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NetKet
@NetKetOrg
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NetKet is an open-source project for the study of many-body quantum systems with artificial neural networks and machine learning techniques.
Joined April 2018
The NetKet team is proud to present a new pre-print, describing the main features, theory, benchmarks and more of JAX-based NetKet 3! Supported by @cqs_lab, contributors from @EPFL_en @maxplanckpress @UniofOxford @UTAustin @UNALOficial @UZH_en, here:
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RT @gppcarleo: 🌟🚀 2023's Top Papers on Neural Quantum States! A year of many innovative approaches blending ML with quantum science. Here…
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NetKet 3.10 is out. Many new features, bug fixes and improvements! Full release notes here
@NetKetOrg 3.10 is out! This release is probably our largest to date, and the highlights include a blazing-fast natural gradient- VMC optimiser that works with millions of NN parameters, PySCF integration to build the electronic hamiltonians, better documentation and more!
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RT @gppcarleo: We had a very productive @cqs_lab group retreat last week, enjoying the beauty of southern Italy (Greek temples, pizzas, and…
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RT @gppcarleo: It's time for another brand new @NetKetOrg tutorial! This week, thanks to @pgabbo0 of @cqs_lab @EPFL, we explore bosonic…
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RT @gppcarleo: Started in 2018, NetKet @NetKetOrg was the first open-source library for machine learning and many-body quantum physics ever…
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RT @gppcarleo: 2022 has been a fantastic year for @cqs_lab: we deployed neural quantum states to accurately study many-body systems at vast…
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RT @gppcarleo: Looks like Galactica knows how to use NetKet to train a neural quantum state, that's good news :) @NetKetOrg
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The NetKet 3 manuscript is finally published in @scipost_dot_org Codebases (manuscript here . Check the great thread below by our lead developer @philipVinc to learn more! 👇👇
The @NetKetOrg 3 manuscript has been published in @SciPost_Physics Codebases! This goes in tandem with the new version 3.5 release! Supported by @gppcarleo @cqs_lab, contributors from @EPFL_en @maxplanckpress @UniofOxford @UTAustin @UNALOficial @UZH_en
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RT @NathanShammah: @philipVinc from @EPFL is introducing @NetKetOrg, taking a Neural Network approach to quantum physics problems. https://…
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Check this out, NetKet is part of the #UnitaryHack 2022 !
#UnitaryHack 2022 (June 3-17) Hackathon Project‼️ Netket 🧰 (@NetKetOrg): The Machine-Learning toolbox for Many-Body Quantum Physics: Neural-Network Quantum states and much more. Learn more: Sign up now!➡️:
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RT @gppcarleo: Now happening in Toulouse: @philipVinc and Damian Hofmann, the perfect duo to give a NetKet tutorials on ground state proper…
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RT @philipVinc: CONF: me and @JannesNys (@cqs_lab) are organising a workshop on Quantum and Classical Variational algorithms for quantum sy…
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Glad to advertise a summer school (April 4-8) on Machine Learning techniques for Quantum Many-Body Physics, in Toulouse, France. The school will feature several lectures and tutorials on NetKet. Deadline for registrations is March 8! @gppcarleo @philipVinc
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vote now!
@NetKetOrg retweet me: How would you like the time-evolution driver of NetKet to be named? It will work with real/imaginary time unitary dynamics (TDVP), lindblad dynamics, variational states + monte-carlo sampling, variational states without sampling.
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RT @cqs_lab: Live tutorial on @NetKetOrg (especially on symmetries and unitary dynamics) by @philipVinc (3/4)
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mpi4jax is the library that netket uses to exploit multi CPU-GPU parallelism under MPI and XLA/Jax. Developed by netket's lead developer @philipVinc @cqs_lab and by Dion Häfner @uni_copenhagen, it is now published in JOSS (@JOSS_TheOJ)
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