Zobrazeno 1 - 10
of 16 698
pro vyhledávání: '"P.-A Giorgi"'
Autor:
Berglund, Per, Butbaia, Giorgi, Hübsch, Tristan, Jejjala, Vishnu, Mishra, Challenger, Peña, Damián Mayorga, Tan, Justin
We introduce \texttt{cymyc}, a high-performance Python library for numerical investigation of the geometry of a large class of string compactification manifolds and their associated moduli spaces. We develop a well-defined geometric ansatz to numeric
Externí odkaz:
http://arxiv.org/abs/2410.19728
Autor:
Labay-Mora, Adrià, García-Beni, Jorge, Giorgi, Gian Luca, Soriano, Miguel C., Zambrini, Roberta
Quantum optical networks are instrumental to address fundamental questions and enable applications ranging from communication to computation and, more recently, machine learning. In particular, photonic artificial neural networks offer the opportunit
Externí odkaz:
http://arxiv.org/abs/2410.17702
Autor:
Polimeno, Laura, Todisco, Francesco, Mastria, Rosanna, De Giorgi, Milena, Fieramosca, Antonio, Pugliese, Marco, Ballarini, Dario, Grudinina, Anna, Voronova, Nina, Sanvitto, Daniele
Transition-metal dichalcogenides monolayers exhibit strong exciton resonances that enable intense light-matter interactions at room temperature (RT). However, the sensitivity of these materials to the surrounding environment and their intense interac
Externí odkaz:
http://arxiv.org/abs/2410.17693
We consider the non-relativistic limit of general relativity coupled to a $(p+1)$-form gauge field and a scalar field in arbitrary dimensions and investigate under which conditions this gives rise to a Poisson equation for a Newton potential describi
Externí odkaz:
http://arxiv.org/abs/2410.00692
Autor:
Palacios, Ana, Martínez-Peña, Rodrigo, Soriano, Miguel C., Giorgi, Gian Luca, Zambrini, Roberta
Quantum Reservoir Computing (QRC) offers potential advantages over classical reservoir computing, including inherent processing of quantum inputs and a vast Hilbert space for state exploration. Yet, the relation between the performance of reservoirs
Externí odkaz:
http://arxiv.org/abs/2409.17734
Autor:
Janiak, Jett, Karwowski, Jacek, Mangat, Chatrik Singh, Giglemiani, Giorgi, Petrova, Nora, Heimersheim, Stefan
We identify "stable regions" in the residual stream of Transformers, where the model's output remains insensitive to small activation changes, but exhibits high sensitivity at region boundaries. These regions emerge during training and become more de
Externí odkaz:
http://arxiv.org/abs/2409.17113
Sparse Auto-Encoders (SAEs) are commonly employed in mechanistic interpretability to decompose the residual stream into monosemantic SAE latents. Recent work demonstrates that perturbing a model's activations at an early layer results in a step-funct
Externí odkaz:
http://arxiv.org/abs/2409.15019
The cosmic microwave background (CMB) spectrum is an extraordinary tool for exploring physics beyond the Standard Model. The exquisite precision of the measurement makes it particularly sensitive to small effects caused by hidden sector interactions.
Externí odkaz:
http://arxiv.org/abs/2409.12940
Autor:
Cheng, Lixue, Szabó, P. Bernát, Schätzle, Zeno, Kooi, Derk P., Köhler, Jonas, Giesbertz, Klaas J. H., Noé, Frank, Hermann, Jan, Gori-Giorgi, Paola, Foster, Adam
Variational ab-initio methods in quantum chemistry stand out among other methods in providing direct access to the wave function. This allows in principle straightforward extraction of any other observable of interest, besides the energy, but in prac
Externí odkaz:
http://arxiv.org/abs/2409.01306
Large Language Models (LLMs), which simulate human users, are frequently employed to evaluate chatbots in applications such as tutoring and customer service. Effective evaluation necessitates a high degree of human-like diversity within these simulat
Externí odkaz:
http://arxiv.org/abs/2409.00262