Hyper-optimized compressed contraction of tensor networks with arbitrary geometry: great work and it is very impressive and helpful!
I am just curious whether cotengra now supports some of the features described in this work, since I find some compressed words in commit history and the file name. Besides, do you have any plan to open source the implementation of this paper as a great tool (either integrated with cotengra or as an independent package) in the future?
Also a technical side question, how do you compare this general approximation contraction scheme with MPS-TEBD scheme (eg. https://journals.aps.org/prx/abstract/10.1103/PhysRevX.10.041038) in the context of approximated quantum circuit simulation (say still the random circuit supremacy case) in terms of efficiency and approximation error.
Sorry if you find this post irrelevant from issues here, feel free to close this, and we can communicate via email if you prefer.
Hyper-optimized compressed contraction of tensor networks with arbitrary geometry: great work and it is very impressive and helpful!
I am just curious whether cotengra now supports some of the features described in this work, since I find some
compressedwords in commit history and the file name. Besides, do you have any plan to open source the implementation of this paper as a great tool (either integrated with cotengra or as an independent package) in the future?Also a technical side question, how do you compare this general approximation contraction scheme with MPS-TEBD scheme (eg. https://journals.aps.org/prx/abstract/10.1103/PhysRevX.10.041038) in the context of approximated quantum circuit simulation (say still the random circuit supremacy case) in terms of efficiency and approximation error.
Sorry if you find this post irrelevant from issues here, feel free to close this, and we can communicate via email if you prefer.