Results 11 to 20 of about 1,040,714 (170)

Quantum-Sized Zinc Oxide Nanoparticles Synthesised within Mesoporous Silica (SBA-11) by Humid Thermal Decomposition of Zinc Acetate

Crystals, 2020
A modified facile method is presented to synthesise quantum-sized zinc oxide nanoparticles within the pores of a mesoporous silica host (SBA-11). This method eliminates the 3 h alcohol reflux and the basic solution reaction steps of zinc acetate.
Tariq Aqeel, Heather F. Greer
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Quantum Cryptography—A Simplified Undergraduate Experiment and Simulation

Physics, 2022
Quantum cryptography is a topic of considerable interest. A simple and robust experiment and theory for a senior level undergraduate investigation of quantum key distribution are described.
Yuval Bloom, Ilai Fields, Alona Maslennikov, Georgi Gary Rozenman   +3 more
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2023 roadmap for materials for quantum technologies

Materials for Quantum Technology, 2023
Quantum technologies are poised to move the foundational principles of quantum physics to the forefront of applications. This roadmap identifies some of the key challenges and provides insights on material innovations underlying a range of exciting ...
Christoph Becher, Weibo Gao, Swastik Kar, Christian D Marciniak, Thomas Monz, John G Bartholomew, Philippe Goldner, Huanqian Loh, Elizabeth Marcellina, Kuan Eng Johnson Goh, Teck Seng Koh, Bent Weber, Zhao Mu, Jeng-Yuan Tsai, Qimin Yan, Tobias Huber-Loyola, Sven Höfling, Samuel Gyger, Stephan Steinhauer, Val Zwiller   +19 more
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Some q-Fractional Estimates of Trapezoid like Inequalities Involving Raina’s Function

Fractal and Fractional, 2022
In this paper, we derive two new identities involving q-Riemann-Liouville fractional integrals. Using these identities, as auxiliary results, we derive some new q-fractional estimates of trapezoidal-like inequalities, essentially using the class of ...
Kamsing Nonlaopon, Muhammad Uzair Awan, Muhammad Zakria Javed, Hüseyin Budak, Muhammad Aslam Noor   +4 more
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Quantum Based Pseudo-Labelling for Hyperspectral Imagery: A Simple and Efficient Semi-Supervised Learning Method for Machine Learning Classifiers

Remote Sensing, 2022
A quantum machine is a human-made device whose collective motion follows the laws of quantum mechanics. Quantum machine learning (QML) is machine learning for quantum computers.
Riyaaz Uddien Shaik, Aiswarya Unni, Weiping Zeng   +2 more
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Identification of Image Edge Using Quantum Canny Edge Detection Algorithm

Journal of ICT Research and Applications, 2019
Identification of image edges using edge detection is done to obtain images that are sharp and clear. The selection of the edge detection algorithm will affect the result.
Dini Sundani, Sigit Widiyanto, Yuli Karyanti, Dini Tri Wardani   +3 more
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BSIM-CMG compact model for IC CAD: from FinFET to Gate-All-Around FET Technology

Journal of Microelectronic Manufacturing, 2020
We discuss the BSIM-CMG compact model for SPICE simulations of any common multi-gate (CMG) device. This is an industry standard model which has been used extensively for FinFETs IC design and simulation, and has now been extended to accurately model gate-
Avirup Dasgupta, Chenming Hu
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Detection of Chern numbers and entanglement in topological two-species systems through subsystem winding numbers

New Journal of Physics, 2014
Topological invariants, such as the Chern number, characterize topological phases of matter. Here we provide a method to detect Chern numbers in systems with two distinct species of fermion, such as spins, orbitals or several atomic states.
James de Lisle, Suvabrata De, Emilio Alba, Alex Bullivant, Juan J Garcia-Ripoll, Ville Lahtinen, Jiannis K Pachos   +6 more
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Yapay Zekâ Felsefesinin Kuantum Temelleri

Üniversite Araştırmaları Dergisi, 2022
Kuantum fiziği ve Newton fiziğini konu ettiğimiz bu makalede yapay zekânın epistemolojik alt yapısını oluşturan bulanık mantığın gelişimiyle doğrudan ilişkili bilimsel faaliyetin Kuantum fiziği olduğu anlatılacaktır.
Abdurrazak Gültekin
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The Effect of Quantum Learning Method on Students Course Learning [PDF]

Pizhūhish dar Āmūzish-i ̒ulūm-i Pizishkī, 2016
Introduction: Learning is an active and complicated process and Quantum Learning is an educational model that tries to provide complex educational theories through immediate, effective and consistent  implementation in class.
NS Dadgaran, A Khalkhali
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