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Journal articles on the topic 'Quantum computing'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Saravana Moorthy, R. "Quantum Computing as Emerging Computing for Future." International Journal of Scientific Engineering and Research 9, no. 9 (2021): 39–41. https://doi.org/10.70729/se21928121314.

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2

Băjenescu, Titu-Marius I. "QUANTUM COMPUTING." Journal of Engineering Science XXVIII (1) (March 15, 2021): 83–90. https://doi.org/10.52326/jes.utm.2021.28(1).08.

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The quantum computer, is a "supercomputer" that relies on the phenomena of quantum mechanics to perform operations on data. Object of suppositions, sometimes far-fetched, quantum mechanics gave birth to the quantum computer, a machine capable of processing data tens of millions of times faster than a conventional computer. A quantum computer doesn't use the same memory as a conventional computer. Rather than a sequence of 0 and 1, it works with qubits or quantum bits. The quantum computer is a combination of two major scientific fields: quantum mechanics and computer science. Qua

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3

Chinamanagonda, Sandeep. "Quantum Computing and Cloud: Future Prospects - Exploration of Quantum Computing Capabilities in the Cloud." International Journal of Science and Research (IJSR) 11, no. 10 (2022): 1415–23. http://dx.doi.org/10.21275/sr24829170608.

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MAHIPAL REDDY YALLA. "Quantum Cloud Computing for Next-Generation IT Infrastructures: Challenges, Opportunities, and Future Trends." World Journal of Advanced Engineering Technology and Sciences 10, no. 2 (2023): 361–71. https://doi.org/10.30574/wjaets.2023.10.2.0313.

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The combination of quantum computing elements with cloud services creates quantum cloud computing which provides unmatched abilities to solve complex problems in cryptography and optimization fields as well as artificial intelligence tasks and scientific simulations. The piece details both quantum computing's core operational methods and the construction elements of quantum cloud services and their combination with cloud-based infrastructure systems. This investigation evaluates the major obstacles which involve hardware constraints as well as error reduction requirements together with growth

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5

Sarpeshkar, Rahul, and Thomas E. Kurtz. "Quantum Computing: Redefining Computational Limits for the Next Era." International Journal of Innovative Computer Science and IT Research 1, no. 01 (2025): 1–6. https://doi.org/10.63665/ijicsitr.v1i01.02.

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Quantum computing is poised to revolutionize the world of computation by har nessing the principles of quantum mechanics to solve problems that are beyond the capabilities of classical computers. Unlike traditional binary computing, which relies on bits that exist as 0s or 1s, quantum computing operates using qubits, which leverage superposition, entanglement, and quantum parallelism to perform computations exponentially faster. This transformative technology has applications in cryptography, artificial intelligence, materials science, and complex system simulations, offering unprecedented com

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6

G. Kaushik Raj, G. Kaushik Raj. "Quantum Computing." Journal of Software Engineering and Simulation 11, no. 5 (2025): 15–21. https://doi.org/10.35629/3795-11051521.

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Quantum computing performs computations by tapping the very laws that govern quantum mechanics, thereby making those computations far more efficient than does a classical computer. Quantum computers, through qubits and quantum phenomena like superposition, entanglement, and interference, will be able to solve some complex problems in cryptography, chemistry, optimization, and others. This paper discusses core principles and historical development, theoretical foundations of quantum computing, practical implications, and current challenges. However, as research progresses, quantum computing wou

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Brahmam Ainala, Veera, Yaswanth Arikatla, Varma Seru, Sahil Dasu, and B. Bikram. "Quantum computing’s paradigm shift : Implications and Opportunities for Cloud Computing." Buana Information Technology and Computer Sciences (BIT and CS) 5, no. 2 (2024): 99–108. https://doi.org/10.36805/bit-cs.v5i2.6649.

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The field of computing is about to undergo a revolution thanks to quantum computing, a ground-breaking innovation based on the ideas of quantum physics. The enormous implications and potential that quantum computing has for cloud computing are explored in this publication. We examine the difficulties faced by current cryptography systems as well as prospective improvements in fields like machine learning, simulations, and data security as we delve into the basic alterations in computing paradigms. Additionally, we go over the revolutionary possibilities for cloud computing, such as the creatio

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Das, Kingkar. "Quantum Computing." International Journal for Research in Applied Science and Engineering Technology 12, no. 2 (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 capabili

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9

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

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10

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

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11

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

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12

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 (2001): 11847–48. http://dx.doi.org/10.1073/pnas.191373698.

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13

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

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14

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

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15

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

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16

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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17

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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18

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

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19

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

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20

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

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21

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

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22

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

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23

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

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24

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

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25

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

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26

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 (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.

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27

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

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28

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

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

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30

Vamsikrishna Anumolu. "Fundamentals of Modern Quantum Computing: A Technical Overview." International Journal of Scientific Research in Computer Science, Engineering and Information Technology 11, no. 2 (2025): 669–83. https://doi.org/10.32628/cseit25112401.

