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Journal articles on the topic 'Quantum computing'

To see the other types of publications on this topic, follow the link: Quantum computing.

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Published: 4 June 2021

Last updated: 31 July 2024

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1

Das, Kingkar. "Quantum Computing." International Journal for Research in Applied Science and Engineering Technology 12, no. 2 (February 29, 2024): 895–903. http://dx.doi.org/10.22214/ijraset.2024.58478.

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Abstract: The revolutionary technology known as quantum computing has the potential to completely transform several industries, including material research, medicine development, optimization, and cryptography. Quantum computers use the ideas of quantum mechanics to harness the power of quantum bits, or qubits, in contrast to classical computers, which function using binary digits, or bits. These qubits, which exist in a superposition of states, allow quantum computers to operate at a computational rate never before possible, potentially tackling challenging issues that are beyond the capabilities of classical systems

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2

CR, Senise Jr. "The (Present) Age of Quantum Computing." Physical Science & Biophysics Journal 7, no. 1 (January 5, 2023): 1–3. http://dx.doi.org/10.23880/psbj-16000229.

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Quantum computing is an intense and challenging research area, that promises to change the world we live in. But what is its current status, both in terms of understanding and applications? We discuss some points related to this question in this article.

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3

IM, Hyunsik. "Quantum Computing." Physics and High Technology 23, no. 10 (October 31, 2014): 12. http://dx.doi.org/10.3938/phit.23.039.

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4

Hevia, Jose Luis, Guido Peterssen, Christof Ebert, and Mario Piattini. "Quantum Computing." IEEE Software 38, no. 5 (September 2021): 7–15. http://dx.doi.org/10.1109/ms.2021.3087755.

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5

Li, S. S., G. L. Long, F. S. Bai, S. L. Feng, and H. Z. Zheng. "Quantum computing." Proceedings of the National Academy of Sciences 98, no. 21 (September 18, 2001): 11847–48. http://dx.doi.org/10.1073/pnas.191373698.

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6

Greenland, P. T. "Quantum computing." Contemporary Physics 42, no. 4 (July 2001): 239–41. http://dx.doi.org/10.1080/00107510110053637.

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7

RUAN, Dong, Gui-Lu LONG, Shi-Jie WEI, and Tao WANG. "Quantum Computing." SCIENTIA SINICA Informationis 47, no. 10 (October 1, 2017): 1277–99. http://dx.doi.org/10.1360/n112017-00178.

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8

Brassard, Gilles. "Quantum computing." ACM SIGACT News 25, no. 4 (December 1994): 15–21. http://dx.doi.org/10.1145/190616.190617.

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9

Desaki, Yoshihisa. "Quantum Computing." Journal of The Institute of Image Information and Television Engineers 70, no. 7 (2016): 632–36. http://dx.doi.org/10.3169/itej.70.632.

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10

Amundson, James, and Elizabeth Sexton-Kennedy. "Quantum Computing." EPJ Web of Conferences 214 (2019): 09010. http://dx.doi.org/10.1051/epjconf/201921409010.

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In recent years Quantum Computing has attracted a great deal of attention in the scientific and technical communities. Interest in the field has expanded to include the popular press and various funding agencies. We discuss the origins of the idea of using quantum systems for computing. We then give an overview in recent developments in quantum hardware and software, as well as some potential applications for high energy physics.

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11

Steane, Andrew. "Quantum computing." Reports on Progress in Physics 61, no. 2 (February 1, 1998): 117–73. http://dx.doi.org/10.1088/0034-4885/61/2/002.

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12

Knill, Emanuel. "Quantum computing." Nature 463, no. 7280 (January 2010): 441–43. http://dx.doi.org/10.1038/463441a.

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13

Brassard, G., I. Chuang, S. Lloyd, and C. Monroe. "Quantum computing." Proceedings of the National Academy of Sciences 95, no. 19 (September 15, 1998): 11032–33. http://dx.doi.org/10.1073/pnas.95.19.11032.

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14

Scarani, Valerio. "Quantum computing." American Journal of Physics 66, no. 11 (November 1998): 956–60. http://dx.doi.org/10.1119/1.19005.

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15

Nishino, Tetsuro. "Quantum computing." New Generation Computing 21, no. 4 (December 2003): 277–78. http://dx.doi.org/10.1007/bf03037303.

