Results 101 to 110 of about 8,288,417 (402)
Resource Placement for Rate and Fidelity Maximization in Quantum Networks [PDF]
arXiv, 2023 Existing classical optical network infrastructure cannot be immediately used for quantum network applications due to photon loss. The first step towards enabling quantum networks is the integration of quantum repeaters into optical networks. However, the expenses and intrinsic noise inherent in quantum hardware underscore the need for an efficient ...
arxiv
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
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
A quantum network stack and protocols for reliable entanglement-based networks [PDF]
New Journal of Physics, 2018 We present a stack model for breaking down the complexity of entanglement-based quantum networks. More specifically, we focus on the structures and architectures of quantum networks and not on concrete physical implementations of network elements.
A. Pirker, W. Dür
semanticscholar +1 more source
EntangleNet: Theoretical Reestablishment of Entanglement in Quantum Networks †
Applied Sciences, 2018 In the practical context of quantum networks, the most reliable method of transmitting quantum information is via teleportation because quantum states are highly sensitive. However, teleportation consumes a shared maximally entangled state.
Mihai-Zicu Mina +1 more
doaj +1 more source
Quantum network routing and local complementation [PDF]
npj Quantum Information, 2018 Quantum communication between distant parties is based on suitable instances of shared entanglement. For efficiency reasons, in an anticipated quantum network beyond point-to-point communication, it is preferable that many parties can communicate ...
F. Hahn, A. Pappa, J. Eisert
semanticscholar +1 more source
Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials
Advanced Engineering Materials, EarlyView.This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani +4 more
wiley +1 more source
Fully Device-Independent Model on Quantum Networks [PDF]
Physical Review Research, 4, 013203(2022), 2021 Bell inequality can provide a useful witness for device-independent applications with quantum (or post-quantum) eavesdroppers. This feature holds only for single entangled systems. Our goal is to explore device-independent model for quantum networks.
arxiv
Quantum Network Nodes Based on Diamond Qubits with an Efficient Nanophotonic Interface. [PDF]
Physical Review Letters, 2019 Quantum networks require functional nodes consisting of stationary registers with the capability of high-fidelity quantum processing and storage, which efficiently interface with photons propagating in an optical fiber.
Christian Nguyen +10 more
semanticscholar +1 more source
Shape Memory Polymer‐Based Hook‐and‐Loop Fastener for Robust Bonding and on‐Demand Easy Separation
Advanced Engineering Materials, EarlyView.A 3D shape memory polymer‐based hook‐and‐loop fastener, fabricated using projection microstereolithography and molding, offers tunable bonding strength through temperature control. When heated from 25 to 70 °C, the fastener softens and deforms easily, reducing bonding strength by 20‐fold for on‐demand easy separation.
Chen Yang +5 more
wiley +1 more source