Giacomo Torlai
@giactorlai
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Research Scientist at @awscloud Center for Quantum Computing | Prev @FlatironInst, @Perimeter/@UWaterloo, @LMU_Muenchen. Views are my own.
Los Angeles, CA
Joined December 2015
Happy to introduce PastaQ, a Julia package for simulating and benchmarking near-term #quantum computers, using a combination of tensor networks and #MachineLearning algorithms. Really fun project with Matt Fishman @FlatironCCQ, supported by @SimonsFdn.
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RT @aBohrdt: In our latest work, we introduce an active learning 🤓 scheme to efficiently reconstruct a quantum state ⚛️ by choosing the mea….
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RT @carrasqu: Roeland Wiersema's new preprint: if your quantum algorithm uses a small number of gates that can't be physically implemented,….
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RT @sCzischek: Your RNN-based VMC needs long runtimes to converge? Speed it up with a data-driven initialization! .Check out our preprint t….
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RT @AlexanderWietek: Check out my new preprint: Stripe formation in systems of strongly interacting electrons can….
arxiv.org
Condensation of bosons in Bose-Einstein condensates or Cooper pairs in superconductors refers to a macroscopic occupation of a few single- or two-particle states. A condensate is called...
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RT @QuantumKessler: Running quantum-classical workloads in the @awscloud just became a lot easier and more performant. With today’s launch….
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RT @carrasqu: New preprint in collaboration Roeland Wiersema, Cunlu Zhou, and Yong-Baek Kim. We provide evidence that variational quantum c….
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RT @ITensorLib: We are hiring! We have a 2-3 year postdoctoral equivalent position focused on scientific software development of the ITenso….
discourse.julialang.org
Introduction: Miles Stoudenmire (@miles) and I (@mtfishman) are hiring a software developer to work on the new Julia port of ITensor, a leading tensor network software package used for cutting edge...
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RT @KatiusciaNC: We are pleased to offer this hands-on guide that elucidates key operational aspects of machine learning and how to apply i….
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RT @PRX_Quantum: Tutorial: A newcomer guide on applying tools from #MachineLearning to solve problems in condensed-matter physics and quant….
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RT @fgslbrandao: Excited to be in our new building with an extraordinary team, working hard to push forward quantum computing @awscloud @C….
washingtonpost.com
The investment reflects growing corporate interest in quantum computers, which are still at an early stage of development but could someday crack problems that existing computers can’t.
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RT @preskill: [Amazon] will benefit hugely from having access to the Caltech community, the physicists said. “This is really one of the bes….
washingtonpost.com
The investment reflects growing corporate interest in quantum computers, which are still at an early stage of development but could someday crack problems that existing computers can’t.
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RT @MedHibatAllah: Very honored to share “Variational Neural Annealing” published in Nature Machine Intelligence. In collaboration with @In….
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RT @preskill: From the @awscloud Quantum Computing Blog: Mario Berta on generating randomness with quantum processors, including an impleme….
aws.amazon.com
Introduction – the need for randomness Random numbers are a crucial resource used throughout modern computer science. For example, in computation, randomized algorithms give efficient solutions for a...
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RT @QuantumKessler: Are you interested in quantum circuit compilation and optimization? We are looking for applied scientists to join our t….
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RT @gppcarleo: Interested in neural quantum states? Check out this NetKet 3.0 @NetKetOrg tutorial I recently gave! You can learn how to bui….
colab.research.google.com
Run, share, and edit Python notebooks
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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!
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RT @MStoudenmire: As much as I enjoy Julia programming, this is spot on: “What’s bad about Julia?”
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