Entanglement and Phases of Matter
Explore quantum entanglement's role in understanding phases of matter, with insights from Frank Verstraete on cutting-edge research in quantum information and condensed matter physics.
Entanglement Phase Transition and Holography on a Lattice
Explore entanglement phase transitions and holography on lattices with insights from SISSA Trieste researcher Zhao Zhang in this advanced physics seminar.
Advances in 2D Holography - Lecture 5
Explore advanced concepts in 2D holography, delving into cutting-edge research and theoretical developments in this field of physics and quantum mechanics.
Advances in 2D Holography - Lecture 4
Explore advanced concepts in 2D holography, focusing on recent developments and their implications for theoretical physics and quantum gravity.
Advances in 2D Holography - Lecture 3
Explore cutting-edge developments in 2D holography, delving into advanced concepts and recent breakthroughs in this fascinating field of physics and optics.
Understanding Quantum Spin Liquids on Triangular Lattice with Symmetry Breaking and Machine Learning
Explore quantum spin liquids on triangular lattices using symmetry breaking and machine learning techniques to uncover novel states of matter.
Drug Discovery Generative AI Using Tensor Network GPT or BERT
Explore generative AI applications in drug discovery using GPT and BERT models, focusing on ProtGPT2 for protein sequence generation and ProtBert for protein structure analysis.
TensorCircuit - A Quantum Software Framework for the NISQ Era
Explore TensorCircuit, an advanced quantum circuit simulator leveraging tensor networks and machine learning frameworks for enhanced quantum computing simulation and variational algorithms.
Shallow Shadows: Expectation Estimation Using Low-Depth Random Clifford Circuits
Explore quantum state measurement optimization through random Clifford circuits, focusing on efficient estimation techniques and practical applications in one-dimensional quantum systems.
Classical Simulation of Quantum Many-body Systems with Tensor Networks
Explore tensor networks for simulating quantum many-body systems, focusing on matrix product states and branching mirror techniques in quantum computation challenges.
Tropical Tensor Networks
Unified tensor network approach for spin glasses using tropical algebra, enabling ground state energy computation, optimal configuration identification, and solution counting. Combines graphical models and quantum circuit simulation.
Tensor Networks -QC-DMRG- in a Complete Active Space Coupled Cluster Method
Explore tensor networks in quantum mechanics, focusing on their application in coupled cluster methods for modeling strongly correlated systems and computing dynamical correlations.
Arithmetic Tensor Networks and Integration - IPAM at UCLA
Explore arithmetic tensor networks and their applications in function integration, with insights on exact and approximate contraction methods and their implications for various mathematical problems.
New Approaches in Simulation of Transition Paths - IPAM at UCLA
Explores tensor methods for simulating chemical transition processes, focusing on compressing high-dimensional PDE functions and introducing a novel tensor-network generative modeling approach without optimization.
Probing the Limits of Classical Computing with Arbitrarily Connected Quantum Circuits
Explore the computational gap between classical and quantum computers through random circuit sampling in highly connected geometries, focusing on limitations and potential improvements.
Certifying Almost All Quantum States with Few Single-Qubit Measurements
Innovative technique for certifying n-qubit states using O(n^2) single-qubit measurements, with applications in quantum system benchmarking and circuit optimization.
Quantum Lego - Constructing Quantum Error Correcting Codes Using Tensor Networks
Explore quantum error correction using tensor networks, constructing large codes from smaller ones and efficiently computing quantum weight enumerators for exact code distance determination.
Discreteness of Asymptotic Tensor Ranks
Explores discreteness in asymptotic tensor parameters, proving general theorems and new lower bounds for asymptotic subrank of tensors, with applications in algebraic complexity and quantum information.
Arbitrary Tensor Network Algorithm: Theory, Methods and Applications
Explore arbitrary tensor network algorithms for complex systems modeling, covering theory, methods, and applications in probabilistic graphical models and quantum circuit simulations.
News on Tensor Networks for Machine Learning and Quantum Computing Simulation
Explore recent advancements in tensor networks for enhancing machine learning and simulating quantum processors, covering deep neural networks, convolutional networks, and large language models.
Benchmarking NISQ and QEC Experiments with Tensor Networks
Explore tensor network applications in quantum computing, including optimized contraction schemes for NISQ experiments and a maximum-likelihood decoder for quantum error correction benchmarking.