Results 41 to 50 of about 5,709 (252)

Intermediate Resistive State in Wafer‐Scale Vertical MoS2 Memristors Through Lateral Silver Filament Growth for Artificial Synapse Applications

Advanced Functional Materials, EarlyView.
In MOCVD MoS2 memristors, a current compliance‐regulated Ag filament mechanism is revealed. The filament ruptures spontaneously during volatile switching, while subsequent growth proceeds vertically through the MoS2 layers and then laterally along the van der Waals gaps during nonvolatile switching.
Yuan Fa, Milan Buttberg, Ke Ran, Rana Walied Ahmad, Dennis Braun, Lukas Völkel, Jimin Lee, Sofía Cruces, Bart Macco, Bárbara Canto, Holger Lerch, Thorsten Wahlbrink, Holger Kalisch, Michael Heuken, Andrei Vescan, Joachim Mayer, Zhenxing Wang, Ilia Valov, Stephan Menzel, Max C. Lemme   +19 more
wiley   +1 more source

On the Use of the Quantum Alternating Operator Ansatz in Quantum-Informed Recursive Optimization: A Case Study on the Minimum Vertex Cover

AppliedMath
In recent years, several quantum algorithms have been proposed for addressing combinatorial optimization problems. Among them, the Quantum Approximate Optimization Algorithm (QAOA) has become a widely used approach.
Pablo Ramos-Ruiz, Antonio Miguel Fuentes-Jiménez, José E. Ramos-Ruiz, Inmaculada Jiménez-Manchado   +3 more
doaj   +1 more source

Quantum Approximate Optimization Algorithm with Sparsified Phase Operator

2022 IEEE International Conference on Quantum Computing and Engineering (QCE), 2022
The Quantum Approximate Optimization Algorithm (QAOA) is a promising candidate algorithm for demonstrating quantum advantage in optimization using near-term quantum computers. However, QAOA has high requirements on gate fidelity due to the need to encode the objective function in the phase separating operator, requiring a large number of gates that ...
Xiaoyuan Liu 0001, Ruslan Shaydulin, Ilya Safro   +2 more
openaire   +2 more sources

Optoelectronic Synaptic Devices Using Molecular Telluride Phase‐Change Inks for Three‐Factor Learning

Advanced Functional Materials, EarlyView.
Optoelectronic synaptic devices based on solution‐processed molecular telluride GST‐225 phase‐change inks are demonstrated for three‐factor learning. A global optical signal broadcast through a silicon waveguide induces non‐volatile conductance updates exclusively in locally electrically flagged memristors.
Kevin Portner, Dhananjeya Kumaar, Giacomo Torti, Killian Keller, Till Zellweger, Florian M. Schenk, Christoph Weilenmann, Daniel Chelladurai, Vara Prasad Jonnalagadda, Ghazi Sarwat Syed, Vanessa Wood, Jürg Leuthold, Alexandros Emboras, Maksym Yarema, Mathieu Luisier   +14 more
wiley   +1 more source

The effect of classical optimizers and Ansatz depth on QAOA performance in noisy devices

Scientific Reports
The Quantum Approximate Optimization Algorithm (QAOA) is a variational quantum algorithm for Near-term Intermediate-Scale Quantum computers (NISQ) providing approximate solutions for combinatorial optimization problems.
Aidan Pellow-Jarman, Shane McFarthing, Ilya Sinayskiy, Daniel K. Park, Anban Pillay, Francesco Petruccione   +5 more
doaj   +1 more source

Quantum computational phase transition in combinatorial problems

npj Quantum Information, 2022
Quantum Approximate Optimization algorithm (QAOA) aims to search for approximate solutions to discrete optimization problems with near-term quantum computers.
Bingzhi Zhang, Akira Sone, Quntao Zhuang
doaj   +1 more source

Three‐Dimensional Anomalous Hall Sensing Enabled By Spin–Orbit Torque Driven Domain Reconfiguration In Chiral Multilayers

Advanced Functional Materials, EarlyView.
A three‐dimensional magnetic field sensor is realized in chiral W/CoFeB/MgO multilayers, where spin–orbit torques reversibly reconfigure homochiral stripe domains. The symmetry of the torque enables offset‐free in‐plane sensing, while the reproducible domain reconfiguration extends the linear out‐of‐plane range. An anomalous Hall readout delivers large‐
Sabri Koraltan, Rahul Gupta, Reshma Peremadathil Pradeep, Fabian Kammerbauer, Iryna Kononenko, Klemens Prügl, Michael Kirsch, Bernd Aichner, Santiago Helbig, Florian Bruckner, Claas Abert, Andrada Oana Mandru, Armin Satz, Gerhard Jakob, Hans Josef Hug, Mathias Kläui, Dieter Suess   +16 more
wiley   +1 more source

Quantum Approximate Optimization Algorithm for the Max-Cut Problem: JavaScript Programming Language Implementation

Proceedings of the International Conference on Applied Innovations in IT
In this paper, we present the implementation of the Quantum Approximate Optimization Algorithm (QAOA) for the Max-Cut problem using the JavaScript programming language.
Dmytro Sapozhnyk
doaj   +1 more source

A Quantum Approximate Optimization Algorithm

, 2014
We introduce a quantum algorithm that produces approximate solutions for combinatorial optimization problems. The algorithm depends on a positive integer p and the quality of the approximation improves as p is increased. The quantum circuit that implements the algorithm consists of unitary gates whose locality is at most the locality of the objective ...
Farhi, Edward, Goldstone, Jeffrey, Gutmann, Sam   +2 more
openaire   +2 more sources

Two‐Photon Grayscale Lithography (2GL) of High Mechanical and Optical Quality 3D Silica Glass Microstructures

Advanced Functional Materials, EarlyView.
Two‐photon grayscale lithography (2GL) enables high‐speed and precise 3D printing of thermolyzed silica glass microstructures with optical‐grade surface quality, high quality factors, and mechanical strength utilizing a custom‐made pre‐glass resist based on polyhedral oligomeric silsesquioxane (POSS) modified with a high‐sensitivity Norrish type II ...
Jonathan L. G. Schneider, Jiajie Liang, Paul Somers, Martin Wegener, Jens Bauer   +4 more
wiley   +1 more source