Zobrazeno 1 - 10
of 228
pro vyhledávání: '"Caruso, Filippo"'
Recent years have seen significant growth of quantum technologies, and specifically quantum sensing, both in terms of the capabilities of advanced platforms and their applications. One of the leading platforms in this context is nitrogen-vacancy (NV)
Externí odkaz:
http://arxiv.org/abs/2409.12820
Autor:
Canonici, Ettore, Caruso, Filippo
Among all the physical platforms for the realization of a Quantum Processing Unit (QPU), neutral atom devices are emerging as one of the main players. Their scalability, long coherence times, and the absence of manufacturing errors make them a viable
Externí odkaz:
http://arxiv.org/abs/2409.11876
Autor:
Cappiello, Giacomo, Caruso, Filippo
Quantum machine learning is a new research field combining quantum information science and machine learning. Quantum computing technologies seem to be particularly well suited to solving problems in the health sector in an efficient way, because they
Externí odkaz:
http://arxiv.org/abs/2405.00755
Autor:
Das, Sreetama, Caruso, Filippo
The Symmetric group $S_{n}$ manifests itself in large classes of quantum systems as the invariance of certain characteristics of a quantum state with respect to permuting the qubits. The subgroups of $S_{n}$ arise, among many other contexts, to descr
Externí odkaz:
http://arxiv.org/abs/2404.18198
Publikováno v:
2024 Mach. Learn.: Sci. Technol. 5 035041
The availability of data is limited in some fields, especially for object detection tasks, where it is necessary to have correctly labeled bounding boxes around each object. A notable example of such data scarcity is found in the domain of marine bio
Externí odkaz:
http://arxiv.org/abs/2402.06784
Geometric deep learning refers to the scenario in which the symmetries of a dataset are used to constrain the parameter space of a neural network and thus, improve their trainability and generalization. Recently this idea has been incorporated into t
Externí odkaz:
http://arxiv.org/abs/2312.13250
Quantum state tomography is the problem of estimating a given quantum state. Usually, it is required to run the quantum experiment - state preparation, state evolution, measurement - several times to be able to estimate the output quantum state of th
Externí odkaz:
http://arxiv.org/abs/2310.19748
Publikováno v:
Adv Quantum Technol. 2024, 2300401
Generative models realized with machine learning techniques are powerful tools to infer complex and unknown data distributions from a finite number of training samples in order to produce new synthetic data. Diffusion models are an emerging framework
Externí odkaz:
http://arxiv.org/abs/2308.12013
Publikováno v:
Adv Quantum Technol. 7 (2024) 2300192
Neutral atoms devices represent a promising technology that uses optical tweezers to geometrically arrange atoms and modulated laser pulses to control the quantum states. A neutral atoms Noisy Intermediate Scale Quantum (NISQ) device is developed by
Externí odkaz:
http://arxiv.org/abs/2306.15628
Autor:
Martina, Stefano, Hernández-Gómez, Santiago, Gherardini, Stefano, Caruso, Filippo, Fabbri, Nicole
Publikováno v:
Machine Learning: Science and Technology 4 (2), 02LT01 (2023)
The undesired interaction of a quantum system with its environment generally leads to a coherence decay of superposition states in time. A precise knowledge of the spectral content of the noise induced by the environment is crucial to protect qubit c
Externí odkaz:
http://arxiv.org/abs/2301.05079