
statistical exploration of Pauli strings via Markov chains. We demonstrate that sampling such …
statistical exploration of Pauli strings via Markov chains. We demonstrate that sampling such …