Zobrazeno 1 - 10
of 21 254
pro vyhledávání: '"A, Borrelli"'
Autor:
Takahashi, Hideaki, Borrelli, Raffaele
We present a comprehensive theory for a novel method to discretize the spectral density of a bosonic heat bath, as introduced in [H. Takahashi and R. Borrelli, J. Chem. Phys. \textbf{161}, 151101 (2024)]. The approach leverages a low-rank decompositi
Externí odkaz:
http://arxiv.org/abs/2412.13793
Autor:
Borrelli, William, Morellini, Umberto
Graphene is a monolayer graphitic film where electrons behave like two-dimensional Dirac fermions without mass. Its study has attracted a wide interest in the domain of condensed matter physics. In particular, it represents an ideal system to test th
Externí odkaz:
http://arxiv.org/abs/2411.14028
We introduce an Implicit Game-Theoretic MPC (IGT-MPC), a decentralized algorithm for two-agent motion planning that uses a learned value function that predicts the game-theoretic interaction outcomes as the terminal cost-to-go function in a model pre
Externí odkaz:
http://arxiv.org/abs/2411.13983
Autor:
Lee, Hotae, Borrelli, Francesco
We propose a novel Stochastic Model Predictive Control (MPC) for uncertain linear systems subject to probabilistic constraints. The proposed approach leverages offline learning to extract key features of affine disturbance feedback policies, signific
Externí odkaz:
http://arxiv.org/abs/2411.13935
Autor:
Preston, Riley J., Ke, Yaling, Rudge, Samuel L., Hertl, Nils, Borrelli, Raffaele, Maurer, Reinhard J., Thoss, Michael
Nonadiabatic coupling between electrons and molecular motion at metal surfaces leads to energy dissipation and dynamical steering effects during chemical surface dynamics. We present a theoretical approach to the scattering of molecules from metal su
Externí odkaz:
http://arxiv.org/abs/2410.05142
Autor:
Borrelli, Dario
This Letter introduces a generalization of known duplication-divergence models for growing random graphs. This general duplication-divergence model includes a new coupled divergence asymmetry rate, which allows to obtain the structure of random growi
Externí odkaz:
http://arxiv.org/abs/2409.16943
Autor:
Korhonen, Keijo, Vappula, Hetta, Glos, Adam, Cattaneo, Marco, Zimborás, Zoltán, Borrelli, Elsi-Mari, Rossi, Matteo A. C., García-Pérez, Guillermo, Cavalcanti, Daniel
Achieving high-precision measurements on near-term quantum devices is critical for advancing quantum computing applications. In this paper, we explore several practical techniques to enhance measurement accuracy using randomized measurements, focusin
Externí odkaz:
http://arxiv.org/abs/2409.02575
Autor:
Takahashi, Hideaki, Borrelli, Raffaele
The accurate description of the interaction of a quantum system with a its environment is a challenging problem ubiquitous across all areas of physics, and lies at the foundation of quantum mechanics theory. Here we pioneer a new strategy to create d
Externí odkaz:
http://arxiv.org/abs/2407.18880
Autor:
Kopp, Fionna B., Borrelli, Francesco
We present a Learning Model Predictive Controller (LMPC) for multi-modal systems performing iterative control tasks. Assuming availability of historical data, our goal is to design a data-driven control policy for the multi-modal system where the cur
Externí odkaz:
http://arxiv.org/abs/2407.06313
Autor:
Fork, Thomas, Borrelli, Francesco
We present a novel control-oriented motorcycle model and use it for computing racing lines on a nonplanar racetrack. The proposed model combines recent advances in nonplanar road models with the dynamics of motorcycles. Our approach considers the add
Externí odkaz:
http://arxiv.org/abs/2406.01726