Results 81 to 90 of about 259,803 (278)

Discovering emergent connections in quantum physics research via dynamic word embeddings

Machine Learning: Science and Technology
As the field of quantum physics evolves, researchers naturally form subgroups focusing on specialized problems. While this encourages in-depth exploration, it can limit the exchange of ideas across structurally similar problems in different subfields. To
Felix Frohnert, Xuemei Gu, Mario Krenn, Evert van Nieuwenburg   +3 more
doaj   +1 more source

Spectrally Tunable 2D Material‐Based Infrared Photodetectors for Intelligent Optoelectronics

Advanced Functional Materials, EarlyView.
Intelligent optoelectronics through spectral engineering of 2D material‐based infrared photodetectors. Abstract The evolution of intelligent optoelectronic systems is driven by artificial intelligence (AI). However, their practical realization hinges on the ability to dynamically capture and process optical signals across a broad infrared (IR) spectrum.
Junheon Ha, Yingshan Ma, Yong Nam An, Sung‐Un An, Hyeon Hak Jung, Suvi‐Tuuli Varjamo, Jiwon Yoo, Junho Min, Hanvit Kim, Faisal Ahmed, Sang Hoon Chae, Young Min Song, Weiwei Cai, Tawfique Hasan, Zhipei Sun, Dong‐Ho Kang, Hyeon‐Jin Shin, Yunyun Dai, Hoon Hahn Yoon   +18 more
wiley   +1 more source

Integrative Approaches for DNA Sequence‐Controlled Functional Materials

Advanced Functional Materials, EarlyView.
DNA is emerging as a programmable building block for functional materials with applications in biomimicry, biochemical, and mechanical information processing. The integration of simulations, experiments, and machine learning is explored as a means to bridge DNA sequences with macroscopic material properties, highlighting current advances and providing ...
Aaron Gadzekpo, Ewa Anna Oprzeska‐Zingrebe, Mariana Kozlowska, Lennart Hilbert, Iliya D. Stoev   +4 more
wiley   +1 more source

Quantum Algorithm Implementations for Beginners

, 2020
As quantum computers become available to the general public, the need has arisen to train a cohort of quantum programmers, many of whom have been developing classical computer programs for most of their careers.
Adedoyin, Adetokunbo, Ambrosiano, John, Anisimov, Petr, Bärtschi, Andreas, Casper, William, Chennupati, Gopinath, Coffrin, Carleton, Coles, Patrick J., Djidjev, Hristo, Eidenbenz, Stephan, Gunter, David, J., Abhijith, Karra, Satish, Lemons, Nathan, Lin, Shizeng, Lokhov, Andrey Y., Malyzhenkov, Alexander, Mascarenas, David, Mniszewski, Susan, Nadiga, Balu, O'Malley, Daniel, Oyen, Diane, Pakin, Scott, Prasad, Lakshman, Roberts, Randy, Romero, Phillip, Santhi, Nandakishore, Sinitsyn, Nikolai, Swart, Pieter J., Vuffray, Marc, Wendelberger, James G., Yoon, Boram, Zamora, Richard, Zhu, Wei   +33 more
core  

Type-II Quantum Algorithms

, 2005
We review and analyze the hybrid quantum-classical NMR computing methodology referred to as Type-II quantum computing. We show that all such algorithms considered so far within this paradigm are equivalent to some classical lattice-Boltzmann scheme.
Berman, Boghosian, Boghosian, Bruce M. Boghosian, Chuang, Cory, Higuera, Meyer, Peter J. Love, Pravia, Succi, Vahala, Vahala, Yepez, Yepez, Yepez, Yepez, Yepez   +17 more
core   +2 more sources

Quantum Computers and Quantum Algorithms. Part 2. Quantum Algorithms

Izvestiya of Saratov University. New Series. Series: Mathematics. Mechanics. Informatics, 2016
The paper discusses principles of construction for quantum algorithms and their main features. Distinction of quantum parallelism from classical methods of high-performance computing is shown. Quantum algorithms design strategy is presented based on quantum circuits.
openaire   +1 more source

Melt Grafting of Geometry‐Tailored Voltage Stabilizers for High‐Performance Polypropylene Insulation

Advanced Functional Materials, EarlyView.
A scalable one‐step melt grafting strategy is developed to enhance the dielectric properties of isotactic polypropylene by covalently incorporating thermally stable aromatic voltage stabilizers. This solvent‐free approach improves volume resistivity and DC breakdown strength through deep trap formation and charge localization, offering a sustainable ...
Nazirul Mubin bin Normansah, Taehoon Kwon, Hana Kim, Shin‐Ki Hong, Seung Won Lee, Se Hee Lee, Ik‐Su Kwon, Masahiro Kozako, Minhee Kim, Seunggun Yu   +9 more
wiley   +1 more source

Quantum Optimization and Quantum Learning: A Survey

IEEE Access, 2020
Quantum mechanism, which has received widespread attention, is in continuous evolution rapidly. The powerful computing power and high parallel ability of quantum mechanism equip the quantum field with broad application scenarios and brand-new vitality ...
Yangyang Li, Mengzhuo Tian, Guangyuan Liu, Cheng Peng, Licheng Jiao   +4 more
doaj   +1 more source

Parallel Evaluation of Quantum Algorithms for Computational Fluid Dynamics [PDF]

, 2017
The development and evaluation of quantum computing algorithms for computational fluid dynamics is described along with a detailed analysis of the parallel performance of a quantum computer simulator developed as part of the present work.
Barakos, G.N., Steijl, R.
core  

Electron–Matter Interactions During Electron Beam Nanopatterning

Advanced Functional Materials, EarlyView.
This article reviews the electron–matter interactions important to nanopatterning with electron beam lithography (EBL). Electron–matter interactions, including secondary electron generation routes, polymer radiolysis, and electron beam induced charging, are discussed.
Camila Faccini de Lima, Prathiba Thamizhavel, Taylor J. Woehl   +2 more
wiley   +1 more source