ITensor retweeted
Roadmap for @ITensorLib at #juliacon, more details coming later in the mini! Get ready for tensor networks to solve everything 🤓.
ITensor retweeted
Replying to @ITensorLib
@ITensorLib is BACK at #juliacon. Matt Fishman from @FlatironCCQ presenting exciting updates to my “decent” gpu backend, among others.
ITensor retweeted
Our DMRG study of the quantum critical point in 1D water is published @PhysRevLett. This work wouldn't be possible without the incredible @ITensorLib software. Also, don't miss the fantastic Viewpoint by Marivi Fernández-Serra
@Perimeter @UWaterloo
journals.aps.org/prl/abstrac…
ITensor retweeted
Our first code tutorial for ML(QC)2 @NorditaSweden featuring @giactorlai and the @ITensorLib based quantum circuit simulator PastaQ
juliapackages.com/p/pastaq
ITensor retweeted
Two weeks ago I finished my internship at @FlatironCCQ working on the superconducting properties of the t-t’ Hubbard model using @ITensorLib. A great experience in a great place, where I got to meet brilliant researchers and make a lot of friends. Hope to be back soon!
ITensor retweeted
Out of those who ticked Julia, how many of them are also active @ITensorLib users? (I am!)
ITensor retweeted
Our latest work on Z3 parafermions in fermionic lattices just got published in @PhysRevB .
Kudos to Ph.D. student Raphael Teixeira, who mastered @ITensorLib for the DMRG calculations involved!
journals.aps.org/prb/abstrac…
ITensor retweeted
Heatmap plot of <Sz> for 30 METTS at temperature T=0.05 for a system of N=100 in size:
Today @arxiv (arxiv.org/abs/2202.07420): A tensor-based entanglement measure for mixed states; sieving quantum correlations from the operator-space entanglement spectrum @ETH_physics @UniKonstanz @SFB1432 @ETHQuantumCntr @JuliaLanguage @ITensorLib. With Christian Carisch.
ITensor retweeted
Replying to @lu_bohan
The referees were asking us for this kind of comparison, and TeNPy is really fast! So it's a good library to compare to. We host those benchmarks externally so they can be updated as the libraries evolve.
ITensor retweeted
Major features in #julialang v1.7:
1. New RNG (reproducible and multi-threaded)
2. New Threading Capabilities - atomics
3. Package Manager - automatic installation
4. Inference improvements
5. Easy replacement of OpenBLAS with MKL
6. Support for Apple Silicon
Breaking: Julia 1.7 was just released 🎉!
Read the highlights in our newest blog post: julialang.org/blog/2021/11/j…
Big thanks to the 79+ contributors and many release testers who made this possible! #JuliaLang
ITensor retweeted
New country, new city, new language, new research group...so why not a new programming language as well? 😅
Spent this afternoon finally getting to grips with @JuliaLanguage and @ITensorLib. I'm blown away by how fast it was to get up and running, and doing *real* calculations!
ITensor retweeted
Check out this overview of ITensors.jl by lead developer Matt Fishman! Sky is the limit when you have this amazing tensor-network package in your toolbox!! @FlatironCCQ @MStoudenmire
"What's new in ITensors.jl" by Matt Fishman happening now! youtube.com/watch?v=EIiq3TfC… live.juliacon.org
ITensor retweeted
Our latest paper just appeared on @PhysRevResearch .
Kudos to my student, Raphael Teixeira, who not only did an amazing job studying lattice models supporting parafermions but also learned the nuts and bolts of @ITensorLib to perform the calculations!
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ITensor retweeted
This looks good! I've been learning Julia lately, mainly inspired by a PhD student I work with who's gotten great results from the @JuliaLanguage version of @ITensorLib, and the more I see from this language, the more impressed by it I am. Looking forward to learning more! 👍
The #JuliaCon 2021 workshop list has been announced and wow is it going to be a great week of learning the week prior to the conference: pretalx.com/juliacon2021/fea…
#JuliaLang
ITensor retweeted
🎬…and cut. We are done recording lectures for my “Computational Many-Body Physics” course.
Tune in if you want to break the exponential complexity of many-body systems with polynomial algorithms: Monte Carlo sampling, tensor networks & machine learning
vimeo.com/showcase/8290960
ITensor retweeted
State-of-the-art tensor network simulations based on #PastaQ @ITensorLib capture measurement-induced entanglement phase transitions in hybrid circuits with trapped ion native gates
Check out our new paper arxiv.org/abs/2106.03769
With @giactorlai @muniasr Rajibul Islam @rgmelko
ITensor retweeted
A DMRG study of an extended Hubbard model. Chiral spin liquid competing with several other phases. Quite proud of Yiqing Zhou's accomplishment in less than one year since starting her graduate studies at Cornell in the midst of the pandemic! arxiv.org/abs/2105.07008
ITensor retweeted
ITensor is a software library for tensor algorithms in Julia and C++. The Julia version of ITensor now offers multithreaded contraction of block-sparse tensors. For more information click here itensor.org/
#julialang #multithreading @ITensorLib
ITensor retweeted
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


























