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Academic Articles & Research Papers
Showing 20 of 2,633 academic articles
Xiaoxuan Pan, Zhide Lu, Weiting Wang, Ziyue Hua et al. • Nature Communications
(2023)
Abstract Deep learning and quantum computing have achieved dramatic progresses in recent years. The interplay between these two fast-growing fields gives rise to a new research frontier of quantum machine learning. In this work, we report a...
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DOI: 10.1038/s41467-023-39785-8
Tim Bauer, Francesco Buccheri, Alessandro De Martino, Reinhold Egger • Physical Review Research
(2024)
For a Weyl semimetal (WSM) in a magnetic field, a semiclassical description of the Fermi-arc surface state dynamics is usually employed for explaining various unconventional magnetotransport phenomena, e.g., Weyl orbits, the three-dimension...
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DOI: 10.1103/PhysRevResearch.6.043201
Tomoki KANDA, Hiroshi YABUNO • Mechanical Engineering Journal
(2026)
In quantum information processing, control of quantum entanglement is of central importance, particularly for applications in quantum computing. One established method for generating entanglement is squeezing, which exploits the uncertainty...
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Open Access (DOAJ)
DOI: 10.1299/mej.26-00260
Pauline J. Ollitrault, Alexander Miessen, Ivano Tavernelli • Accounts of Chemical Research
(2021)
ConspectusSimulating molecular dynamics (MD) within a comprehensive quantum framework has been a long-standing challenge in computational chemistry. An exponential scaling of computational cost renders solving the time dependent Schrödinger...
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DOI: https://doi.org/10.1021/acs.accounts.1c00514
Mark E. Saffman • National Science Review
(2018)
The power of quantum computation derives from algorithmic methods that exploit the availability of quantum superposition and entanglement to perform computations that are intractable with classical devices. The race is on to develop hardwar...
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DOI: https://doi.org/10.1093/nsr/nwy088
PMC: 8291449
Amr Sabry • International Symposium on Haskell
(2003)
The paper develops a model of quantum computing from the perspective of functional programming. The model explains the fundamental ideas of quantum computing at a level of abstraction that is familiar to functional programmers. The model al...
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DOI: https://doi.org/10.1145/871895.871900
Alberto Di Meglio, Karl Jansen, Ivano Tavernelli, Constantia Alexandrou et al. • PRX Quantum
(2024)
Quantum computers offer an intriguing path for a paradigmatic change of computing in the natural sciences and beyond, with the potential for achieving a so-called quantum advantage—namely, a significant (in some cases exponential) speedup o...
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DOI: https://doi.org/10.1103/prxquantum.5.037001
Scott Aaronson • Physical Review A
(2005)
This paper initiates the study of hidden variables from a quantum computing perspective. For us, a hidden-variable theory is simply a way to convert a unitary matrix that maps one quantum state to another into a stochastic matrix that maps ...
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Open Access
DOI: https://doi.org/10.1103/physreva.71.032325
Sayaki Matsushita • IEEE Transactions on Quantum Engineering
(2026)
Linear regression is fundamental to statistical analysis and machine learning, but its application to large-scale datasets necessitates distributed computing. The problem also arises in quantum computing, where handling extensive data requi...
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Open Access (DOAJ)
DOI: 10.1109/TQE.2026.3687237
Ruofan Chen, Xiansong Xu, Chu Guo • New Journal of Physics
(2024)
Tensor-network-based methods are promising candidates to solve quantum impurity problems (QIP). They are free of sampling noises and the sign problem compared to state-of-the-art continuous-time quantum Monte Carlo methods. Recent progress ...
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Open Access (DOAJ)
DOI: 10.1088/1367-2630/ad19fa
J.M. Clemente-Juan, Eugenio Coronado, Alejandro Gaita‐Ariño • Chemical Society Reviews
(2012)
In this review we discuss the relevance of polyoxometalate (POM) chemistry to provide model objects in molecular magnetism. We present several potential applications in nanomagnetism, in particular, in molecular spintronics and quantum comp...
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DOI: https://doi.org/10.1039/c2cs35205b
Stefano Mangini, Francesco Tacchino, Dario Gerace, Daniele Bajoni et al. • Europhysics Letters (EPL)
(2021)
Abstract Neural networks are computing models that have been leading progress in Machine Learning (ML) and Artificial Intelligence (AI) applications. In parallel, the first small-scale quantum computing devices have become available in rece...
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Open Access
DOI: https://doi.org/10.1209/0295-5075/134/10002
Abhinav Anand, Philipp Schleich, Sumner Alperin-Lea, Phillip W. K. Jensen et al. • Chemical Society Reviews
(2022)
We present a review of the Unitary Coupled Cluster (UCC) ansatz and related ansätze which are used to variationally solve the electronic structure problem on quantum computers. A brief history of coupled cluster (CC) methods is provided, fo...
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DOI: https://doi.org/10.1039/d1cs00932j
Christoph Kloeffel, Daniel Loss • Annual Review of Condensed Matter Physics
(2013)
Experimental and theoretical progress toward quantum computation with spins in quantum dots (QDs) is reviewed, with particular focus on QDs formed in GaAs heterostructures, on nanowire-based QDs, and on self-assembled QDs. We report on a re...
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Open Access
DOI: https://doi.org/10.1146/annurev-conmatphys-030212-184248
Frederik F. Flöther • Research Directions Quantum Technologies
(2023)
Abstract Quantum computing hardware and software have made enormous strides over the last years1. Questions around quantum computing’s impact on research and society have changed from “if” to “when/how”. The 2020s have been described as the...
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DOI: https://doi.org/10.1017/qut.2023.4
Colin Bruzewicz, John Chiaverini, Robert McConnell, Jeremy Sage • Applied Physics Reviews
(2019)
Trapped ions are among the most promising systems for practical quantum computing (QC). The basic requirements for universal QC have all been demonstrated with ions, and quantum algorithms using few-ion-qubit systems have been implemented. ...
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DOI: https://doi.org/10.1063/1.5088164
Jeffery C. Atik, Valentin Jeutner • Law Innovation and Technology
(2019)
Quantum computing technology will greatly enhance the abilities of the emerging field of computational law to express, model, and operationalise law in algorithmic form. Foreshadowing the harnessing of the power of quantum computing technol...
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DOI: https://doi.org/10.1080/17579961.2021.1977216
Goong Chen, David A. Church, Berthold‐Georg Englert, Carsten Henkel et al. • Chapman & Hall/CRC eBooks
(2006)
One of the first books to thoroughly examine the subject, Quantum Computing Devices: Principles, Designs, and Analysis covers the essential components in the design of a "real" quantum computer. It explores contemporary and important aspect...
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DOI: https://doi.org/10.1201/9781420011777
Andreas Bayerstadler, Guillaume Becquin, Julia Binder, Thierry Botter et al. • EPJ Quantum Technology
(2021)
Abstract Quantum computing promises to overcome computational limitations with better and faster solutions for optimization, simulation, and machine learning problems. Europe and Germany are in the process of successfully establishing resea...
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DOI: https://doi.org/10.1140/epjqt/s40507-021-00114-x
Hans J. Briegel, Tommaso Calarco, Dieter Jaksch, J. I. Cirac et al. • Journal of Modern Optics
(2000)
We develop a method to entangle neutral atoms using cold controlled collisions. We analyse this method in two particular set-ups: optical lattices and magnetic microtraps. Both offer the possibility of performing certain multi-particle oper...
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Open Access
DOI: https://doi.org/10.1080/09500340008244052