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Artículos de revistas sobre el tema "Quantum advantage"

Autor: Grafiati

Publicado: 25 de mayo de 2024

Última modificación: 31 de julio de 2025

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1

McKenzie, James. "Quantum advantage." Physics World 36, no. 6 (2023): 19–20. http://dx.doi.org/10.1088/2058-7058/36/06/21.

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2

Durrani, Matin. "Quantum advantage." Physics World 37, no. 5 (2024): 19. http://dx.doi.org/10.1088/2058-7058/37/05/20.

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3

Durrani, Matin. "Quantum advantage." Physics World 38, no. 5 (2025): 15. https://doi.org/10.1088/2058-7058/38/05/16.

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4

Bouland, Adam. "Establishing quantum advantage." XRDS: Crossroads, The ACM Magazine for Students 23, no. 1 (2016): 40–44. http://dx.doi.org/10.1145/2983543.

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5

Childs, Andrew M. "Quantum advantage deferred." Nature Physics 13, no. 12 (2017): 1148. http://dx.doi.org/10.1038/nphys4272.

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6

Ball, Philip. "Turning a quantum advantage." Physics World 35, no. 10 (2022): 43–44. http://dx.doi.org/10.1088/2058-7058/35/10/28.

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Vice-president of IBM Quantum Jay Gambetta talks to Philip Ball about the company’s many quantum advances over the last 20 years, as well as its recently announced five-year roadmap to “quantum advantage”.

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7

Daley, Andrew J., Immanuel Bloch, Christian Kokail, et al. "Practical quantum advantage in quantum simulation." Nature 607, no. 7920 (2022): 667–76. http://dx.doi.org/10.1038/s41586-022-04940-6.

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8

Bravyi, Sergey, David Gosset, and Robert König. "Quantum advantage with shallow circuits." Science 362, no. 6412 (2018): 308–11. http://dx.doi.org/10.1126/science.aar3106.

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Quantum effects can enhance information-processing capabilities and speed up the solution of certain computational problems. Whether a quantum advantage can be rigorously proven in some setting or demonstrated experimentally using near-term devices is the subject of active debate. We show that parallel quantum algorithms running in a constant time period are strictly more powerful than their classical counterparts; they are provably better at solving certain linear algebra problems associated with binary quadratic forms. Our work gives an unconditional proof of a computational quantum advantag

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9

Luber, Sebastian. "Quantum Advantage für Europa?" Digitale Welt 5, no. 2 (2021): 80–84. http://dx.doi.org/10.1007/s42354-021-0343-7.

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10

Kenigsberg, D., A. Mor, and G. Ratsaby. "Quantum advantage without entanglement." Quantum Information and Computation 6, no. 7 (2006): 606–15. http://dx.doi.org/10.26421/qic6.7-4.

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We study the advantage of pure-state quantum computation without entanglement over classical computation. For the Deutsch-Jozsa algorithm we present the \emph{maximal} subproblem that can be solved without entanglement, and show that the algorithm still has an advantage over the classical ones. We further show that this subproblem is of greater significance, by proving that it contains all the Boolean functions whose quantum phase-oracle is non-entangling. For Simon's and Grover's algorithms we provide simple proofs that no non-trivial subproblems can be solved by these algorithms without enta

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11

Mueck, Leonie, Carmen Palacios-Berraquero, and Divya M. Persaud. "Towards a quantum advantage." Physics World 33, no. 2 (2020): 17. http://dx.doi.org/10.1088/2058-7058/33/2/25.

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12

Huang, Hsin-Yuan, Michael Broughton, Jordan Cotler, et al. "Quantum advantage in learning from experiments." Science 376, no. 6598 (2022): 1182–86. http://dx.doi.org/10.1126/science.abn7293.

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Quantum technology promises to revolutionize how we learn about the physical world. An experiment that processes quantum data with a quantum computer could have substantial advantages over conventional experiments in which quantum states are measured and outcomes are processed with a classical computer. We proved that quantum machines could learn from exponentially fewer experiments than the number required by conventional experiments. This exponential advantage is shown for predicting properties of physical systems, performing quantum principal component analysis, and learning about physical

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13

Zhou, Min-Gang, Xiao-Yu Cao, Yu-Shuo Lu, et al. "Experimental Quantum Advantage with Quantum Coupon Collector." Research 2022 (April 30, 2022): 1–11. http://dx.doi.org/10.34133/2022/9798679.

