Results 141 to 150 of about 6,488,304 (373)

Neural Networks Architecture Evaluation in a Quantum Computer

, 2017
In this work, we propose a quantum algorithm to evaluate neural networks architectures named Quantum Neural Network Architecture Evaluation (QNNAE). The proposed algorithm is based on a quantum associative memory and the learning algorithm for artificial
da Silva, Adenilton José, de Oliveira, Rodolfo Luan F.   +1 more
core   +1 more source

Recycling of Thermoplastics with Machine Learning: A Review

Advanced Functional Materials, EarlyView.
This review shows how machine learning is revolutionizing mechanical, chemical, and biological pathways, overcoming traditional challenges and optimizing sorting, efficiency, and quality. It provides a detailed analysis of effective feature engineering strategies and establishes a forward‐looking research agenda for a truly circular thermoplastic ...
Rodrigo Q. Albuquerque, Florian Stephan, Annalena Pongratz, Christian Brütting, Katharina Krause, Holger Ruckdäschel   +5 more
wiley   +1 more source

Quantum homotopy perturbation method for nonlinear dissipative ordinary differential equations

New Journal of Physics, 2021
While quantum computing provides an exponential advantage in solving linear differential equations, there are relatively few quantum algorithms for solving nonlinear differential equations.
Cheng Xue, Yu-Chun Wu, Guo-Ping Guo
doaj   +1 more source

New summing algorithm using ensemble computing

, 2002
We propose an ensemble algorithm, which provides a new approach for evaluating and summing up a set of function samples. The proposed algorithm is not a quantum algorithm, insofar it does not involve quantum entanglement.
Abrams D S, Beals R, Brassard G, C D Helon, Deutsch D, DiVincenzo D P, Dunford N, Ernst R R, Grover L K, Heinrich S, Heinrich S, Lorentz G G, Nayak A, Nielsen M A, Shor P, Simon D R, Traub J F, V Protopopescu, Vapnik V N   +18 more
core   +1 more source

Enhanced Switching Performance in Single‐Crystalline PbTiO3 Ferroelectric Memristors for Replicating Synaptic Plasticity

Advanced Functional Materials, EarlyView.
This study demonstrated single‐crystalline PbTiO3‐based memristors with atomically sharp interfaces, well‐ordered lattices, and minimal lattice mismatch. The devices exhibited an ON/OFF ratio exceeding 105, high stability, and rich resistance‐state modulation.
Haining Li, Zhiqiang Liao, Risa Kataoka, Md Sarker Shamim, Takeshi Kijima, Hiroyasu Yamahara, Hitoshi Tabata, Munetoshi Seki   +7 more
wiley   +1 more source

Unveiling Phonon Contributions to Thermal Conductivity and the Applicability of the Wiedemann—Franz Law in Ruthenium and Tungsten Thin Films

Advanced Functional Materials, EarlyView.
Thermal transport in Ru and W thin films is studied using steady‐state thermoreflectance, ultrafast pump–probe spectroscopy, infrared‐visible spectroscopy, and computations. Significant Lorenz number deviations reveal strong phonon contributions, reaching 45% in Ru and 62% in W.
Md. Rafiqul Islam, Pravin Karna, Niraj Bhatt, Sandip Thakur, Helge Heinrich, Daniel M. Hirt, Saman Zare, Christopher Jezewski, Rinus T.P. Lee, Kandabara Tapily, John T. Gaskins, Colin D. Landon, Sean W. King, Ashutosh Giri, Patrick E. Hopkins   +14 more
wiley   +1 more source

Grover Adaptive Search With Fewer Queries

IEEE Access
In binary optimization problems, where the goal is to find the input $\boldsymbol {x}$ that minimizes a given objective function, Grover adaptive search (GAS) is a well-known quantum algorithm that provides quadratic speedup when compared with the ...
Hiroaki Ominato, Takahiro Ohyama, Koichiro Yamaguchi   +2 more
doaj   +1 more source

Quantum Modeling

, 2003
We present a modification of Simon's algorithm that in some cases is able to fit experimentally obtained data to appropriately chosen trial functions with high probability.
Goldstein, Darin
core   +1 more source

From Spin to Star: Ultrafast Dual‐Gradient Centrifugal Microfluidics for Scalable High‐Throughput and Combinatorial Nanomaterial Synthesis

Advanced Functional Materials, EarlyView.
A dual‐gradient centrifugal microfluidic platform enables ultrafast, high‐throughput screening of nanomaterials in 90 reaction chambers. Through siphon‐based aliquoting and automated gradient generation, the system achieves combinatorial synthesis of silver nanoparticles with diverse morphologies.
Hiep Van Nguyen, Vu Minh Phan, Tae Seok Seo   +2 more
wiley   +1 more source

Finding Key Nodes in Complex Networks Through Quantum Deep Reinforcement Learning

Entropy
Identifying key nodes in networks is a fundamental problem in network science. This study proposes a quantum deep reinforcement learning (QDRL) framework that integrates reinforcement learning with a variational quantum graph neural network, effectively ...
Juechan Xiong, Xiao-Long Ren, Linyuan Lü   +2 more
doaj   +1 more source