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Showing 20 of 378 academic articles
Bujiao Wu, Dax Enshan Koh • npj Quantum Information
(2024)
Abstract Efficiently estimating fermionic Hamiltonian expectation values is vital for simulating various physical systems. Classical shadow (CS) algorithms offer a solution by reducing the number of quantum state copies needed, but noise in...
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Open Access (DOAJ)
DOI: 10.1038/s41534-024-00836-7
Wenhui Luo, Olivia Chen, Nobuyuki Yoshikawa, Naoki Takeuchi • Scientific Reports
(2022)
Abstract Alternative computing such as stochastic computing and bio-inspired computing holds promise for overcoming the limitations of von Neumann computers. However, one difficulty in the implementation of such alternative computing is the...
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Open Access (DOAJ)
DOI: 10.1038/s41598-022-24230-5
Jie-Yin Zhang, Fang-Ze Liu, Ming Ming, Liang-Xin Liao et al. • APL Materials
(2026)
Si/SiGe heterostructures play pivotal roles in both gate-all-around technology for integrated circuits and spin qubits for quantum computing. Here, we report dislocation-free Si/SiGe heterostructures grown via molecular beam epitaxy on stra...
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Open Access (DOAJ)
DOI: 10.1063/5.0334357
Xiaohui Zhu, Huaxiang Yin • Results in Physics
(2024)
Silicon (Si)-based quantum-dot (QD) device by advanced CMOS process is one of important technologies for quantum computing application and currently, it needs a fast and accurate quantum characteristics simulation for designing and optimizi...
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Open Access (DOAJ)
DOI: 10.1016/j.rinp.2024.107856
Jun Fujisaki, Kazunori Maruyama, Hirotaka Oshima, Shintaro Sato et al. • Physical Review Research
(2023)
Efficient decoding to estimate error locations from outcomes of syndrome measurements is the prerequisite for quantum error correction. Decoding in the presence of circuit-level noise including measurement errors should be considered in cas...
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Open Access (DOAJ)
DOI: 10.1103/PhysRevResearch.5.043261
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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Open Access (DOAJ)
DOI: 10.1038/s41467-023-39785-8
Babu Ram Sankhi, Erwan Peigney, Hayden Brown, Pius Suh et al. • AIP Advances
(2025)
Single-molecule magnets (SMMs) are pivotal in molecular spintronics, showing unique quantum behaviors that can advance spin-based technologies. By incorporating SMMs into magnetic tunnel junctions (MTJs), new possibilities emerge for low-po...
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Open Access (DOAJ)
DOI: 10.1063/9.0000868
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
Angela Sara Cacciapuoti, Marcello Caleffi, Francesco Tafuri, F. S. Cataliotti et al. • IEEE Network
(2019)
The Quantum Internet, a network interconnecting remote quantum devices through quantum links in synergy with classical ones, is envisioned as the final stage of the quantum revolution, opening fundamentally new communications and computing ...
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Open Access
DOI: https://doi.org/10.1109/mnet.001.1900092
Eugene Dumitrescu, Alex McCaskey, G. Hagen, G. R. Jansen et al. • Physical Review Letters
(2018)
We report a quantum simulation of the deuteron binding energy on quantum processors accessed via cloud servers. We use a Hamiltonian from pionless effective field theory at leading order. We design a low-depth version of the unitary coupled...
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Open Access
DOI: https://doi.org/10.1103/physrevlett.120.210501
Wenhui Xu, Tiangui You, Yibo Wang, Zhenghao Shen et al. • Fundamental Research
(2021)
The semiconductor, β-Ga2O3 is attractive for applications in high power electronic devices with low conduction loss due to its ultra-wide bandgap (∼4.9 eV) and large Baliga's figure of merit. However, the thermal conductivity of β-Ga2O3 is ...
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Open Access (DOAJ)
DOI: 10.1016/j.fmre.2021.11.003
Hiroomi Chono, Hayato Goto • APL Quantum
(2025)
Kerr parametric oscillators (KPOs), two-photon driven Kerr-nonlinear resonators, can stably hold coherent states with opposite-sign amplitudes and are promising devices for quantum computing. Recently, we have theoretically proposed a two-q...
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Open Access (DOAJ)
DOI: 10.1063/5.0241996
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
Davide Ferrari, Angela Sara Cacciapuoti, Michele Amoretti, Marcello Caleffi • IEEE Transactions on Quantum Engineering
(2021)
In distributed quantum computing architectures, with the network and communications functionalities provided by the Quantum Internet, remote quantum processing units can communicate and cooperate for executing computational tasks that singl...
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DOI: https://doi.org/10.1109/tqe.2021.3053921
Runze Li, Yibo Dong, Fengsong Qian, Yiyang Xie et al. • PhotoniX
(2023)
Abstract The rapid development of neuromorphic computing has stimulated extensive research interest in artificial synapses. Optoelectronic artificial synapses using laser beams as stimulus signals have the advantages of broadband, fast resp...
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Open Access (DOAJ)
DOI: 10.1186/s43074-023-00082-8
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
Viswanath Ramakrishna, HERSCHEL A. RABITZ • Physical Review A
(1996)
It is demonstrated that the universality of any quantum computing element can be understood and verified via a precise mathematical criterion which tests for the controllability of an associated quantum control system. This relation between...
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DOI: https://doi.org/10.1103/physreva.54.1715
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
Daniele Cuomo, Marcello Caleffi, Angela Sara Cacciapuoti • IET Quantum Communication
(2020)
The Quantum Internet, by enabling quantum communications among remote quantum nodes, is a network capable of supporting functionalities with no direct counterpart in the classical world. Indeed, with the network and communications functiona...
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DOI: https://doi.org/10.1049/iet-qtc.2020.0002