International Workshop Led by Young Researchers "Recent Developments and Challenges in Tensor Networks: Algorithms, Applications to science, and Rigorous theories"
2025/07/28 --- 2025/08/08
Yukawa Institute for Theoretical Physics, Kyoto University
International Workshop Led by Young Researchers "Recent Developments and Challenges in Tensor Networks: Algorithms, Applications to science, and Rigorous theories"
2025/07/28 --- 2025/08/08
Yukawa Institute for Theoretical Physics, Kyoto University
Researchers show classical computers can keep up with, and surpass, their quantum counterparts
https://phys.org/news/2024-02-classical-surpass-quantum-counterparts.html #QuantumComputing #ClassicalComputing #speed #MemoryUsage #InformationLoss #algorithm #TensorNetwork
This paper from @jenseisert and colleagues sounds interesting!
"The incorporation of automatic differentiation in tensor networks algorithms has ultimately enabled a new, flexible way for variational simulation of ground states and excited states. In this work, we review the state of the art of the variational iPEPS framework. We present and explain the functioning of an efficient, comprehensive and general tensor network library for the simulation of infinite two-dimensional systems using iPEPS, with support for flexible unit cells and different lattice geometries."
https://scirate.com/arxiv/2308.12358
#quantum #TensorNetwork #computational #physics #AutomaticDifferentiation #iPEPS
Introducing #tensorNetwork, an Open Source Library for Efficient #tensor Calculations #googleX https://blog.x.company/introducing-tensornetwork-an-open-source-library-for-efficient-tensor-calculations-cd124bc0756e