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16

Piattini, Mario, Guido Peterssen, and Ricardo Pérez-Castillo. "Quantum Computing." ACM SIGSOFT Software Engineering Notes 45, no. 3 (July 9, 2020): 12–14. http://dx.doi.org/10.1145/3402127.3402131.

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17

Ross, Michael, and Mark Oskin. "Quantum computing." Communications of the ACM 51, no. 7 (July 2008): 12–13. http://dx.doi.org/10.1145/1364782.1364787.

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18

Fahmy, A. F. "Quantum Computing." Science 281, no. 5385 (September 25, 1998): 1961e—1961. http://dx.doi.org/10.1126/science.281.5385.1961e.

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19

Narang, Mrinal, Jayant Marwaha, Gurpreet Kaur, Dr Manjot Kaur Bhatia, and Ritesh Sandilya. "Quantum Computing." International Journal for Research in Applied Science and Engineering Technology 10, no. 12 (December 31, 2022): 1058–63. http://dx.doi.org/10.22214/ijraset.2022.47931.

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Abstract: Quantum computing is a modern calculation method that is based on the science of quantum mechanics. These phenomena include the bizarre behavior of particles at the atomic and subatomic levels, and the way that these particles can be in multiple states simultaneously. The field of computer science is a great mix of physics, math, and information theory. This technology provides high computing power, low power consumption, and exponential speed by controlling the behavior of small physical objects, such as atoms. Atoms, electrons, photons, etc. are all elements of the physical world. We would like to introduce the basics of quantum computing, and some of the ideas behind it. This article begins with the origins of the classical computer and discusses all the improvements and transformations that have been made due to its limitations thus far, then moves on to the basic operations of quantum computing and results in quantum properties such as superposition, entanglement, and interference.

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20

Traub, Joseph F. "Quantum Computing." Journal of Complexity 17, no. 1 (March 2001): 1. http://dx.doi.org/10.1006/jcom.2000.0565.

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21

Vijay, C. S., and Vishal Gupta. "Quantum computing." Resonance 5, no. 9 (September 2000): 69–81. http://dx.doi.org/10.1007/bf02836219.

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22

Vijay, C. S., and Vishal Gupta. "Quantum computing." Resonance 5, no. 10 (October 2000): 66–72. http://dx.doi.org/10.1007/bf02836843.

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23

Gupta, V. K. "Quantum to Quantum Computing." IETE Technical Review 19, no. 5 (September 2002): 333–47. http://dx.doi.org/10.1080/02564602.2002.11417048.

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24

Keyes, Robert W. "Quantum Computing and Digital Computing." IEEE Transactions on Electron Devices 57, no. 8 (August 2010): 2041. http://dx.doi.org/10.1109/ted.2010.2049225.

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25

Yamamoto, Yoshihisa, Kenta Takata, and Shoko Utsunomiya. "Quantum Computing vs. Coherent Computing." New Generation Computing 30, no. 4 (October 2012): 327–56. http://dx.doi.org/10.1007/s00354-012-0403-5.

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26

Kendon, Vivien M., Kae Nemoto, and William J. Munro. "Quantum analogue computing." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 368, no. 1924 (August 13, 2010): 3609–20. http://dx.doi.org/10.1098/rsta.2010.0017.

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We briefly review what a quantum computer is, what it promises to do for us and why it is so hard to build one. Among the first applications anticipated to bear fruit is the quantum simulation of quantum systems. While most quantum computation is an extension of classical digital computation, quantum simulation differs fundamentally in how the data are encoded in the quantum computer. To perform a quantum simulation, the Hilbert space of the system to be simulated is mapped directly onto the Hilbert space of the (logical) qubits in the quantum computer. This type of direct correspondence is how data are encoded in a classical analogue computer. There is no binary encoding, and increasing precision becomes exponentially costly: an extra bit of precision doubles the size of the computer. This has important consequences for both the precision and error-correction requirements of quantum simulation, and significant open questions remain about its practicality. It also means that the quantum version of analogue computers, continuous-variable quantum computers, becomes an equally efficient architecture for quantum simulation. Lessons from past use of classical analogue computers can help us to build better quantum simulators in future.

