

Computational Quantum Science Lab
118 posts

@cqs_lab
CQS Lab at EPFL (@EPFL_en, @epflSB), part of @QSECenter_EPFL. Machine Learning for Quantum; Quantum Computing, and +. Led by @gppcarleo - Home of the @NetKetOrg














New paper 🚨: Real-time dynamics of thermal states! We show how neural quantum states can accurately produce time-dependent finite-T observables in 2D. We also introduce a novel autoregressive neural density operator. With @zdenis_ @gppcarleo @cqs_lab scirate.com/arxiv/2309.070…






Hybrid ground-state quantum algorithms based on neural Schrödinger forging, Paulin de Schoulepnikoff et al @oriel_kiss, @gppcarleo, @GrosQmichi @QSECenter_EPFL @CERNquantum #CondensedMatter #QuantumInformation go.aps.org/49nxM95

Accepted and published in Quantum: Overhead-constrained circuit knitting for variational quantum dynamics by Gian Gentinetta, Friederike Metz, and Giuseppe Carleo doi.org/10.22331/q-202…


Quantum has recently published: A rapidly mixing Markov chain from any gapped quantum many-body system by Sergey Bravyi, Giuseppe Carleo, David Gosset, and Yinchen Liu doi.org/10.22331/q-202…






Recently published in Quantum: Unbiasing time-dependent Variational Monte Carlo by projected quantum evolution by Alessandro Sinibaldi, Clemens Giuliani, Giuseppe Carleo, and Filippo Vicentini doi.org/10.22331/q-202…

