#TensorNetworks
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jenseisert.bsky.social
Random #tensornetworks provide a powerful framework for probing and understanding complex quantum systems, especially in regimes where conventional tools fail. Here, we rigorously investigate dynamical properties of holographic toy models.

scirate.com/arxiv/2508.1...
August 25, 2025 at 3:55 AM
jenseisert.bsky.social
Variational #quantumalgorithms and classical variational methods, such as #tensornetworks, provide upper bounds on ground-state energies. This work provides guarantees for lower bounds.

journals.aps.org/pra/abstract...
February 17, 2026 at 5:47 PM
informaq.bsky.social
Optimal bounds for tensor network compression reveal minimal information needed to represent quantum evolution. Static systems require √log(1/ε) scaling; arbitrary driving raises to L^(2/3). Distinct Rényi entanglement structures emerge.

#QuantumSimulation #TensorNetworks #Research
Optimal Low-Rank Compression of Quantum Dynamics
iq.fp2.dev
September 24, 2026 at 3:17 AM
informaq.bsky.social
LETTA introduces leg-tied tensor networks that encode long-range correlations efficiently. Achieves accuracy of 10x larger calculations using identical parameters, enabling substantially more powerful quantum many-body simulations.

#TensorNetworks #QuantumSimulation #Research
Leg-Tied Tensor Network States: Entanglement Beyond Virtual Bonds
iq.fp2.dev
September 25, 2026 at 4:29 AM
informaq.bsky.social
Breakthrough quantum learning algorithm: efficiently learns low-bond-dimension quantum states from data without assuming the unknown state belongs to the model class, using compression and dynamic programming with polynomial complexity.

#QuantumLearning #TensorNetworks #Research
Proper Agnostic Learning of Matrix Product States and Tree Tensor Networks
arxiv.org
September 25, 2026 at 4:01 AM
jannesnys.bsky.social
I am thrilled to announce the "Challenges in Simulating Quantum Matter" workshop at ETH Zürich, 16-18 June 2025 🎉 Now accepting applications for talks and posters: csqm.org
@ethzurich.bsky.social
#NeuralQuantumStates #QuantumComputing #TensorNetworks #quantum
CSQM 2025
Understanding entangled quantum systems with many interacting particles is a major challenge in physics, crucial for discovering new phases of matter, designing advanced materials, and driving quantum...
csqm.org
February 15, 2025 at 1:57 PM
quantiki.bsky.social
‪
Check out this #Julia package MPSDynamics.jl to simulate open quantum systems with tensor networks

#TensorNetworks #QuantumSoftware
thibautlacroix.bsky.social Thibaut Lacroix @thibautlacroix.bsky.social · Feb 3
Want to simulate open quantum systems but don't know how?

Check out our #Julia package MPSDynamics.jl to simulate exactly finite temperature non-Markovian dynamics with bosonic, fermionic, and qubits environments (even several environments!) with tensor networks 🔵-🟣-🔴-🟠
github.com/shareloqs/MP...
GitHub - shareloqs/MPSDynamics.jl: Tensor network simulations for finite temperature, open quantum system dynamics
Tensor network simulations for finite temperature, open quantum system dynamics - shareloqs/MPSDynamics.jl
github.com
February 3, 2025 at 9:26 AM
informaq.bsky.social
Researchers achieve 30% error reduction in quantum simulations using distributed tensor networks across multiple smaller processors, advancing materials science and drug discovery applications.

#QuantumSimulation #TensorNetworks #News
Truncated Hybrid Tensor Networks for Distributed Quantum Simulation
iq.fp2.dev
September 19, 2026 at 10:54 AM
informaq.bsky.social
Novel sweep algorithm reduces dynamical expectation value estimation errors 2-3 orders of magnitude by jointly optimizing state and observable approximations, advancing quantum simulation efficiency.

#QuantumSimulation #TensorNetworks #Research
Joint State-Observable Approximation for Efficient Dynamical Expectation Estimation
arxiv.org
September 17, 2026 at 5:33 AM
balintpato.bsky.social
7/
PlanqTN is here.
Build quantum codes like LEGO.
Play, hack, and contribute.
🎥 youtu.be/TNnE3hReYVk
🌐 planqtn.com
🔗 github.com/planqtn/plan...
#QuantumComputing #QEC #OpenSource #QuantumLEGO #AItools #TensorNetworks #PlanqTN
PlanqTN intro
YouTube video by Bálint Pató
youtu.be
August 7, 2025 at 7:35 PM
informaq.bsky.social
Bosonic tensor networks validate sine-Gordon continuum theory with parameter-free precision. Achieved sub-percent agreement with exact soliton masses and dispersion relations, providing classical benchmarks for quantum simulation platforms.

#quantumfieldtheory #tensornetworks #Research
Bosonic Tensor Networks for Sine-Gordon Continuum Matching and Soliton Scattering
iq.fp2.dev
September 21, 2026 at 2:01 AM
informaq.bsky.social
Novel Monte Carlo method for quantum simulation replaces truncation errors with evaluable statistical errors, outperforming standard TEBD approaches in entanglement-rich systems while maintaining unbiased expectation values.