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27

Suau, Adrien, Gabriel Staffelbach, and Henri Calandra. "Practical Quantum Computing." ACM Transactions on Quantum Computing 2, no. 1 (April 2021): 1–35. http://dx.doi.org/10.1145/3430030.

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In the last few years, several quantum algorithms that try to address the problem of partial differential equation solving have been devised: on the one hand, “direct” quantum algorithms that aim at encoding the solution of the PDE by executing one large quantum circuit; on the other hand, variational algorithms that approximate the solution of the PDE by executing several small quantum circuits and making profit of classical optimisers. In this work, we propose an experimental study of the costs (in terms of gate number and execution time on a idealised hardware created from realistic gate data) associated with one of the “direct” quantum algorithm: the wave equation solver devised in [32]. We show that our implementation of the quantum wave equation solver agrees with the theoretical big-O complexity of the algorithm. We also explain in great detail the implementation steps and discuss some possibilities of improvements. Finally, our implementation proves experimentally that some PDE can be solved on a quantum computer, even if the direct quantum algorithm chosen will require error-corrected quantum chips, which are not believed to be available in the short-term.

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28

Ur Rasool, Raihan, Hafiz Farooq Ahmad, Wajid Rafique, Adnan Qayyum, Junaid Qadir, and Zahid Anwar. "Quantum Computing for Healthcare: A Review." Future Internet 15, no. 3 (February 27, 2023): 94. http://dx.doi.org/10.3390/fi15030094.

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In recent years, the interdisciplinary field of quantum computing has rapidly developed and garnered substantial interest from both academia and industry due to its ability to process information in fundamentally different ways, leading to hitherto unattainable computational capabilities. However, despite its potential, the full extent of quantum computing’s impact on healthcare remains largely unexplored. This survey paper presents the first systematic analysis of the various capabilities of quantum computing in enhancing healthcare systems, with a focus on its potential to revolutionize compute-intensive healthcare tasks such as drug discovery, personalized medicine, DNA sequencing, medical imaging, and operational optimization. Through a comprehensive analysis of existing literature, we have developed taxonomies across different dimensions, including background and enabling technologies, applications, requirements, architectures, security, open issues, and future research directions, providing a panoramic view of the quantum computing paradigm for healthcare. Our survey aims to aid both new and experienced researchers in quantum computing and healthcare by helping them understand the current research landscape, identifying potential opportunities and challenges, and making informed decisions when designing new architectures and applications for quantum computing in healthcare.

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29

Liu, Qiyu. "Comparisons of Conventional Computing and Quantum Computing Approaches." Highlights in Science, Engineering and Technology 38 (March 16, 2023): 502–7. http://dx.doi.org/10.54097/hset.v38i.5875.

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Quantum computers are capable of ultra fast computation in the fields where classical computers fail. Even though quantum computers are nowhere near commercialization, many researchers have developed quantum algorithms in fields such as modern encryption and molecular simulation, which, in theory, are exponentially faster than their classical counterparts. In this case, this paper will discuss the advantages of quantum computers over classical computers in those fields by examining and analyzing the various quantum algorithms. To be specific, the develop routine as well as detail examples will be exhibited to illustrate the differences and preferences. In addition, this study will also fully aware of the challenges that quantum computing researchers are facing. On this basis, possible limitations of quantum computers are also presented. The aim is to promote interest in quantum computing by introducing their supremacy in modern encryption and biological science. These results shed light on guiding further exploration of quantum computing algorithms.

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30

Tang, Wei, and Margaret Martonosi. "Distributed Quantum Computing via Integrating Quantum and Classical Computing." Computer 57, no. 4 (April 2024): 131–36. http://dx.doi.org/10.1109/mc.2024.3360569.

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31

Jordan, S. P. "Permutational quantum computing." Quantum Information and Computation 10, no. 5&6 (May 2010): 470–97. http://dx.doi.org/10.26421/qic10.5-6-7.

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In topological quantum computation the geometric details of a particle trajectory are irrelevant; only the topology matters. Taking this one step further, we consider a model of computation that disregards even the topology of the particle trajectory, and computes by permuting particles. Whereas topological quantum computation requires anyons, permutational quantum computation can be performed with ordinary spin-1/2 particles, using a variant of the spin-network scheme of Marzuoli and Rasetti. We do not know whether permutational computation is universal. It may represent a new complexity class within BQP. Nevertheless, permutational quantum computers can in polynomial time approximate matrix elements of certain irreducible representations of the symmetric group and approximate certain transition amplitudes from the Ponzano-Regge spin foam model of quantum gravity. No polynomial time classical algorithms for these problems are known.

