Results 61 to 70 of about 745,886 (317)
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 NISQ Method to Simulate Hermitian Matrix Evolution
Entropy, 2022 As a universal quantum computer requires millions of error-corrected qubits, one of the current goals is to exploit the power of noisy intermediate-scale quantum (NISQ) devices.
Keren Li, Pan Gao
doaj +1 more source
Manifold Learning for Dimensionality Reduction: Quantum Isomap algorithm [PDF]
arXiv, 2022 Isomap algorithm is a representative manifold learning algorithm. The algorithm simplifies the data analysis process and is widely used in neuroimaging, spectral analysis and other fields. However, the classic Isomap algorithm becomes unwieldy when dealing with large data sets. Our object is to accelerate the classical algorithm with quantum computing,
arxiv
Multipartite entanglement in quantum algorithms [PDF]
Phys. Rev. A 83, 052313 (2011), 2010 We investigate the entanglement features of the quantum states employed in quantum algorithms. In particular, we analyse the multipartite entanglement properties in the Deutsch-Jozsa, Grover and Simon algorithms. Our results show that for these algorithms most instances involve multipartite entanglement.
arxiv +1 more source
Topological Structure of Quantum Algorithms [PDF]
2013 28th Annual ACM/IEEE Symposium on Logic in Computer Science, 2013 33 pages.
openaire +5 more sources
Algorithmic Pseudorandomness in Quantum Setups [PDF]
Physical Review Letters, 2016 4 pages+8 pages appendix, 4 ...
Antonio Acín +7 more
openaire +4 more sources
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
Quantum search algorithms [PDF]
ACM SIGACT News, 2004 We review some of quantum algorithms for search problems: Grover's search algorithm, its generalization to amplitude amplification, the applications of amplitude amplification to various problems and the recent quantum algorithms based on quantum walks.
openaire +3 more sources
Advanced Engineering Materials, EarlyView.Laboratory protocols for producing thin‐film pH electrodes for sterilized single‐use technologies have been successfully developed into a semiautomated workflow, with higher throughput and precision of membrane thickness. Accuracies are within 0.05 pH units versus ground truth, and uncertainty analysis reveals the largest sources of error to be derived
Bingyuan Zhao +4 more
wiley +1 more source