Zobrazeno 1 - 10
of 6 081
pro vyhledávání: '"Pilati A."'
Autor:
Brodoloni, L., Pilati, S.
A continuous-time projection quantum Monte Carlo algorithm is employed to simulate the ground state of a short-range quantum spin-glass model, namely, the two-dimensional Edwards-Anderson Hamiltonian with transverse field, featuring Gaussian nearest-
Externí odkaz:
http://arxiv.org/abs/2407.05978
Publikováno v:
Phys. Rev. Lett. 133, 083401 (2024)
We investigate the formation of quantum droplets at finite temperature in attractive Bose mixtures subject to a strong transverse harmonic confinement. By means of exact path-integral Monte Carlo methods we determine the equilibrium density of the ga
Externí odkaz:
http://arxiv.org/abs/2405.09368
Publikováno v:
EPJ Quantum Technol. 11, 45 (2024)
We investigate the potential of combining the computational power of noisy quantum computers and of classical scalable convolutional neural networks (CNNs). The goal is to accurately predict exact expectation values of parameterized quantum circuits
Externí odkaz:
http://arxiv.org/abs/2404.07802
In recent years, machine learning models, chiefly deep neural networks, have revealed suited to learn accurate energy-density functionals from data. However, problematic instabilities have been shown to occur in the search of ground-state density pro
Externí odkaz:
http://arxiv.org/abs/2403.09788
Autor:
Cantori, Simone, Pilati, Sebastiano
Recently, deep neural networks have proven capable of predicting some output properties of relevant random quantum circuits, indicating a strategy to emulate quantum computers alternative to direct simulation methods such as, e.g., tensor-network met
Externí odkaz:
http://arxiv.org/abs/2402.04992
Publikováno v:
Phys. Rev. A 109, 032408 (2024)
Quantum enhanced optimization of classical cost functions is a central theme of quantum computing due to its high potential value in science and technology. The variational quantum eigensolver (VQE) and the quantum approximate optimization algorithm
Externí odkaz:
http://arxiv.org/abs/2308.00044
Publikováno v:
Phys. Rev. B 108. (2023): 125113
Density functional theory (DFT) is routinely employed in material science and in quantum chemistry to simulate weakly correlated electronic systems. Recently, deep learning (DL) techniques have been adopted to develop promising functionals for the st
Externí odkaz:
http://arxiv.org/abs/2305.15370
Publikováno v:
Phys. Rev. Lett. 131, 173404 (2023)
We study the thermodynamic behavior of attractive binary Bose mixtures using exact path-integral Monte-Carlo methods. Our focus is on the regime of interspecies interactions where the ground state is in a self-bound liquid phase, stabilized by beyond
Externí odkaz:
http://arxiv.org/abs/2304.12334
Publikováno v:
Phys. Rev. Research 5, L032041 (2023)
We study repulsive two-component Bose mixtures with equal populations and confined in a finite-size box through path-integral Monte Carlo simulations. For different values of the $s$-wave scattering length of the interspecies potential, we calculate
Externí odkaz:
http://arxiv.org/abs/2302.13659
Autor:
Sophie Mouillet-Richard, Angélique Gougelet, Bruno Passet, Camille Brochard, Delphine Le Corre, Caterina Luana Pitasi, Camille Joubel, Marine Sroussi, Claire Gallois, Julien Lavergne, Johan Castille, Marthe Vilotte, Nathalie Daniel-Carlier, Camilla Pilati, Aurélien de Reyniès, Fatima Djouadi, Sabine Colnot, Thierry André, Julien Taieb, Jean-Luc Vilotte, Béatrice Romagnolo, Pierre Laurent-Puig
Publikováno v:
Journal of Translational Medicine, Vol 22, Iss 1, Pp 1-17 (2024)
Abstract Background The mesenchymal subtype of colorectal cancer (CRC), associated with poor prognosis, is characterized by abundant expression of the cellular prion protein PrPC, which represents a candidate therapeutic target. How PrPC is induced i
Externí odkaz:
https://doaj.org/article/6c482fe7bb844cb5b3a5a20ec371350b