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Quantum computing stands at the frontier of computational technology, offering a radical departure from classical computing paradigms. This article provides a comprehensive exploration of quantum computing fundamentals, recent technological advancements, and potential applications across various domains. Beginning with core quantum concepts such as qubits, superposition, and entanglement, the discussion progresses to address critical challenges in quantum system development, including scalability, error correction, and coherence time improvements. The article examines breakthrough algorithms i

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31

Hullurappa, Muniraju. "Uniting Quantum Computing and Artificial Intelligence: Exploring New Frontiers." FMDB Transactions on Sustainable Computer Letters 2, no. 2 (2024): 120–30. http://dx.doi.org/10.69888/ftscl.2024.000186.

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Two powerful technologies, quantum computing and artificial intelligence (AI), can potentially disrupt sectors and solve some of society’s greatest problems in practically every industry. A study on how quantum computing and AI can work together. We seek to provide a comprehensive literature review encompassing key contributions and problems from both domains. The AI mission’s unique quantum computing strategy and how quantum algorithms can be used to slave for machine learning models and high-speed, sophisticated, accepted handling are explained. Quantum Computing has been shown to improve AI

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32

Attya, Salih Mahmoud, Suhad Qasim G. Haddad, Hamid Kareem Radam Al-Zaidi, Wafaa Mustafa Hameed, and Nabaa Latif. "Quantum Computing Impact on Traditional Computer Architecture Models." Radioelectronics. Nanosystems. Information Technologies. 16, no. 5 (2024): 691–704. http://dx.doi.org/10.17725/j.rensit.2024.16.691.

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Background: Traditional computer architectures are based on classical computational techniques, challenged by rapid advances in quantum computing. Quantum computers use quantum bits (qubits) to do calculations at speeds unreachable by classical computers, possibly revolutionizing many fields by providing exponential improvements in processing power. Objective: The article aims to investigate the potential consequences of quantum computing on traditional computer architectural models, emphasizing integration issues and transformative powers. Methods: We conducted extensive literature reviews an

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33

Smt., Maheshwari. S. Hiremath. ""A Delineate On Quantum Computing"." International Journal of Advance and Applied Research 4, no. 10 (2023): 144–47. https://doi.org/10.5281/zenodo.7820731.

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What makes a computer a computer is the processor; size over time. The number of processors is decreasing and the processing speed is steadily increasing current size. The processor is very small, but in the future, it will be the size of an atom. It will not be possible for classic computers to have such a small processor and delivered a huge amount of processing speed. Here the quantum computer takes the lead. On quantum mechanical phenomena like overlap, entanglement, and tunneling, among others, quantum computers are founded. In this report, we're going to talk about quantum computers,

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34

Madhusudhana, R., K. C Navyashree, L. Krishnamurthy, and R. Gopalkrishne Urs. "Advancements in Quantum Computing - A Review." International Journal of Scientific Engineering and Research 8, no. 12 (2020): 1–3. https://doi.org/10.70729/se201213203603.

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35

CR, Senise Jr. "The (Present) Age of Quantum Computing." Physical Science & Biophysics Journal 7, no. 1 (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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36

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

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37

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

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38

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 (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 ho

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39

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

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40

Njoki, Wanjiku Amani. "Statistical Challenges and Opportunities in Quantum Computing: A Review." IDOSR JOURNAL OF COMPUTER AND APPLIED SCIENCES 9, no. 1 (2024): 33–37. http://dx.doi.org/10.59298/jcas/2024/91.153337001.

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Quantum computing represents a transformative paradigm shift in computational capabilities by leveraging quantum mechanical principles such as superposition and entanglement. This article explores the intersection of quantum computing with statistical methods, focusing on key areas such as quantum error correction (QEC), statistical inference, data interpretation, and optimization of quantum algorithms. Quantum error correction is essential due to quantum systems' susceptibility to errors, requiring advanced statistical techniques for error detection and mitigation without collapsing quantum s

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41

Suau, Adrien, Gabriel Staffelbach, and Henri Calandra. "Practical Quantum Computing." ACM Transactions on Quantum Computing 2, no. 1 (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 da

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42

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

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43

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 (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 comp

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44

Jayesh, Pravin Oza. "Quantum Computing & Advanced Algorithms." International Journal of Advance and Applied Research S6, no. 23 (2025): 239–44. https://doi.org/10.5281/zenodo.15195143.

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<em>Quantum computing represents a revolutionary advancement in computational technology, harnessing The fundamentals of quantum mechanics to solve problems that are intractable for classical computers. The study focuses on advanced quantum algorithms including Shor's algorithm for integer factorization and Grover's algorithm for unstructured search, highlighting their potential to transform fields like cryptography, optimization, and machine learning. Additionally, the paper examines the current state of quantum hardware, including trapped ions, superconducting qubits and discusses the challe

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45

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 consi

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46

Jordan, S. P. "Permutational quantum computing." Quantum Information and Computation 10, no. 5&6 (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 clas

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47

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

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48

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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49

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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50

Owczarek, Robert. "Quantum mechanics for quantum computing." Journal of Knot Theory and Its Ramifications 25, no. 03 (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 eve

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