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An increasing number of communication and computational schemes with quantum advantages have recently been proposed, which implies that quantum technology has fertile application prospects. However, demonstrating these schemes experimentally continues to be a central challenge because of the difficulty in preparing high-dimensional states or highly entangled states. In this study, we introduce and analyze a quantum coupon collector protocol by employing coherent states and simple linear optical elements, which was successfully demonstrated using realistic experimental equipment. We showed that

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14

Chakraborty, Kaushik, Mina Doosti, Yao Ma, Chirag Wadhwa, Myrto Arapinis, and Elham Kashefi. "Quantum Lock: A Provable Quantum Communication Advantage." Quantum 7 (May 23, 2023): 1014. http://dx.doi.org/10.22331/q-2023-05-23-1014.

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Physical unclonable functions(PUFs) provide a unique fingerprint to a physical entity by exploiting the inherent physical randomness. Gao et al. discussed the vulnerability of most current-day PUFs to sophisticated machine learning-based attacks. We address this problem by integrating classical PUFs and existing quantum communication technology. Specifically, this paper proposes a generic design of provably secure PUFs, called hybrid locked PUFs(HLPUFs), providing a practical solution for securing classical PUFs. An HLPUF uses a classical PUF(CPUF), and encodes the output into non-orthogonal q

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15

Johansson, Niklas, and Jan-Åke Larsson. "Quantum Simulation Logic, Oracles, and the Quantum Advantage." Entropy 21, no. 8 (2019): 800. http://dx.doi.org/10.3390/e21080800.

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Query complexity is a common tool for comparing quantum and classical computation, and it has produced many examples of how quantum algorithms differ from classical ones. Here we investigate in detail the role that oracles play for the advantage of quantum algorithms. We do so by using a simulation framework, Quantum Simulation Logic (QSL), to construct oracles and algorithms that solve some problems with the same success probability and number of queries as the quantum algorithms. The framework can be simulated using only classical resources at a constant overhead as compared to the quantum r

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16

Wang, Long-Fei, Ming-Ming Du, Wen-Yang Sun, Dong Wang, and Liu Ye. "Nonlocal advantage of quantum coherence under relativistic frame." Modern Physics Letters B 32, no. 31 (2018): 1850377. http://dx.doi.org/10.1142/s0217984918503773.

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In this paper, we investigate the influence of the Unruh effect on the achievement of the nonlocal advantage of quantum coherence for a two-qubit system under a relativistic frame. The results show that with the increase of acceleration, it is difficult to realize the nonlocal advantage of quantum coherence and when the acceleration exceeds a certain value, nonlocal advantage of quantum coherence cannot be realized. In addition, we explore the dynamics of Bell nonlocality, steering, quantum coherence, entanglement and quantum discord (QD) under Unruh thermal noise. It is shown that nonlocal ad

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17

Guha, Tamal, Mir Alimuddin, Sumit Rout, Amit Mukherjee, Some Sankar Bhattacharya, and Manik Banik. "Quantum Advantage for Shared Randomness Generation." Quantum 5 (October 27, 2021): 569. http://dx.doi.org/10.22331/q-2021-10-27-569.

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Sharing correlated random variables is a resource for a number of information theoretic tasks such as privacy amplification, simultaneous message passing, secret sharing and many more. In this article, we show that to establish such a resource called shared randomness, quantum systems provide an advantage over their classical counterpart. Precisely, we show that appropriate albeit fixed measurements on a shared two-qubit state can generate correlations which cannot be obtained from any possible state on two classical bits. In a resource theoretic set-up, this feature of quantum systems can be

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18

Zhong, Han-Sen, Hui Wang, Yu-Hao Deng, et al. "Quantum computational advantage using photons." Science 370, no. 6523 (2020): 1460–63. http://dx.doi.org/10.1126/science.abe8770.

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19

Pan, Jie. "Analyzing noise for quantum advantage." Nature Computational Science 1, no. 12 (2021): 776. http://dx.doi.org/10.1038/s43588-021-00178-w.

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20

Fefferman, Bill. "Toward noise-robust quantum advantage." Nature Physics 16, no. 10 (2020): 1007–8. http://dx.doi.org/10.1038/s41567-020-0960-3.

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21

Lostaglio, Matteo, and Gabriel Senno. "Contextual advantage for state-dependent cloning." Quantum 4 (April 27, 2020): 258. http://dx.doi.org/10.22331/q-2020-04-27-258.

