Is quantum computing for real?
In this interview, computer scientist Catherine McGeoch demystifies quantum computing and introduces us to a new world of computational thinking....
https://doi.org/10.1145/3084688
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In this interview, computer scientist Catherine McGeoch demystifies quantum computing and introduces us to a new world of computational thinking....
https://doi.org/10.1145/3084688
We discuss how quantum computation can be applied to financial problems, providing an overview of current approaches and potential prospects. We review quantum optimization algorithms , and expose how quantum annealers can be used to optimi...
https://doi.org/10.1016/j.revip.2019.100028
Deterministic quantum computation with one pure qubit (DQC1) is an efficient model of computation that uses highly mixed states. Unlike pure-state models, its power is not derived from the generation of a large amount of entanglement. Inste...
https://doi.org/10.1103/physrevlett.101.200501
In recent months, announcements on the progress toward harnessing quantum computing have solicited divers and sometimes strong reactions and opinions from academia and industry. Some say quantum computing is impossible, while others point t...
https://doi.org/10.1145/2817212
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
Quantum computing and simulations are creating transformative opportunities by exploiting the principles of quantum mechanics in new ways to generate and process information. It is expected that a variety of areas ranging from day-to-day ac...
https://doi.org/10.1021/acsengineeringau.1c00033
Holonomic Quantum Computation (HQC) is an all-geometrical approach to quantum information processing. In the HQC strategy information is encoded in degenerate eigen-spaces of a parametric family of Hamiltonians. The computational network of...
https://doi.org/10.1142/s0217979201004836
https://doi.org/10.1007/978-3-031-77106-4_16
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
We develop a dynamical non-Markovian description of quantum computing in the weak-coupling limit, in the lowest-order approximation. We show that the long-range memory of the quantum reservoir (such as the ${1/t}^{4}$ one exhibited by elect...
https://doi.org/10.1103/physreva.65.062101
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
Geometric phases are used to construct quantum gates since it naturally resists local noises, acting as the modularized units of geometric quantum computing. Meanwhile, fast nonadiabatic geometric gates are required for reducing the informa...
10.3390/e22101175
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...
10.1103/PhysRevResearch.5.043261
As quantum analogs of classical Markov chains, open quantum walks have found wide application in many research fields such as quantum computing and quantum simulation. This paper introduces a model of intrinsic open quantum walk on the 1-di...
10.3785/j.issn.1008-9497.2025.05.011
Abstract This study demonstrates that optical absorption of the CsPbBr3 quantum dots can be significantly enhanced through monolithic integration with the Tamm plasmon (TP) structure. This integration enables the resulting TP photodetector ...
10.1002/advs.202503464
Abstract A Gaussian boson sampler (GBS) is a special-purpose quantum computer that can be practically realized at a large scale in optics. Here we report on experiments in which we used a frequency-multiplexed GBS with > 400 modes as a quan...
10.1038/s41534-026-01251-w
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...
10.1038/s41467-023-39785-8
Abstract In recent years, deep learning has been widely used in vulnerability detection with remarkable results. These studies often apply natural language processing (NLP) technologies due to the natural similarity between code and languag...
10.1038/s41598-024-63021-y
The rapid advancement of quantum computing, exemplified by Shor’s and Grover’s algorithms, poses an existential threat to the Rivest-Shamir-Adleman algorithm, elliptic curve cryptography, and symmetric encryption. This paper p...
10.1109/ACCESS.2026.3716526
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