An efficient quantum algorithm for the time evolution of parameterized circuits von Barison, Stefano, Vicentini, Filippo, Carleo, Giuseppe

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Critical slowing down in driven-dissipative Bose-Hubbard lattices von Vicentini, Filippo, Minganti, Fabrizio, Rota, Riccardo, Orso, Giuliano, Ciuti, Cristiano

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Unbiasing time-dependent Variational Monte Carlo by projected quantum evolution von Sinibaldi, Alessandro, Giuliani, Clemens, Carleo, Giuseppe, Vicentini, Filippo

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From tensor-network quantum states to tensorial recurrent neural networks von Wu, Dian, Rossi, Riccardo, Vicentini, Filippo, Carleo, Giuseppe

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Learning ground states of gapped quantum Hamiltonians with Kernel Methods von Giuliani, Clemens, Vicentini, Filippo, Rossi, Riccardo, Carleo, Giuseppe

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Variational dynamics as a ground-state problem on a quantum computer von Barison, Stefano, Vicentini, Filippo, Cirac, Ignacio, Carleo, Giuseppe

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Empirical Sample Complexity of Neural Network Mixed State Reconstruction von Zhao, Haimeng, Carleo, Giuseppe, Vicentini, Filippo

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NetKet: A machine learning toolkit for many-body quantum systems von Carleo, Giuseppe, Choo, Kenny, Hofmann, Damian, Smith, James E.T., Westerhout, Tom, Alet, Fabien, Davis, Emily J., Efthymiou, Stavros, Glasser, Ivan, Lin, Sheng-Hsuan, Mauri, Marta, Mazzola, Guglielmo, Mendl, Christian B., van Nieuwenburg, Evert, O’Reilly, Ossian, Théveniaut, Hugo, Torlai, Giacomo, Vicentini, Filippo, Wietek, Alexander

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Variational Neural-Network Ansatz for Steady States in Open Quantum Systems von Vicentini, Filippo, Biella, Alberto, Regnault, Nicolas, Ciuti, Cristiano

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Machine learning toolbox for quantum many body physics von Vicentini, Filippo

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mpi4jax: Zero-copy MPI communication of JAX arrays von Häfner, Dion, Vicentini, Filippo

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From Tensor Network Quantum States to Tensorial Recurrent Neural Networks von Wu, Dian, Rossi, Riccardo, Vicentini, Filippo, Carleo, Giuseppe

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Optimal stochastic unraveling of disordered open quantum systems: Application to driven-dissipative photonic lattices von Vicentini, Filippo, Minganti, Fabrizio, Biella, Alberto, Orso, Giuliano, Ciuti, Cristiano

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Variational benchmarks for quantum many-body problems von Wu, Dian, Rossi, Riccardo, Vicentini, Filippo, Astrakhantsev, Nikita, Becca, Federico, Cao, Xiaodong, Carrasquilla, Juan, Ferrari, Francesco, Georges, Antoine, Hibat-Allah, Mohamed, Imada, Masatoshi, Läuchli, Andreas M, Mazzola, Guglielmo, Mezzacapo, Antonio, Millis, Andrew, Robledo Moreno, Javier, Neupert, Titus, Nomura, Yusuke, Nys, Jannes, Parcollet, Olivier, Pohle, Rico, Romero, Imelda, Schmid, Michael, Silvester, J Maxwell, Sorella, Sandro, Tocchio, Luca F, Wang, Lei, White, Steven R, Wietek, Alexander, Yang, Qi, Yang, Yiqi, Zhang, Shiwei, Carleo, Giuseppe

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Neural Projected Quantum Dynamics: a systematic study von Gravina, Luca, Savona, Vincenzo, Vicentini, Filippo

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Variational Embeddings for Many Body Quantum Systems von Barison, Stefano, Vicentini, Filippo, Carleo, Giuseppe

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Variational dynamics of open quantum systems in phase space von Eeltink, Debbie, Vicentini, Filippo, Savona, Vincenzo

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Empirical Sample Complexity of Neural Network Mixed State Reconstruction von Zhao, Haimeng, Carleo, Giuseppe, Vicentini, Filippo

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Positive-definite parametrization of mixed quantum states with deep neural networks von Vicentini, Filippo, Rossi, Riccardo, Carleo, Giuseppe

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Efficiency of neural quantum states in light of the quantum geometric tensor von Dash, Sidhartha, Gravina, Luca, Vicentini, Filippo, Ferrero, Michel, Georges, Antoine

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