TARU PUBLICATIONS
COLLNET Journal of Scientometrics and Information Management cover
Hybrid ·Peer-reviewed·ISSN (Online): 2168-930X·ISSN (Print): 0973-7766

WoS  JIF 2026 : 0.6 (Q3)

Powered by:Powered by

Half-Yearly Journal: Publishes research and articles on scientometrics and information management, including bibliometric analysis and quality assurance models.

Issues up to 2022 co-published with and available at:Taylor & Francis Online
EDITOR-CJSIM@tarupublications.com
Open Access Research Article

A drop of quantum dots in the ocean of quantum computing

* ,

* Corresponding author · click or hover a name for details

pp. 141–157Vol. 17Issue 1June 2023DOI: 10.47974/CJSIM-2022-0050XML
Published Online:
01 Jun 2023
Article type:
Research Article
Language:
EN
Article no.:
CJSIM-2022-0050
Pages:
141–157

Abstract

The composition tunable and special size electronic feature of quantum dots makes promising feature of quantum dots and promising number of new technologies and applications. Understanding the research patterns and opportunities in the field of quantum dots, gives birth to advanced technologies. Nowadays it is essential to examine the transition in artificial atoms that is quantum dots to the next generation evolution and biosafety. The paper gives the analysis of scientific publications in the field of quantum dots. The quantitative and qualitative analysis of the research publication of quantum dots in quantum computing revealed the emerging sub-field and future development trends. The paper focuses on the relevant publications from 1986 to early mid of 2022, using Scopus and Web of Science research database. Using the popular search keywords, the analysis not only focuses on trends of the quantum dots in quantum computing but also points out future directions for the researchers.

