Results 221 to 230 of about 2,524,518 (253)
Advanced Electronic Materials, EarlyView.Passive resistive memory arrays promise efficient in‐memory computing but suffer from sneak paths and programming variability. Here, highly uniform 32 × 32 passive RRAM crossbars are programmed with multilevel precision below 3% error and 99.5% yield.
S. Ricci +6 more
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Advanced Electronic Materials, EarlyView.ABSTRACT Magnetic 2‐dimensional (2D) van der Waals (vdW) materials have garnered tremendous attention. The vdW ferromagnet Fe5Ge1Te2 has a Curie temperature Tc of ≈ 270 K, which is tailorable by tuning the stoichiometry and the Fe deficiency to reach room temperature.
Chih‐Yu Lee +7 more
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Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories
Advanced Energy Materials, EarlyView.In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen +4 more
wiley +1 more source
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Quantum algorithms for quantum dynamics
Nature Computational Science, 2022Among the many computational challenges faced across different disciplines, quantum-mechanical systems pose some of the hardest ones and offer a natural playground for the growing field of quantum technologies. In this Perspective, we discuss quantum algorithmic solutions for quantum dynamics, reporting on the latest developments and offering a ...
Alexander Miessen +3 more
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Quantum algorithms revisited [PDF]
Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 1998 18 pages, LaTeX, 7 figures. Submitted to Proc. Roy. Soc.
R. CLEVE +3 more
exaly +4 more sources
Quantum Computer and Quantum Algorithm Benchmarking
2022Quantum computing is an exciting field, which brought out many competitors, both on the hardware and algorithmic side. Although users are not expecting to outperform classical machines yet, they are still interested in quantum computers, which can demonstrate advantages of their algorithms best. However, for users, especially in the industry, it is not
Daniel Müssig, Jörg Lässig
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The rhythm of quantum algorithms
Soft Computing, 2015zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Stefano Bonzio, Paola Verrucchi
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2011
In this chapter, the discrete quantum Fourier transform, the Deutsch–Jozsa algorithm for balanced functions, and the Grover algorithm for database search are exposed.
Masanori Ohya, Igor Volovich
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In this chapter, the discrete quantum Fourier transform, the Deutsch–Jozsa algorithm for balanced functions, and the Grover algorithm for database search are exposed.
Masanori Ohya, Igor Volovich
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International Journal of Modern Physics B, 2009
This article reviews recent progress in quantum database search algorithms. The subject is presented in a self-contained and pedagogical way. The problem of searching a large database (a Hilbert space) for a target item is performed by the famous Grover algorithm which locates the target item with high probability and a quadratic speed-up compared ...
Korepin, Vladimir E., Xu, Ying
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This article reviews recent progress in quantum database search algorithms. The subject is presented in a self-contained and pedagogical way. The problem of searching a large database (a Hilbert space) for a target item is performed by the famous Grover algorithm which locates the target item with high probability and a quadratic speed-up compared ...
Korepin, Vladimir E., Xu, Ying
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Proceedings of the 24th international conference on Machine learning, 2007
By the term "quantization", we refer to the process of using quantum mechanics in order to improve a classical algorithm, usually by making it go faster. In this paper, we initiate the idea of quantizing clustering algorithms by using variations on a celebrated quantum algorithm due to Grover. After having introduced this novel approach to unsupervised
Esma Aïmeur +2 more
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By the term "quantization", we refer to the process of using quantum mechanics in order to improve a classical algorithm, usually by making it go faster. In this paper, we initiate the idea of quantizing clustering algorithms by using variations on a celebrated quantum algorithm due to Grover. After having introduced this novel approach to unsupervised
Esma Aïmeur +2 more
openaire +1 more source