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A number of noncontextual models exist which reproduce different subsets of quantum theory and admit a no-cloning theorem. Therefore, if one chooses noncontextuality as one's notion of classicality, no-cloning cannot be regarded as a nonclassical phenomenon. In this work, however, we show that there are aspects of the phenomenology of quantum state cloning which are indeed nonclassical according to this principle. Specifically, we focus on the task of state-dependent cloning and prove that the optimal cloning fidelity predicted by quantum theory cannot be explained by any noncontextual model.

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22

Oliveira, Michael de, Luís S. Barbosa, and Ernesto F. Galvão. "Quantum advantage in temporally flat measurement-based quantum computation." Quantum 8 (April 9, 2024): 1312. http://dx.doi.org/10.22331/q-2024-04-09-1312.

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Several classes of quantum circuits have been shown to provide a quantum computational advantage under certain assumptions. The study of ever more restricted classes of quantum circuits capable of quantum advantage is motivated by possible simplifications in experimental demonstrations. In this paper we study the efficiency of measurement-based quantum computation with a completely flat temporal ordering of measurements. We propose new constructions for the deterministic computation of arbitrary Boolean functions, drawing on correlations present in multi-qubit Greenberger, Horne, and Zeilinger

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23

Khan, Faisal Shah, Norbert M. Linke, Anton Trong Than, and Dror Baron. "Quantum Advantage in Trading: A Game-Theoretic Approach." Quantum Economics and Finance 2, no. 1 (2025): 40–51. https://doi.org/10.1177/29767032251333418.

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Quantum games, like quantum algorithms, exploit quantum entanglement to establish strong correlations between strategic player actions. This paper introduces quantum game-theoretic models applied to trading and demonstrates their implementation on an ion-trap quantum computer. The results showcase a quantum advantage, previously known only theoretically, realized as higher-paying market Nash equilibria. This advantage could help uncover alpha in trading strategies, defined as excess returns compared to established benchmarks. These findings suggest that quantum computing could significantly in

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24

Kranias, Jasper, Guillaume Thekkadath, Khabat Heshami, and Aaron Z. Goldberg. "Metrological Advantages in Seeded and Lossy Nonlinear Interferometers." Quantum 9 (February 4, 2025): 1619. https://doi.org/10.22331/q-2025-02-04-1619.

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The quantum Fisher information (QFI) bounds the sensitivity of a quantum measurement, heralding the conditions for quantum advantages when compared with classical strategies. Here, we calculate analytical expressions for the QFI of nonlinear interferometers under lossy conditions and with coherent-state seeding. We normalize the results based on the number of photons going through the sample that induces a phase shift on the incident quantum state, which eliminates some of the previously declared metrological advantages. We analyze the performance of nonlinear interferometers in a variety of g

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25

Li, Ying, Ze-Yao Han, Chao-Jian Li, Jin Lü, Xiao Yuan, and Bu-Jiao Wu. "Review on quantum advantages of sampling problems." Acta Physica Sinica 70, no. 21 (2021): 210201. http://dx.doi.org/10.7498/aps.70.20211428.

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Exploiting the coherence and entanglement of quantum many-qubit states, quantum computing can significantly surpass classical algorithms, making it possible to factor large numbers, solve linear equations, simulate many-body quantum systems, etc., in a reasonable time. With the rapid development of quantum computing hardware, many attention has been drawn to explore how quantum computers could go beyond the limit of classical computation. Owing to the need of a universal fault-tolerant quantum computer for many existing quantum algorithms, such as Shor’s factoring algorithm, and considering th

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26

Gyurik, Casper, Chris Cade, and Vedran Dunjko. "Towards quantum advantage via topological data analysis." Quantum 6 (November 10, 2022): 855. http://dx.doi.org/10.22331/q-2022-11-10-855.

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Even after decades of quantum computing development, examples of generally useful quantum algorithms with exponential speedups over classical counterparts are scarce. Recent progress in quantum algorithms for linear-algebra positioned quantum machine learning (QML) as a potential source of such useful exponential improvements. Yet, in an unexpected development, a recent series of "dequantization" results has equally rapidly removed the promise of exponential speedups for several QML algorithms. This raises the critical question whether exponential speedups of other linear-algebraic QML algorit

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27

Patra, Ram Krishna, Sahil Gopalkrishna Naik, Edwin Peter Lobo, et al. "Classical analogue of quantum superdense coding and communication advantage of a single quantum system." Quantum 8 (April 9, 2024): 1315. http://dx.doi.org/10.22331/q-2024-04-09-1315.