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32

Hao, Yue, and Gui-Lu Long. "Quantum information and quantum computing." Fundamental Research 1, no. 1 (January 2021): 2. http://dx.doi.org/10.1016/j.fmre.2021.01.007.

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33

Mittal, Sweety. "Quantum communication and quantum computing." IOSR Journal of Computer Engineering 15, no. 1 (2013): 30–34. http://dx.doi.org/10.9790/0661-1513034.

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34

Kumar, Vishnu. "Quantum Computing: Quantum Key Distribution." IOSR Journal of Computer Engineering 16, no. 2 (2014): 122–25. http://dx.doi.org/10.9790/0661-16212122125.

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35

Owczarek, Robert. "Quantum mechanics for quantum computing." Journal of Knot Theory and Its Ramifications 25, no. 03 (March 2016): 1640009. http://dx.doi.org/10.1142/s0218216516400095.

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Quantum computing is a field of great interest, attracting, among others, the attention of many mathematicians. Although not all quantum mechanics is needed to successfully engage in research on quantum computing, the somewhat superficial approach usually applied by non-physicists is, in the opinion of the author of the lectures, not feasible. The following notes from lectures given at the mathematics department of George Washington University are meant to be a partial remedy to the situation, offering a very brief and slightly unorthodox introduction to one-particle quantum mechanics, and even shorter discussion of passage to multi-particle quantum mechanics, as needed for quantum computing.

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36

Minkel, J. R. "Quantum leap for quantum computing." IEEE Spectrum 43, no. 3 (March 2006): 17–18. http://dx.doi.org/10.1109/mspec.2006.1604833.

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37

PACHOS, JIANNIS, and PAOLO ZANARDI. "QUANTUM HOLONOMIES FOR QUANTUM COMPUTING." International Journal of Modern Physics B 15, no. 09 (April 10, 2001): 1257–85. http://dx.doi.org/10.1142/s0217979201004836.

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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 unitary quantum gates is realized by driving adiabatically the Hamiltonian parameters along loops in a control manifold. By properly designing such loops the nontrivial curvature of the underlying bundle geometry gives rise to unitary transformations i.e., holonomies that implement the desired unitary transformations. Conditions necessary for universal QC are stated in terms of the curvature associated to the non-abelian gauge potential (connection) over the control manifold. In view of their geometrical nature the holonomic gates are robust against several kind of perturbations and imperfections. This fact along with the adiabatic fashion in which gates are performed makes in principle HQC an appealing way towards universal fault-tolerant QC.

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38

Casati, Giulio. "Quantum Chaos and Quantum Computing." Journal of the Physical Society of Japan 72, Suppl.C (January 2003): 157–64. http://dx.doi.org/10.1143/jpsjs.72sc.157.

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39

Saraga, Daniel, and Daniel Loss. "Quantum Computing and Quantum Coherence." Imaging & Microscopy 8, no. 2 (June 2006): 34. http://dx.doi.org/10.1002/imic.200790033.

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40

Morimae, Tomoyuki. "Quantum randomized encoding, verification of quantum computing, no-cloning, and blind quantum computing." Quantum Information and Computation 21, no. 13&14 (September 2021): 1111–34. http://dx.doi.org/10.26421/qic21.13-14-3.

