Filippo Vicentini
@philipVinc
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Postdoc @EPFL, bridging machine learning and quantum science. Coming from Quantum Optics @MPQlab. I was fabricating qubits in a distant past. @Julia supporter
Paris
Joined August 2009
FYI: Ecole Polytechnique offers several benefits compared to other French academic positions (CNRS/Maitre de conference), including the possibility to negotiate startup packages, higher pay and reduced teaching load.
Full time Professorship openings: Ecole Polytechnique will recruit 2 full time assistant professors in Condensed Matter Physics and in Quantum Physics. If you're working at the intersection of AI/ML and Quantum Physics or Material Science that's a plus! For info, get in touch!
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RT @MarinBukov: hoping to see many of you at this upcoming machine learning 4 quantum matter workshop @mpi_pks in Dresden (Feb 24-28, '25):…
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RT @gppcarleo: Our endeavor on variational benchmarks for quantum many-body problems is now published in @ScienceMagazine! In this large…
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About code: it's spaghetti right now, and relies on an hacked version of @NetKetOrg extensively. We had to get the paper out (grants..) but we'll be cleaning it up and share it soon! This project also triggered us to start thinking about NetKet 4. Stay tuned!
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@PatrickKidger are do similar things but follow different APIs. Speaking as high-level lib author taking as input a NN, I can if/else on the module type to eqx.partition/nnx.split but I would like for an agreed standard to signal 'frozen' parameters not to be `jax.grad` through.
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@shoyer Deep in the library, I use AD to get gradients of trainable parameters (see ). It's not feasible to expose this to the user. Right now we only support flax. How can I support both flax, equinox and nnx to express nondiff pars, so deep in the library?
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RT @FerlainoGroup: 🚨 Big news on arXiv! 🚨 Over 30 female Quantum Professors have united to release a powerful Manifesto of Values. They ref…
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Sigh 😪
Italy's real wage misery: inflation-adjusted wages in 2023 were 4.4% lower than in 1990. Even real wages in Greek performed a little better.
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In my eyes Academia is about open science, confrontation and advancing the little domains we chose to contribute. If we actively prevent this, we're no different from Google and other industrial players.
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