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We analyze utility of communication channels in absence of any short of quantum or classical correlation shared between the sender and the receiver. To this aim, we propose a class of two-party communication games, and show that the games cannot be won given a noiseless 1-bit classical channel from the sender to the receiver. Interestingly, the goal can be perfectly achieved if the channel is assisted with classical shared randomness. This resembles an advantage similar to the quantum superdense coding phenomenon where pre-shared entanglement can enhance the communication utility of a perfect

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28

Novo, Leonardo, Juani Bermejo-Vega, and Raúl García-Patrón. "Quantum advantage from energy measurements of many-body quantum systems." Quantum 5 (June 2, 2021): 465. http://dx.doi.org/10.22331/q-2021-06-02-465.

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The problem of sampling outputs of quantum circuits has been proposed as a candidate for demonstrating a quantum computational advantage (sometimes referred to as quantum "supremacy"). In this work, we investigate whether quantum advantage demonstrations can be achieved for more physically-motivated sampling problems, related to measurements of physical observables. We focus on the problem of sampling the outcomes of an energy measurement, performed on a simple-to-prepare product quantum state – a problem we refer to as energy sampling. For different regimes of measurement resolution and measu

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29

McEntee, Joe. "Gaining a quantum advantage in the workplace." Physics World 38, no. 3 (2025): 51–52. https://doi.org/10.1088/2058-7058/38/03/32.

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Sarah Sheldon, an engineering physicist from IBM, talks to Joe McEntee about the company’s efforts to open up the next frontier in quantum computing – and why the emerging quantum technology industry is brimming with opportunity for ambitious scientists and engineers.

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30

Yang, Siyi, Naixu Guo, Miklos Santha, and Patrick Rebentrost. "Quantum Alphatron: quantum advantage for learning with kernels and noise." Quantum 7 (November 8, 2023): 1174. http://dx.doi.org/10.22331/q-2023-11-08-1174.

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At the interface of machine learning and quantum computing, an important question is what distributions can be learned provably with optimal sample complexities and with quantum-accelerated time complexities. In the classical case, Klivans and Goel discussed the Alphatron, an algorithm to learn distributions related to kernelized regression, which they also applied to the learning of two-layer neural networks. In this work, we provide quantum versions of the Alphatron in the fault-tolerant setting. In a well-defined learning model, this quantum algorithm is able to provide a polynomial speedup

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31

Coles, Patrick J. "Seeking quantum advantage for neural networks." Nature Computational Science 1, no. 6 (2021): 389–90. http://dx.doi.org/10.1038/s43588-021-00088-x.

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32

Bravyi, Sergey, David Gosset, Robert König, and Marco Tomamichel. "Quantum advantage with noisy shallow circuits." Nature Physics 16, no. 10 (2020): 1040–45. http://dx.doi.org/10.1038/s41567-020-0948-z.

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33

Yuan, Xiao. "A quantum-computing advantage for chemistry." Science 369, no. 6507 (2020): 1054–55. http://dx.doi.org/10.1126/science.abd3880.

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34

Ambainis, Andris. "Superlinear Advantage for Exact Quantum Algorithms." SIAM Journal on Computing 45, no. 2 (2016): 617–31. http://dx.doi.org/10.1137/130939043.

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35

Horodecki, M., and M. Piani. "On quantum advantage in dense coding." Journal of Physics A: Mathematical and Theoretical 45, no. 10 (2012): 105306. http://dx.doi.org/10.1088/1751-8113/45/10/105306.

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36

Palacios-Berraquero, Carmen, Leonie Mueck, and Divya M. Persaud. "Instead of ‘supremacy’ use ‘quantum advantage’." Nature 576, no. 7786 (2019): 213. http://dx.doi.org/10.1038/d41586-019-03781-0.

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37

Mukherjee, Kaushiki, Biswajit Paul, and Debasis Sarkar. "Revealing advantage in a quantum network." Quantum Information Processing 15, no. 7 (2016): 2895–921. http://dx.doi.org/10.1007/s11128-016-1301-4.

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38

Ueno, Shin-ichi, Yasunari Miyake, and Masahiro Asada. "Advantage of Strained Quantum Wire Lasers." Japanese Journal of Applied Physics 31, Part 1, No. 2A (1992): 286–87. http://dx.doi.org/10.1143/jjap.31.286.

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39

Chen, Jimmy. "The Future of Quantum Computer Advantage." American Journal of Computational Mathematics 13, no. 04 (2023): 619–31. http://dx.doi.org/10.4236/ajcm.2023.134034.