#QuantumSimulation #TensorNetworks #Research
Tensor-Network Monte Carlo for Unitary Quantum Evolution
arxiv.org
September 15, 2026 at 2:08 AM
zarcode.bsky.social
#Quantum #supremacy just ran into an unexpected rival: An ordinary #laptop armed with new #math. #Tensor #qubit #QuantumComputing #QuantumSupremacy #TensorNetworks #Science #Nature #Reality
phys.org/news/2026-05...
Quantum supremacy just ran into an unexpected rival: An ordinary laptop armed with new math
Using a conventional computer and cutting-edge mathematical tools and code, physicists at the Center for Computational Quantum Physics (CCQ) at the Simons Foundation's Flatiron Institute and collabora...
phys.org
May 22, 2026 at 5:38 AM
epljournal.bsky.social
FREE TO READ - EDITOR'S CHOICE: Tensor networks for hierarchical lattices

by S. S. Akimenko and A. V. Myshlyavtsev

#FreeToRead #EditorsChoice #TensorNetworks

👉 iopscience.iop.org/article/10.1...
February 10, 2025 at 2:00 PM
informaq.bsky.social
We develop a PEPS-based method to extract corner entanglement entropy in 2D quantum critical systems, demonstrating universal scaling with correlation length and validating finite-entanglement scaling predictions.

#QuantumEntanglement #TensorNetworks #QuantumCriticalPoints
Corner Entanglement Scaling in Projected Entangled Pair States
arxiv.org
September 18, 2026 at 8:03 AM
informaq.bsky.social
New tensor network framework reveals how symmetry shapes topological order, enabling analysis of domain walls, gauging transitions, and anyon condensation physics

#TopologicalOrder #QuantumSimulation #TensorNetworks
Symmetry-Enriched Topological Order in Tensor Networks
quantum-journal.org
September 1, 2026 at 11:58 AM
informaq.bsky.social
Tensor networks from quantum physics are revolutionizing classical ML: enabling efficient compression, privacy through gauge freedom, and interpretability via quantum information metrics. Bridges quantum & classical computing paradigms.

#TensorNetworks #QuantumInspired #MachineLearning
Quantum-Inspired Tensor Networks for Classical Machine Learning
iq.fp2.dev
April 19, 2026 at 2:54 AM
informaq.bsky.social
Introduces gradBEA algorithm for optimizing tensor network states in quantum simulations. Achieves order-of-magnitude faster convergence and lower ground state energies than previous methods on 2D lattice models and Fe4S4 clusters.

#QuantumSimulation #TensorNetworks #QuantumAlgorithms
Non-local Fermionic Mode Optimization via Gradient-Based Block Entropy Minimization
iq.fp2.dev
September 11, 2026 at 8:39 AM
informaq.bsky.social
Novel algorithm combining belief propagation with DMRG enables ground-state computation on arbitrary lattices and higher dimensions, achieving 0.9-0.99 fidelity with efficient tensor network contractions.

#TensorNetworks #QuantumSimulation #Research
BP-DMRG: Belief Propagation for Ground-State Tensor Networks
arxiv.org
September 3, 2026 at 6:50 AM
informaq.bsky.social
Efficient tensor-network framework enables simulation of quasicrystal systems with >10^9 sites by encoding quasiperiodic sequences as finite-state automata in custom numeration systems, resolving hierarchical spectral structures previously inaccessible.

#QuantumSimulation #TensorNetworks #Research
One-Dimensional Quasicrystals with Tensor-Network Finite-State Automata
arxiv.org
September 9, 2026 at 4:06 AM
informaq.bsky.social
Three new Python packages enable visual debugging and authoring of tensor networks and quantum circuits, bridging the gap between mathematical diagrams and code through structural inspection, design-level analysis, and circuit rendering.

#QuantumSoftware #TensorNetworks #PythonTools
Python Tools for Tensor-Network Debugging and Quantum-Circuit Visualization
arxiv.org
June 9, 2026 at 5:56 AM
informaq.bsky.social
Flatiron Institute researchers developed a classical tensor network algorithm using belief propagation that successfully simulates complex 3D quantum dynamics on commercial laptops, matching the accuracy of D-Wave's 5,000-qubit quantum annealer.

#QuantumSupremacy #TensorNetworks #News
Classical Tensor Network Algorithm Challenges D-Wave Quantum Supremacy Claim
quantumcomputingreport.com
May 22, 2026 at 1:03 PM
informaq.bsky.social
Framework for simulating seismic wave propagation using quantum circuits and classical tensor networks. MPS solver demonstrates viable approach for computing large-scale wavefield dynamics deterministically on classical high-performance computing systems.

#QuantumSimulation #Seismic #TensorNetworks
Quantum Circuit and Tensor Network Implementation of the 2D Acoustic Wave Equation
arxiv.org
September 3, 2026 at 8:25 AM
enricesena.bsky.social
Do you ever wonder how tensor networks could help you understand quantum gravity?
We have done the work for you and published a comprehensive guide to the performance of TN for simulating matrix models scirate.com/arxiv/2412.0...

#quantumcomputing
#quantumgtavity
#tensornetworks
Simulating matrix models with tensor networks
Matrix models, as quantum mechanical systems without explicit spatial dependence, provide valuable insights into higher-dimensional gauge and gravitational theories, especially within the framework of...
scirate.com
December 6, 2024 at 12:10 PM
informaq.bsky.social
Certified quantum control framework using fixed-rank tensor surrogates achieves exponentially decaying optimality gaps. Rank-dependent error bounds enable efficient control of many-body quantum systems with proven performance guarantees.

#QuantumControl #TensorNetworks #Research
Hierarchical Tucker Surrogates for Quantum Optimal Control with Error Bounds
arxiv.org
September 16, 2026 at 12:07 AM