Results 81 to 90 of about 1,407,300 (323)
Quantum computers and quantum coherence [PDF]
Journal of Magnetism and Magnetic Materials, 1999 13 pages, latex, one eps figure. Prepared for special issue of J. Mag. Magn. Matl., "Magnetism beyond 2000".
DiVincenzo, D. P., Loss, D.
openaire +4 more sources
Advanced Engineering Materials, EarlyView.The MaterialDigital initiative drives the digital transformation of material science by promoting findable, accessible, interoperable, and reusable principles and enhancing data interoperability. This article explores the role of scientific workflows, highlights challenges in their adoption, and introduces the Workflow Store as a key tool for sharing ...
Simon Bekemeier +37 more
wiley +1 more source
New Journal of Physics, 2023 Quantum contextuality is one of the most recognized resources in quantum communication and computing scenarios. We provide a new quantifier of this resource, the rank of contextuality (RC).
Karol Horodecki +8 more
doaj +1 more source
Semiosis as a Source of Providing Empirical Phenomena with a New Type of Cohesion
Entropy, 2023 Embodying the indexical signs is vital to semiosis as a cohesive material agency mediating between consequents and antecedents. One unique factor of biology compared with standard physics and chemistry is the cohesion enabling the biological components ...
Koichiro Matsuno
doaj +1 more source
Quantum Dissipation and Quantum Noise [PDF]
Annals of Physics, 1995 We derive the exact action for a damped mechanical system ( and the special case of the linear oscillator) from the path integral formulation of the quantum Brownian motion problem developed by Schwinger and by Feynman and Vernon. The doubling of the phase-space degrees of freedom for dissipative systems and thermal field theories is discussed and the ...
Giuseppe Vitiello +2 more
openaire +4 more sources
Advanced Engineering Materials, EarlyView.In this study, the mechanical response of Y‐shaped core sandwich beams under compressive loading is investigated, using deep feed‐forward neural networks (DFNNs) for predictive modeling. The DFNN model accurately captures stress–strain behavior, influenced by design parameters and loading rates.
Ali Khalvandi +4 more
wiley +1 more source
Quantum geometry and quantum algorithms [PDF]
Journal of Physics A: Mathematical and Theoretical, 2007 Submitted to J. Phys. A: Math-Gen, for the special issue ``The Quantum Universe'' in honor of G.
Garnerone Silvano +2 more
openaire +4 more sources
Advanced Engineering Materials, EarlyView.Molecular dynamics simulations are advancing the study of ribonucleic acid (RNA) and RNA‐conjugated molecules. These developments include improvements in force fields, long‐timescale dynamics, and coarse‐grained models, addressing limitations and refining methods.
Kanchan Yadav, Iksoo Jang, Jong Bum Lee
wiley +1 more source
Entropy, 2019 The role of physics is to explain observed phenomena [...]
Lev Vaidman
doaj +1 more source
Quantum Computers and Quantum Computer Languages: Quantum Assembly Language and Quantum C Language [PDF]
arXiv, 2002 We show a representation of Quantum Computers defines Quantum Turing Machines with associated Quantum Grammars. We then create examples of Quantum Grammars. Lastly we develop an algebraic approach to high level Quantum Languages using Quantum Assembly language and Quantum C language as examples.
arxiv