#tensornetworks search results
"Tensor network models of AdS/qCFT" shows how one can very concretely capture aspects of AdS/CFT in #holography with the help of #tensornetworks, a talk held at "Tensor Networks: from Simulations to Holography III" (Perimeter Institute, 2020). youtube.com/watch?v=p6V6H3…
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/2508.165… In detail,…
Still a long way to go for AI, at least with Tensor Network diagrams #ChatGPT #DALLE #TensorNetworks
This is the week of on-site talks. This time, Monica Kang from @Caltech gives an excellent talk on #TensorNetworks for #spacetime.
This piece of work is particularly close to my heart. It presents a scalable and highly experimentally friendly method of #Hamiltonianlearning, by combining ideas of #tensornetworks and #machinelearning. It has been in the making for over two years. scirate.com/arxiv/2209.143…
#Tensornetworks help to solve the puzzle of the ground state of the spin-1/2 Heisenberg anti-ferromagnet on the #Shuriken lattice. scirate.com/arxiv/2211.169…
Days of #TensorNetworks at @_ICMAT and staying at @CSIC. And yes, that’s the building from @lacasadepapel
A talk on “Entanglement Criticality in random quantum circuits” next Wednesday, brought to you by @uoftphysics's "Quantum Matter Seminar"! #entanglement #quantuminformation #tensornetworks physics.utoronto.ca/research/conde…
🚨 Our new paper uncovers time crystals in decorated lattices. We reveal their exponential lifetime and bipartite rigidity against perturbations. This leads to a rich phase diagram tied to the lattice topology. 📖 arxiv.org/abs/2411.00651 🔬✨ #TimeCrystals #TensorNetworks
Over the last years, we have been thinking how #tensornetworks can be used to learn dynamical laws from data and to "discover" physical principles in a #machinelearning mindset. scirate.com/arxiv/2208.015…
Congrats to @MjJavaheri from our QuNB group for passing the qualifying exam today with his PhD project on extending #TensorNetworks to bio-molecular systems. Interesting years ahead! @ChemistryUNB @UNBResearch
New preprint today! "Spreading of Correlations and Entanglement in the Long-Range Transverse Ising Chain" by J. T. Schneider (@jan_thorben), J. Despres, S. J. Thomson, L. Tagliacozzo (@lukyluke_t) & L. Sanchez-Palencia: arxiv.org/abs/2011.11296 #quantum #tensornetworks @ITensorLib
An introduction to infinite projected entangled-pair state methods for variational ground state simulations using automatic differentiation scipost.org/10.21468/SciPo… Ideas of #automateddifferentiation are powerful tools in the study of #tensornetworks.
#Tensornetworks are exciting tools to study strongly correlated #quantummanybodysystems, usually applied to idealized models. We here tailor tensor networks to explore properties of experimentally available #quantummaterials at finite temperature. scirate.com/arxiv/2211.001…
A small, possibly cute, paper that combines the #randommeasurement programme with #tensornetworks. The main insight is that since one can resort to unphysical operations classically, random sampling from frames give valuable information on #entanglement. scirate.com/arxiv/2202.040…
Stay tuned 👀 . This could be the next quiet revolution in cloud productivity : [ AI + SaaS + Quantum ] /* Any suggestions are more than welcome 🤗 */ #SaaS #AI #TensorNetworks #CloudComputing #Efficiency
La #computacióncuántica es un campo interesante que ha estado creciendo durante estos años. Sin embargo, le ha salido un competidor: las #redes de tensores o '#tensornetworks' 🚀 Os compartimos Charla Alejandro Mata en Pint Of Science en Burgos youtube.com/watch?v=SWnGim…
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Tu problema son los tensores | Redes tensoriales (matemáticas...
Tensor Train Decomposition is a game-changer for high-dimensional data. This isn't just theory—it compresses complex data like images & signals into efficient, manageable formats. A must-know for ML and quantum computing. #TensorNetworks #MachineLearning
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/2508.165… In detail,…
Entangled Words: Using Tensor Networks to Build Smarter, Smaller Transformers satyamcser.medium.com/entangled-word… open.substack.com/pub/satyamcser… #NLP #QuantumAI #TensorNetworks #Transformers #SemanticCompression #MathematicalAI #satmis #LLM #ArtificialIntelligence
The 2025 #KoreaUniversity Spring Physics Colloquium continues next week with Hyun-Yong Lee (#KU Sejong Campus) telling us about #TensorNetworks for #quantum many body problems in #condensedmatter physics. An exciting theory tool promising to tame the infamous sign problem.