Keywords

References

[1] Abdurrahman, A., Siregar, A., & Umam, R. The effect of feedback as soft scaffolding on ongoing assessment toward the quantum physics concept mastery of the prospective physics teachers. Jurnal Pendidikan IPA Indonesia, 7(1), 2018, 41-47. https://doi. org/10.15294/jpii.v6i2.7239.
[2] Brif, C., Chakrabarti, R., & Rabitz, H. Control of quantum phenomena: past, present and future. New Journal of Physics, 12(7), 2010, 075008.
[3] Mangini, S., Tacchino, F., Gerace, D., Bajoni, D., & Macchiavello, C. Quantum computing models for artificial neural networks. EPL (Europhysics Letters), 134(1), 2021, 10002.
[4] Dieterle, T., Berngruber, M., Hölzl, C., Löw, R., Jachymski, K., Pfau, T., & Meinert, F. Transport of a single cold ion immersed in a Bose-Einstein condensate. Physical Review Letters, 126(3), 2021, 033401.https://doi.org/10.1103/PhysRevLett.126.033401.
[5] Górski, G., & Kucab, K. Transport properties of proximitized double quantum dots. Physica E: Low-dimensional Systems and Nanostructures, 126, 2021, 114459. https://doi. org/10.1016/j.physe.2020.114459.
[6] Duan, J., Chow, W. W., Dong, B., Huang, H., Liu, S., Norman, J. C.,& Grillot, F. Enhanced optical nonlinearities in epitaxial quantum dots lasers on silicon for future photonic integrated systems. arXiv preprint arXiv:2106.10871. 2021.
[7] Gidwani, B., Sahu, V., Shukla, S. S., Pandey, R., Joshi, V., Jain, V. K., & Vyas, A. Quantum dots: Prospectives, toxicity, advances and applications. Journal of Drug Delivery Science and Technology, 61, 2021, 102308. https://doi.org/10.1016/j.jddst.2020.102308.
[8] Wigger, D., Gawarecki, K., & Machnikowski, P. Remote Phonon Control of Quantum Dots and Other Artificial Atoms. Advanced Quantum Technologies, 4(4), 2021, 2000128. https://doi.org/10.1002/qute.202000128.
[9] Basso Basset, F., Salusti, F., Schweickert, L., Rota, M. B., Tedeschi, D., Covre da Silva, S. F., ... & Trotta, R., Quantum teleportation with imperfect quantum dots. npj Quantum Information, 7(1), 7 (2021). Doi: https://doi.org/10.1038/s41534-020-00356-0.
[10] Rudno-Rudziński, W., Burakowski, M., Reithmaier, J. P., Musiał, A., & Benyoucef, M. Magneto-optical characterization of trions in symmetric InP-based quantum dots for quantum communication applications. Materials, 14(4), 2021, 942.
[11] Chakravarty, S., Teng, M., Safian, R., & Zhuang, L. Hybrid material integration in silicon photonic integrated circuits. Journal of Semiconductors, 42(4), 2021, 041303. https:// doi.org/10.1088/1674-4926/42/4/041303.
[12] Kojima, Y., Nakajima, T., Noiri, A., Yoneda, J., Otsuka, T., Takeda, K., & Tarucha, S. Probabilistic teleportation of a quantum dot spin qubit. npj Quantum Information, 7(1), 2021, 1-6. https://doi.org/10.1038/s41534-021-00403-4.
[13] Kandel, Y. P., Qiao, H., Fallahi, S., Gardner, G. C., Manfra, M. J., & Nichol, J. M. Adiabatic quantum state transfer in a semiconductor quantum-dot spin chain. Nature communications, 12(1), 2021, 1-10. https://doi.org/10.1038/s41467-021-22416-5.
[14] Jiang, W., Xiong, J., & Shi, Y. A co-design framework of neural networks and quantum circuits towards quantum advantage. Nature communications, 12(1), 2021, 1-13. https://doi.org/10.1038/s41467-020-20729-5.
[15] Chhangte, L., & Chakrabarty, A. Technique for two-dimensional nearest neighbour realisation of quantum circuits using weighted look-ahead. IET Computers & Digital Techniques, 14(6), 2020, 281-289. https://doi.org/10.1049/iet-cdt.2019.0257.
[16] Bhattacharjee, A., Bandyopadhyay, C., Mukherjee, A., Wille, R., Drechsler, R., & Rahaman, H. Efficient implementation of nearest neighbor quantum circuits using clustering with genetic algorithm. In 2020 IEEE 50th International Symposium on Multiple-Valued
Logic (ISMVL), 2020, 40-45. IEEE. 10.1109/ISMVL49045.2020.00-32.
[17] Yu, X., Chang, K., Dong, A., Gan, Z., Jiang, K. A., Ling, Y., & Wang, H. High-performance resistive switching memory with embedded molybdenum disulfide quantum dots. Applied Physics Letters, 118(17), 2021, 172104. https://doi.org/10.1063/5.0039654.
[18] Mo, M., Wang, J., & Wu, Y. Quantum speedup via engineering multiple environments. Annalen der Physik, 529(5), 2017, 1600221. https://doi.org/10.1002/andp.201600221.
[19] Gao, N., Wilson, M., Vandal, T., Vinci, W., Nemani, R., & Rieffel, E. High-Dimensional Similarity Search with Quantum-Assisted Variational Autoencoder. In Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining. 2020, (pp. 956-964). https://doi.org/10.1145/3394486.3403138.
[20] Madsen, L. S., Laudenbach, F., Askarani, M. F., Rortais, F., Vincent, T., Bulmer, J. F., & Lavoie, J. Quantum computational advantage with a programmable photonic processor. Nature, 606(7912), 2022, 75-81. https://doi.org/10.1038/s41586-022-04725-x.
[21] Law, S., & Kokkelmans, S. Materials for quantum technologies: Computing, information, and sensing. Journal of Applied Physics, 129, 2021,140401. https://doi. org/10.1063/5.0050140.
[22] Thapliyal, H., & Ranganathan, N. Design of reversible sequential circuits optimizing quantum cost, delay, and garbage outputs. ACM Journal on Emerging Technologies in Computing Systems (JETC), 6(4), 2010, 1-31. https://doi.org/10.1145/1877745.1877748.
[23] Thapliyal, H., & Ranganathan, N. Design of efficient reversible binary subtractors based on a new reversible gate. In 2009 IEEE computer society Annual symposium on VLSI. 2009, 229-234). IEEE. https://doi.org/10.1109/ISVLSI.2009.49.
[24] Eriksson, M. A., Friesen, M., Coppersmith, S. N., Joynt, R., Klein, L. J., Slinker, K., & Koester, S. J. Spin-based quantum dot quantum computing in silicon. Quantum Information Processing, 3(1), 2004, 133-146. https://doi.org/10.1007/s11128-004-2224-z.
[25] Ardavan, A., Austwick, M., Benjamin, S. C., Briggs, G. A. D., Denni s, T. J. S., Ferguson, A., ... & Hamers, R. J. Nanoscale solid-state quantum computing. Philosophical Transactions of the Royal Society of London. Series A: Mathematical, Physical and Engineering
Sciences, 361(1808), 2003, 1473-1485. https://doi.org/10.1098/rsta.2003.1214.
[26] Claessens, C. G., Hahn, U. W. E., & Torres, T. Phthalocyanines: From outstanding electronic properties to emerging applications. The Chemical Record, 8(2), 2008, 75-97. https://doi.org/10.1002/tcr.20139.
[27] Córcoles, A. D., Magesan, E., Srinivasan, S. J., Cross, A. W., Steffen, M., Gambetta, J. M., & Chow, J. M. Demonstration of a quantum error detection code using a square lattice of four superconducting qubits. Nature communications, 6(1), 2015, 1-10. https://
doi.org/10.1038/ncomms7979.
[28] Ohno, Y., Young, D. K., Beschoten, B. A., Matsukura, F., Ohno, H., & Awschalom, D. D. Electrical spin injection in a ferromagnetic semiconductor heterostructure. Nature, 402(6763), 1999, 790-792. https://doi.org/10.1038/45509.
[29] Hsieh, D., Xia, Y., Wray, L., Qian, D., Pal, A., Dil, J. H., & Hasan, M. Z. Observation of unconventional quantum spin textures in topological insulators. Science, 323(5916), 2009 919-922. https://doi.org/10.1126/science.1167733.
[30] Zhang, H., Yee, D., & Wang, C. Quantum dots for cancer diagnosis and therapy: biological and clinical perspectives. Nanomedicine, 3(83-91). 2008, https://doi. org/10.2217/17435889.3.1.83.
[31] Li, Z., Fan, J., Tong, C., Zhou, H., Wang, W., Li, B., & Wang, W. A smart drug-delivery nanosystem based on carboxylated graphene quantum dots for tumor-targeted chemotherapy. Nanomedicine, 14(15), 2011. https://doi.org/10.2217/nnm-2018-0378.

Views: 276Downloads: 95Citations: 0