Differentiable Programming Tensor Networks and Quantum Circuits
APA
Wang, L. (2019). Differentiable Programming Tensor Networks and Quantum Circuits. Perimeter Institute. https://pirsa.org/19070017
MLA
Wang, Lei. Differentiable Programming Tensor Networks and Quantum Circuits. Perimeter Institute, Jul. 12, 2019, https://pirsa.org/19070017
BibTex
@misc{ pirsa_PIRSA:19070017, doi = {10.48660/19070017}, url = {https://pirsa.org/19070017}, author = {Wang, Lei}, keywords = {Condensed Matter}, language = {en}, title = {Differentiable Programming Tensor Networks and Quantum Circuits}, publisher = {Perimeter Institute}, year = {2019}, month = {jul}, note = {PIRSA:19070017 see, \url{https://pirsa.org}} }
Chinese Academy of Sciences
Collection
Talk Type
Subject
Abstract
Differentiable programming makes the optimization of a tensor network much cheaper (in unit of brain energy consumption) than before [e.g. arXiv: 1903.09650]. This talk mainly focuses on the technical aspects of differentiable programming tensor networks and quantum circuits with Yao.jl (https://github.com/QuantumBFS/Yao.jl). I will also show how quantum circuits can help with contracting and differentiating tensor networks.