A NASA perspective on quantum computing: Opportunities and challenges
https://doi.org/10.1016/j.parco.2016.11.002
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https://doi.org/10.1016/j.parco.2016.11.002
https://doi.org/10.1038/s42254-025-00853-1
Abstract Classical computing has borne witness to the development of machine learning. The integration of quantum technology into this mix will lead to unimaginable benefits and be regarded as a giant leap forward in mankind’s ability to co...
10.1038/s41598-023-43729-z
The smart grid is a critical infrastructure in the modern energy system that couples cyberspace with physical operation processes, and it has become a key pillar of national energy security. With the widespread use of massive heterogeneous ...
10.19678/j.issn.1000-3428.0260693
Abstract Recent years have witnessed significant progress in quantum computing and its applications, driven by the emergence of integrated quantum photonic chips. These chips offer significant advantages of scalability, stability, and low-c...
10.1038/s44310-026-00114-8
Phononic crystals (PnCs) and acoustic metamaterials (AMMs) are artificially architected materials endowed with the capabilities of wave manipulation. This review specifically covers the theoretical fundamentals and recent development of PnC...
10.1002/smsc.202200052
https://doi.org/10.1016/j.jii.2023.100511
Ensuring secure data transmission in agrotechnical monitoring systems using unmanned aerial vehicles (UAVs) is critical due to increasing cyber threats, particularly with the advent of quantum computing. This study proposes the integration ...
10.3390/app15052429
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...
10.1016/j.rinp.2024.107856
https://doi.org/10.1007/978-94-007-0080-2_10
Recent experimental demonstrations of quantum coherence of the charge and flux states of Josephson junctions show that the quantum Josephson dynamics can be used to develop scalable quantum logic circuits. In this work, I review the basic c...
https://doi.org/10.1002/1521-3978(200009)48:9/11<1055::aid-prop1055>3.0.co;2-1
Abstract Among the various approaches to quantum computing, all-optical architectures are especially promising due to the robustness and mobility of single photons. However, the creation of the two-photon quantum logic gates required for un...
https://doi.org/10.1038/s41534-019-0150-2
Abstract In recent years, with the increasing luminosities of colliders, handling the growing amount of data has become a major challenge for future New Physics (NP) phenomenological research. In order to improve efficiency, machine learnin...
10.1140/epjc/s10052-025-14069-1
Computing metasurfaces are two-dimensional artificial nanostructures capable of performing mathematical operations on the input electromagnetic field, including its amplitude, phase, polarization, and frequency distributions. Rapid progress...
10.1515/nanoph-2021-0823
Metasurfaces have recently opened up applications in the quantum regime, including quantum tomography and the generation of quantum entangled states. With their capability to store a vast amount of information by utilizing the various geome...
10.1515/nanoph-2023-0844
A quasi-two-dimensional set of electrons (1 < N < 10(9)) in vacuum, trapped in one-dimensional hydrogenic levels above a micrometer-thick film of liquid helium, is proposed as an easily manipulated strongly interacting set of quantum bits. ...
https://doi.org/10.1126/science.284.5422.1967
https://doi.org/10.1557/mrs.2013.206
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...
10.1063/9.0000868
Variational techniques have long been at the heart of atomic, solid-state, and many-body physics. They have recently extended to quantum and classical machine learning, providing a basis for representing quantum states via neural networks. ...
10.1088/2632-2153/adaca2
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...
https://doi.org/10.1021/acs.accounts.1c00514