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Randomized encoding is a powerful cryptographic primitive with various applications such as secure multiparty computation, verifiable computation, parallel cryptography, and complexity lower bounds. Intuitively, randomized encoding $\hat{f}$ of a function $f$ is another function such that $f(x)$ can be recovered from $\hat{f}(x)$, and nothing except for $f(x)$ is leaked from $\hat{f}(x)$. Its quantum version, quantum randomized encoding, has been introduced recently [Brakerski and Yuen, arXiv:2006.01085]. Intuitively, quantum randomized encoding $\hat{F}$ of a quantum operation $F$ is another quantum operation such that, for any quantum state $\rho$, $F(\rho)$ can be recovered from $\hat{F}(\rho)$, and nothing except for $F(\rho)$ is leaked from $\hat{F}(\rho)$. In this paper, we show three results. First, we show that if quantum randomized encoding of BB84 state generations is possible with an encoding operation $E$, then a two-round verification of quantum computing is possible with a classical verifier who can additionally do the operation $E$. One of the most important goals in the field of the verification of quantum computing is to construct a verification protocol with a verifier as classical as possible. This result therefore demonstrates a potential application of quantum randomized encoding to the verification of quantum computing: if we can find a good quantum randomized encoding (in terms of the encoding complexity), then we can construct a good verification protocol of quantum computing. Our second result is, however, to show that too good quantum randomized encoding is impossible: if quantum randomized encoding for the generation of even simple states (such as BB84 states) is possible with a classical encoding operation, then the no-cloning is violated. Finally, we consider a natural modification of blind quantum computing protocols in such a way that the server gets the output like quantum randomized encoding. We show that the modified protocol is not secure.

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41

Gilbert Fakeyede, Ololade, Evelyn Chinedu Okeleke, Patrick Azuka Okeleke, and Olubukola Rhoda Adaramodu. "A COMPREHENSIVE REVIEW OF IT AUDIT METHODOLOGIES IN THE AGE OF QUANTUM COMPUTING." JOURNAL OF TECHNOLOGY & INNOVATION 3, no. 2 (2023): 85–92. http://dx.doi.org/10.26480/jtin.02.2023.85.92.

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The emergence of quantum computing presents a profound challenge and opportunity for information technology (IT) audit methodologies and IT security. Quantum computing’s potential to break classical encryption methods and its promise of exponential computational power necessitate a proactive response. This comprehensive review explores the fundamentals of quantum computing, the vulnerabilities of classical encryption, the transition to quantum-safe encryption, and the role of IT auditors in navigating this quantum landscape. Additionally, we address emerging quantum technologies, ethical considerations, and the interplay between quantum computing and IT security. To thrive in the quantum era, organisations are advised to plan for quantum-safe transitions, invest in quantum-resistant cryptography, monitor evolving regulations, develop quantum-ready workforces, integrate Quantum Key Distribution (QKD), and adopt a long-term security strategy. Adapting IT audit methodologies to the quantum era requires a multidisciplinary approach, and the recommendations provided here aim to guide organisations in securing their digital assets in this transformative quantum-empowered future.

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42

Keyes, Robert W. "Information, computing technology, and quantum computing." Journal of Physics: Condensed Matter 18, no. 21 (May 12, 2006): S703—S719. http://dx.doi.org/10.1088/0953-8984/18/21/s01.

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43

Milburn, Gerard. "Quantum-dot computing." Physics World 16, no. 10 (October 2003): 24. http://dx.doi.org/10.1088/2058-7058/16/10/33.

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44

Wendin, Göran. "Superconducting quantum computing." Physics World 16, no. 5 (May 2003): 24–26. http://dx.doi.org/10.1088/2058-7058/16/5/30.

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45

Denchev, Vasil S., and Gopal Pandurangan. "Distributed quantum computing." ACM SIGACT News 39, no. 3 (September 2008): 77–95. http://dx.doi.org/10.1145/1412700.1412718.

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46

Delic, Kemal A. "On Quantum Computing." Ubiquity 2015, September (September 11, 2015): 1–3. http://dx.doi.org/10.1145/2817212.

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47

Zak, Michail. "Quantum Analog Computing." Chaos, Solitons & Fractals 10, no. 10 (September 1999): 1583–620. http://dx.doi.org/10.1016/s0960-0779(98)00215-x.

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48

Janzing, Dominik, and Pawel Wocjan. "Ergodic Quantum Computing." Quantum Information Processing 4, no. 2 (June 2005): 129–58. http://dx.doi.org/10.1007/s11128-005-4482-9.

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49

Long, Guilu, and Yang Liu. "Duality quantum computing." Frontiers of Computer Science in China 2, no. 2 (June 2008): 167–78. http://dx.doi.org/10.1007/s11704-008-0021-z.

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50

Berthiaume, André, and Gilles Brassard. "Oracle Quantum Computing." Journal of Modern Optics 41, no. 12 (December 1994): 2521–35. http://dx.doi.org/10.1080/09500349414552351.

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