#Daily_Share Welcome to read and share the newly published paper "Advantages of Density in Tensor Network Geometries for Gradient-Based Training". This excellent paper is written by Sergi Masot-Llima, and Artur Garcia-Saez. Read via: mdpi.com/1999-4893/18/2… #tensornetworks
🔗zenodo.org/records/148784… #QuantumComputing #AIResearch #TensorNetworks #MicrosoftQuantum #GoogleAI #IBMQuantum #DeepMind #QuantumErrorCorrection #AIPhysics
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 @ETH_physics @UZHMat @ETHQuantumCntr #NeuralQuantumStates #QuantumComputing #TensorNetworks
The two-dimensional classical Heisenberg model is one of the most paradigmatic models of classical #statisticalphysics. And yet, its phase diagram has never been unambiguously settled. We shed new light on this question by means of #tensornetworks. scirate.com/arxiv/2106.063…
"Tensor network models of AdS/qCFT" shows how one can very concretely capture aspects of AdS/CFT in #holography with the help of #tensornetworks, a talk held at "Tensor Networks: from Simulations to Holography III" (Perimeter Institute, 2020). youtube.com/watch?v=p6V6H3…
Still a long way to go for AI, at least with Tensor Network diagrams #ChatGPT #DALLE #TensorNetworks
A talk on “Entanglement Criticality in random quantum circuits” next Wednesday, brought to you by @uoftphysics's "Quantum Matter Seminar"! #entanglement #quantuminformation #tensornetworks physics.utoronto.ca/research/conde…
Recent years have enjoyed an increased interest in notions of #holographic #tensornetworks and #quantumerrorcorrection. This article provides a review. iopscience.iop.org/article/10.108…
Days of #TensorNetworks at @_ICMAT and staying at @CSIC. And yes, that’s the building from @lacasadepapel
We demonstrate that the entanglement gives rise to a well-defined length scale that can be measured in #experiments and and compute the relevant quantities using #tensornetworks.
Looking for a #PhD-Position in #QuantumPhysics with a Focus on #TensorNetworks? 👩🎓👨🎓 Then join our "Quantum Information and Quantum Many-Body Physics"-Research Group, led by Norbert Schuch! ✨ Info on how to apply is available at bit.ly/3dbBj0g
This is the week of on-site talks. This time, Monica Kang from @Caltech gives an excellent talk on #TensorNetworks for #spacetime.
This piece of work is particularly close to my heart. It presents a scalable and highly experimentally friendly method of #Hamiltonianlearning, by combining ideas of #tensornetworks and #machinelearning. It has been in the making for over two years. scirate.com/arxiv/2209.143…
Interested in #TensorNetworks and #Quantum many-body systems? 🧐 Then check out the free-to-watch EUROPEAN TENSOR NETWORK Seminar Series, co-organized by our research group leader Norbert Schuch! Register for the biweekly live talks or watch recordings at bit.ly/3kAx9kK
We complement these findings with a new rigorous #entanglementbound and compute the relevant quantities using #tensornetworks.
#Tensornetworks help to solve the puzzle of the ground state of the spin-1/2 Heisenberg anti-ferromagnet on the #Shuriken lattice. scirate.com/arxiv/2211.169…
Our friend of the family @QuantumChubb is giving a wonderful talk about general statistical mechanics models for #topological #quantumerrorcorrection codes and new decoders expressed in terms of #tensornetworks.
First invited talk this year was a local one, and something I was super excited to deliver, at the Quantum Math group at the Physics dept. of @uni_copenhagen. I presented some of our work on using #TensorNetworks for #MedicalImageAnalysis, and had some exciting discussions.
Over the last years, we have been thinking how #tensornetworks can be used to learn dynamical laws from data and to "discover" physical principles in a #machinelearning mindset. scirate.com/arxiv/2208.015…
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