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40

MADHOK, VAIBHAV, and ANIMESH DATTA. "QUANTUM DISCORD AS A RESOURCE IN QUANTUM COMMUNICATION." International Journal of Modern Physics B 27, no. 01n03 (2012): 1345041. http://dx.doi.org/10.1142/s0217979213450410.

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As quantum technologies move from the issues of principle to those of practice, it is important to understand the limitations on attaining tangible quantum advantages. In the realm of quantum communication, quantum discord captures the damaging effects of a decoherent environment. This is a consequence of quantum discord quantifying the advantage of quantum coherence in quantum communication. This establishes quantum discord as a resource for quantum communication processes. We discuss this progress, which derives a quantitative relation between the yield of the fully quantum Slepian–Wolf (FQS

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41

Bova, Francesco, Avi Goldfarb, and Roger G. Melko. "Quantum Economic Advantage." Management Science, December 2, 2022. http://dx.doi.org/10.1287/mnsc.2022.4578.

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A quantum computer exhibits quantum advantage when it can perform a calculation that a classical computer is unable to complete. It follows that a company with a quantum computer would be a monopolist in the market for such a calculation if its only competitor was a company with a classical computer. Conversely, economic outcomes are unclear if quantum computers do not exhibit a quantum advantage, but classical and quantum computers have different cost structures. We model a Cournot duopoly where a quantum computing company competes against a classical computing company. The model features an

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42

Bova, Francesco, Avi Goldfarb, and Roger Melko. "Quantum Economic Advantage." SSRN Electronic Journal, 2022. http://dx.doi.org/10.2139/ssrn.4028340.

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43

Pérez-Guijarro, Jordi, Alba Pagés-Zamora, and Javier R. Fonollosa. "Relation between quantum advantage in supervised learning and quantum computational advantage." IEEE Transactions on Quantum Engineering, 2023, 1–17. http://dx.doi.org/10.1109/tqe.2023.3347476.

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44

Assouly, R., R. Dassonneville, T. Peronnin, A. Bienfait, and B. Huard. "Quantum advantage in microwave quantum radar." Nature Physics, June 29, 2023. http://dx.doi.org/10.1038/s41567-023-02113-4.

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45

Renner, Renato, and Ramona Wolf. "Quantum Advantage in Cryptography." AIAA Journal, February 1, 2023, 1–16. http://dx.doi.org/10.2514/1.j062267.

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Ever since its inception, cryptography has been caught in a vicious circle: Cryptographers keep inventing methods to hide information, and cryptanalysts break them, prompting cryptographers to invent even more sophisticated encryption schemes, and so on. But could it be that quantum information technology breaks this circle? At first sight, it looks as if it just lifts the competition between cryptographers and cryptanalysts to the next level. Indeed, quantum computers will render most of today’s public key cryptosystems insecure. Nonetheless, there are good reasons to believe that cryptograph

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46

"Light on quantum advantage." Nature Materials 20, no. 3 (2021): 273. http://dx.doi.org/10.1038/s41563-021-00953-0.

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47

Gao, Jun, Xiao-Wei Wang, Wen-Hao Zhou, et al. "Quantum Advantage with Membosonsampling." Chip, April 2022, 100007. http://dx.doi.org/10.1016/j.chip.2022.100007.

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48

Chan, Garnet Kin-Lic. "Quantum chemistry, classical heuristics, and quantum advantage." Faraday Discussions, 2024. http://dx.doi.org/10.1039/d4fd00141a.

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We describe the problems of quantum chemistry, the intuition behind classical heuristic methods used to solve them, a conjectured form of the classical com- plexity of quantum chemistry problems, and...

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49

Anonymous. "Reliable quantum advantage in quantum battery charging." Physical Review A, June 9, 2025. https://doi.org/10.1103/6kwv-z6fx.

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50

Sun, Weixiao, Fuchuan Wei, Yuguo Shao, and Zhaohui Wei. "Sudden death of quantum advantage in correlation generations." Science Advances 10, no. 47 (2024). http://dx.doi.org/10.1126/sciadv.adr5002.

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Quantum noise is one of the most profound obstacles to implementing large-scale quantum algorithms and schemes. In particular, the dynamical process by which quantum noise, varying in strength from 0 to critical levels, affects and destroys quantum advantage has not been well understood. Meanwhile, correlation generation serves as a precious theoretical model for information processing tasks, where quantum advantage can be precisely quantified. In this study, we show that this model provides valuable insights into the understanding of this dynamical process. We prove that, as the strength of q

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