Geometry of Tensor Networks and Tensor Invariants
Explore geometric aspects of tensor networks and invariants, focusing on their applications in mathematics and theoretical physics.
Quantum Simulation of Condensed Matter Using Trotterized Entanglement Renormalization
Explore quantum simulation of strongly-correlated matter using MERA-based variational quantum eigensolver. Learn about implementation on NISQ devices, gradient-based optimization, and experimental tests on ion-trap devices.
Tensor Networks and the Negative Sign Problem
Explore tensor networks and the negative sign problem in quantum systems, examining simulation challenges and correlation implications for systems with negative Hamiltonian entries.
Circuit-To-Hamiltonian Mapping Using Tensor Networks and Fault Tolerance
Explores novel circuit-to-Hamiltonian mapping using tensor networks, avoiding clock registers. Discusses implications for quantum complexity, fault tolerance, and the quantum PCP conjecture.
Synergy Between Quantum Circuits and Tensor Networks - IPAM at UCLA
Explore synergies between parametrized quantum circuits and tensor networks, addressing optimization challenges and enhancing performance in quantum computing applications.
Lower Bounding Ground State Energies Through Renormalization and Tensor Networks
Explore techniques for lower bounding ground state energies in quantum systems using renormalization and tensor networks, presented by Norbert Schuch from the University of Vienna.
Tensors, State-Sum Topological Field Theories and the Evaluation of Extruded Graphs
Explore three-dimensional topological field theories, tensor network models, and graph evaluations in relation to state-sum constructions and surface defects.
Condensation and Stability of Topological Order in Tensor Networks
Explore quantum topological order stability in tensor networks, focusing on connections to condensation of topological excitations and implications for 3D discrete gauge theories.
Thermalization of Quantum Memories - A Tensor Networks Approach
Explore thermalization of quantum memories using tensor networks, focusing on 2D Kitaev's quantum double models and their Gibbs state representation as PEPS.
An Effective Field Theory for Holographic Random Matchgate Tensor Networks
Explore effective field theory for random matchgate tensor networks, analyzing phase transitions and topological connections in 2D systems with open physical boundaries.
Tensor Network Methods and Large Deviations in Stochastic Dynamics
Explore tensor network methods for studying fluctuations in stochastic systems, covering long-time statistics, rare event sampling, finite-time extensions, and symmetry protected topological phases in dynamical LDs.
Entanglement Transitions in Tree Tensor Networks
Explore entanglement transitions in tree tensor networks, delving into mathematical structures and novel algorithms in quantum information theory.
New Ideas on Tensor Networks for Entanglement in Quantum Many-Body Systems
Explore new applications of tensor networks in quantum systems, including random networks, material properties, and learning tasks. Gain insights into capturing entanglement and analyzing complex quantum phenomena.
General Distributed Framework for Contraction of Sparse Tensor with Tensor Network
Optimize sparse tensor contractions with efficient loop nests and distributed-memory parallelization for improved performance in tensor decomposition and completion tasks.
Tensor Networks and Neural Network States - From Chiral Topological Order to Image Classification
Explore neural networks in quantum physics and image recognition, bridging manybody physics with machine learning for innovative applications in various fields.
Bridging Deep Learning and Many-Body Quantum Physics via Tensor Networks
Explore connections between deep learning and quantum physics through tensor networks, examining architectures, entanglement measures, and information flow in neural networks.
Tensor Network for Quantum Error Correction - JuliaCon 2024
Explore tensor network-based quantum error correction and its implementation in Julia, featuring the TensorQEC.jl package for protecting quantum information from errors.
Large Deviations and Large Biasing of Ground State Entanglement Entropy
Explore large deviations in charge resolved entanglement entropy, examining universal tail structures and their implications for ground state properties in many-body systems.
Gauged Gaussian Fermionic PEPS: A Tool for Studying Lattice Gauge Theories
Explore lattice gauge theories using Gauged Gaussian Fermionic PEPS, a tensor network method for efficient numerical computations without sign problems in multiple space dimensions.
A Canonical Form for Tensor Networks
Découvrez une forme canonique pour les réseaux de tenseurs, basée sur la théorie des invariants géométriques. Explorez ses applications potentielles, notamment pour améliorer la confidentialité dans l'apprentissage automatique.
On the Dimension of Tensor Network Varieties
Explorez les limites supérieures des variétés de réseaux de tenseurs, leurs cas d'atteinte et les exceptions notables dans cette présentation mathématique avancée.