Results 171 to 180 of about 8,288,417 (402)

Scaling‐Up of Structural Superlubricity: Challenges and Opportunities

Advanced Functional Materials, EarlyView.
At increasing length‐scales, structural superlubricity (SSL) faces challenges from physical and chemical energy dissipation pathways. This study reviews recent experimental and theoretical progress on these challenges facing the scaling‐up of SSL, as well as perspectives on future directions for realizing and manipulating macroscale superlubricity ...
Penghua Ying, Xiang Gao, Diana Berman, Oded Hod, Michael Urbakh   +4 more
wiley   +1 more source

Noise classification in three-level quantum networks by Machine Learning

Machine Learning: Science and Technology
We investigate a machine learning based classification of noise acting on a small quantum network with the aim of detecting spatial or multilevel correlations, and the interplay with Markovianity.
Shreyasi Mukherjee, Dario Penna, Fabio Cirinnà, Mauro Paternostro, Elisabetta Paladino, Giuseppe Falci, Luigi Giannelli   +6 more
doaj   +1 more source

Multifunctional Hydroxyapatite Coated with Gallium Liquid Metal‐Based Silver Nanoparticles for Infection Prevention and Bone Regeneration

Advanced Functional Materials, EarlyView.
A multifunctional hydroxyapatite (HAp) coating integrated with silver‐gallium liquid metal nanoparticles (HAp‐Ag‐GaNPs) exhibits dual antibacterial and osteogenic properties. It effectively inhibits Gram‐positive and Gram‐negative bacteria, including resistant strains, while enhancing bone regeneration.
Ngoc Huu Nguyen, Pengfei Zhang, Fathima Shana Pattar Kadavan, Zhaoning Xu, Tien Thanh Nguyen, Wenshao Li, Manh Tuong Nguyen, Chung Kim Nguyen, Duy Quang Pham, Thi Giang Tuyet Pham, Andrew Hayles, Markos Negash Alemie, Jitraporn Vongsvivut, Vincent Chan, Stephen Peter Kidd, Yunpeng Zhao, Krasimir Vasilev, Vi Khanh Truong   +17 more
wiley   +1 more source

Remote quantum networks based on quantum memories

Nanophotonics
Quantum networks, capable of transmitting arbitrary quantum states, provide a foundation for a wide range of quantum applications, including distributed quantum computing, distributed quantum sensing, and quantum communication.
Zhu Tian-Xiang, Liu Xiao, Zhou Zong-Quan, Li Chuan-Feng   +3 more
doaj   +1 more source

Quantum Wrapper Networking

IEEE Communications Magazine
This manuscript has 5 figures and 7 pages. The very early version of the initial concept of Quantum Wrapper Networking was published in IEEE Photonics Conference 2021 followed by Optical Communications Conference 2023 Paper Tu3H.4 (referenced as [12])
Ben Yoo, S. J., Singh, Sandeep Kumar, On, Mehmet Berkay, Gül, Gamze, Kanter, Gregory S., Proietti, Roberto, Kumar, Prem   +6 more
openaire   +2 more sources

Gate‐Tunable Hole Transport in In‐Plane Ge Nanowires by V‐Groove Confined Selective Epitaxy

Advanced Functional Materials, EarlyView.
Ge nanowires are promising for hole spin‐based quantum processors, requiring direct integration onto Si wafers. This work introduces V‐groove‐confined selective epitaxy for in‐plane nanowire growth on Si. Structural and low‐temperature transport measurements confirm their high crystalline quality, gate‐tunable hole densities, and mobility.
Santhanu Panikar Ramanandan, Alban Morelle, Michele Masseroni, Shelly Ben‐David, Sara Martí‐Sánchez, Victor Boureau, Alok Rudra, Thomas Ihn, Jordi Arbiol, W. Craig Carter, Klaus Ensslin, Anna Fontcuberta i Morral   +11 more
wiley   +1 more source

On the Bipartite Entanglement Capacity of Quantum Networks

IEEE Transactions on Quantum Engineering
We consider the problem of multipath entanglement distribution to a pair of nodes in a quantum network consisting of devices with nondeterministic entanglement swapping capabilities.
Gayane Vardoyan, Emily van Milligen, Saikat Guha, Stephanie Wehner, Don Towsley   +4 more
doaj   +1 more source

Self‐organized Criticality in Neuromorphic Nanowire Networks With Tunable and Local Dynamics

Advanced Functional Materials, EarlyView.
Memristive nanowire networks (NWNs) are shown to be electrically tunable to a critical state where specific local dynamics evaluated by multiterminal characterization are exploited as feature selection in nonlinear transformation (NLT) tasks.
Fabio Michieletti, Davide Pilati, Gianluca Milano, Carlo Ricciardi   +3 more
wiley   +1 more source

Carbon Nanotube 3D Integrated Circuits: From Design to Applications

Advanced Functional Materials, EarlyView.
As Moore's law approaches its physical limits, carbon nanotube (CNT) 3D integrated circuits (ICs) emerge as a promising alternative due to the miniaturization, high mobility, and low power consumption. CNT 3D ICs in optoelectronics, memory, and monolithic ICs are reviewed while addressing challenges in fabrication, design, and integration.
Han‐Yang Liu, Yun Sun, Dong‐Ming Sun, Hui‐Ming Cheng   +3 more
wiley   +1 more source

Quantum codes from neural networks

New Journal of Physics, 2020
We examine the usefulness of applying neural networks as a variational state ansatz for many-body quantum systems in the context of quantum information-processing tasks.
Johannes Bausch, Felix Leditzky
doaj   +1 more source