Zobrazeno 1 - 10
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pro vyhledávání: '"Kalev P"'
Autor:
Mehra, Devika, Kalev, Amir
In the past few years, the field of quantum computing is reaching new heights with significant advancements in algorithm development. In parallel to rising research areas, companies and research labs are actively working to build fault-tolerant quant
Externí odkaz:
http://arxiv.org/abs/2409.14598
Autor:
Becker, Gal, Janssen, Jerome Nicolas, Kalev-Altman, Rotem, Meilich, Dana, Shitrit, Astar, Penn, Svetlana, Reifen, Ram, Ornan, Efrat Monsonego
By 2050, the global population will exceed 9 billion, demanding a 70% increase in food production. Animal proteins alone may not suffice and contribute to global warming. Alternative proteins such as legumes, algae, and insects are being explored, bu
Externí odkaz:
http://arxiv.org/abs/2407.21087
Autor:
Kalev, Amir, Hen, Itay
We propose a natural, parameter-free, discrete-variable formulation of Feynman path integrals. We show that for discrete-variable quantum systems, Feynman path integrals take the form of walks on the graph whose weighted adjacency matrix is the Hamil
Externí odkaz:
http://arxiv.org/abs/2407.11231
Nuclear magnetic resonance spectroscopy is a prominent analytical tool, with applications throughout chemistry, medicine and solid-state physics. While conventional NMR spectrometers require large magnetic fields to interrogate a sample, recent advan
Externí odkaz:
http://arxiv.org/abs/2406.09340
Autor:
Plaksin, Anton, Kalev, Vitaly
Robust Reinforcement Learning (RRL) is a promising Reinforcement Learning (RL) paradigm aimed at training robust to uncertainty or disturbances models, making them more efficient for real-world applications. Following this paradigm, uncertainty or di
Externí odkaz:
http://arxiv.org/abs/2405.02044
We re-examine the CHSH experiment, which we abstract here as a multi-round game played between two parties with each party reporting a single binary outcome at each round. We explore in particular the role that symmetries, and the spontaneous breakin
Externí odkaz:
http://arxiv.org/abs/2403.07935
We introduce a novel approach for estimating the spectrum of quantum many-body Hamiltonians, and more generally, of Hermitian operators, using quantum time evolution. In our approach we are evolving a maximally mixed state under the Hamiltonian of in
Externí odkaz:
http://arxiv.org/abs/2312.00687
Publikováno v:
Phys Rev A 110 042409 (2024)
Quantum convolutional neural network (QCNN), an early application for quantum computers in the NISQ era, has been consistently proven successful as a machine learning (ML) algorithm for several tasks with significant accuracy. Derived from its classi
Externí odkaz:
http://arxiv.org/abs/2309.01829
Publikováno v:
BMC Research Notes, Vol 17, Iss 1, Pp 1-9 (2024)
Abstract Background Osteocalcin is a small protein abundant in the bone extracellular-matrix, that serves as a marker for mature osteoblasts. To become activated, osteocalcin undergoes a specific post-translational carboxylation. Osteocalcin is expre
Externí odkaz:
https://doaj.org/article/8c543f398a9444959e4ab7544822590a
Autor:
Majidy, Shayan, Braasch Jr., William F., Lasek, Aleksander, Upadhyaya, Twesh, Kalev, Amir, Halpern, Nicole Yunger
Publikováno v:
Nat. Rev. Phys. 5, 689-698 (2023)
Thermodynamic systems typically conserve quantities ("charges") such as energy and particle number. The charges are often assumed implicitly to commute with each other. Yet quantum phenomena such as uncertainty relations rely on observables' failure
Externí odkaz:
http://arxiv.org/abs/2306.00054