Results 81 to 90 of about 1,060,572 (311)

High-fidelity sub-microsecond single-shot electron spin readout above 3.5 K

Nature Communications
Electron spin qubits in semiconductors are a promising platform for large-scale quantum computing due to their small size, long coherence and manufacturability.
H. Geng, M. Kiczynski, A. V. Timofeev, E. N. Osika, D. Keith, J. Rowlands, L. Kranz, R. Rahman, Y. Chung, J. G. Keizer, S. K. Gorman, M. Y. Simmons   +11 more
doaj   +1 more source

The simplest demonstrations of quantum nonlocality

New Journal of Physics, 2012
We investigate the complexity cost of demonstrating the key types of nonclassical correlations—Bell inequality violation, Einstein, Podolsky, Rosen (EPR)-steering, and entanglement—with independent agents, theoretically and in a photonic experiment.
Dylan J Saunders, Matthew S Palsson, Geoff J Pryde, Andrew J Scott, Stephen M Barnett, Howard M Wiseman   +5 more
doaj   +1 more source

Quantum Computation as Geometry [PDF]

Science, 2006
Quantum computers hold great promise for solving interesting computational problems, but it remains a challenge to find efficient quantum circuits that can perform these complicated tasks. Here we show that finding optimal quantum circuits is essentially equivalent to finding the shortest path between two points in a certain curved geometry.
Nielsen, Michael A., Dowling, Mark R., Gu, Mile Gu, Doherty, Andrew C.   +3 more
openaire   +5 more sources

ALD‐Assisted VO2 for Memristor Application

Advanced Engineering Materials, EarlyView.
This work demonstrates a strategy for depositing VOx using thermal atomic layer deposition (ALD) followed by thermal annealing to synthesize VO2. The thin film and core/shell wire memristors exhibit excellent switching performance and are highly sensitive to ambient temperature.
Jun Peng, Daniel Hensel, Rakshith Venugopal, Lucas Rave, Colin Schormann, Sebastian Koch, Robert H. Blick, Robert Zierold   +7 more
wiley   +1 more source

Flexible learning of quantum states with generative query neural networks

Nature Communications, 2022
The use of machine learning to characterise quantum states has been demonstrated, but usually training the algorithm using data from the same state one wants to characterise.
Yan Zhu, Ya-Dong Wu, Ge Bai, Dong-Sheng Wang, Yuexuan Wang, Giulio Chiribella   +5 more
doaj   +1 more source

Unconventional Quantum Computing Devices [PDF]

in `Unconventional Models of Computation,' C.S. Calude, J. Casti, M.J. Dinneen, eds., Springer, Singapore, 1998, 2000
This paper investigates a variety of unconventional quantum computation devices, including fermionic quantum computers and computers that exploit nonlinear quantum mechanics. It is shown that unconventional quantum computing devices can in principle compute some quantities more rapidly than `conventional' quantum computers.
arxiv  

Exploring the Effect of Polymer Addition to the Room Temperature Synthesis of Colloidal Lead Halide Perovskite for Better Stability, Higher Passivation, and More Uniform Particle Size

Advanced Engineering Materials, EarlyView.
This study examines the incorporation of the polymer BUTVAR during the synthesis of various perovskite structures at room temperature The study demonstrates that the incorporation of the polymer solution enhances the optical characteristics and improves the shape uniformity of the resultant perovskite material without altering the inherent structure of
Elshaimaa Darwish, Jack Elia, Miroslaw Batentschuk, Andres Osvet, Christoph J. Brabec   +4 more
wiley   +1 more source

Valley interference and spin exchange at the atomic scale in silicon

Nature Communications, 2020
Coupled donor wavefunctions in silicon are spatially resolved to evidence valley interference processes. An atomic-scale understanding of the interplay between interference, envelope anisotropy and crystal symmetries unveils a placement strategy ...
B. Voisin, J. Bocquel, A. Tankasala, M. Usman, J. Salfi, R. Rahman, M. Y. Simmons, L. C. L. Hollenberg, S. Rogge   +8 more
doaj   +1 more source

Geometrical perspective on quantum states and quantum computation [PDF]

arXiv, 2013
We interpret quantum computing as a geometric evolution process by reformulating finite quantum systems via Connes' noncommutative geometry. In this formulation, quantum states are represented as noncommutative connections, while gauge transformations on the connections play a role of unitary quantum operations. Thereby, a geometrical model for quantum
arxiv  

Recent Progress on 2D‐Material‐Based Smart Textiles: Materials, Methods, and Multifunctionality

Advanced Engineering Materials, EarlyView.
Advancements in 2D‐material‐integrated smart textiles are reviewed, with a focus on materials, fabrication methods, and multifunctional applications, including energy harvesting, monitoring, EMI shielding, energy storage, and thermal management. The discussion addresses key challenges and provides insights into the future development of next‐generation
Yong Choi, Jiheon Kim, Jaemin Lee, Xinqi Chen, Byungseok Seo, Wonjoon Choi   +5 more
wiley   +1 more source