한국전자통신학회논문지 (The Journal of the Korea institute of electronic communication sciences)

한국전자통신학회 (Korea Institute of Electronic Communication Science)
권호 표지
DOI QR코드

DOI QR Code

양자의 중첩 특성을 이용한 소리의 생성 및 제어에 대한 연구

A Study on The Create and Control of Sound using The Quantum Superposition Characteristics

  • 조민호 (중원대학교 컴퓨터공학과)
  • Min-Ho Cho (Dept. Computer System Engineering, JungWon University)
  • 투고 : 2023.06.26
  • 심사 : 2023.08.17
  • 발행 : 2023.08.31
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

이번 연구는 양자 컴퓨터가 가지는 중첩의 특성을 이용하여 음악을 만들어 보고자 하는 의도에서 시작하였다. 기존의 음악은 작곡가가 작곡한 것에 제한되는 특징을 가진다. 하지만, 양자 컴퓨터의 중첩을 이용한 음악은 제한된 범위 내에서 실행 시에 변화되는 음악적 특징을 가진다. 이를 이용하여, 실행 시에 특정 화음을 기준으로 변화하는 음악을 만들 수 있을 것이다. 이번 논문에서는 양자 컴퓨터와 기존 컴퓨터를 연결하여 소리를 발생시킨다, 그리고 중첩의 성질을 적용하여 변화하는 음을 만들어내는 것에 중점을 둔다.

This research began with the intention to create music using the superposition characteristics of quantum computers. Existing music has characteristics that are limited to those composed by composers. However, music using the overlap of quantum computers has musical characteristics that change when executed within a limited range. Using this, you will be able to create music that changes based on specific chords at run time. In this paper, quantum computers and existing computers are connected to generate sound, And it focuses on creating changing sounds by applying the nature of superposition.

키워드

참고문헌

  1. C. Kim, S, Choi and K. Kwahk, "Investigation of Research Trends in Information Systems Domain Using Topic Modeling and Time Series Regression Analysis," Journal of Digital Contests Society, vol. 18, no. 6, Oct. 2017, pp. 1143-1150.
  2. Y. Guo, Y. Liu, A. oerlemans, S. Lao, S. Wu and M. S. Lew, "Deep Learning for visual understanding : A review," Neurocomputing, vol. 187, Apr. 2016, pp. 27-48. https://doi.org/10.1016/j.neucom.2015.09.116
  3. G. Hinton, L. Deng, D. Yu, G. E. Dahl, A. Mohamed, N. Jaitly, A. Senoir, V. Vanhoucke, P. Nguyen, T. N. Sainath and B. Kingbury, "Deep neural networks for acoustic modeling in speech recognition," IEEE Signal Processing Magazine, vol. 29, issue. 6, Nov. 2012, pp. 82-97. https://doi.org/10.1109/MSP.2012.2205597
  4. M. Cho, "A study on the history, classification and development direction of artificial intelligence," J. of the Korea Institute of Electronic Communication Sciences, vol. 16, no. 2, April. 2021, pp. 307-312.
  5. J. Moon and Y. Lee, "Artificial Intelligence Computing Platform Design for Underwater Localization" J. of the Korea Institute of Electronic Communication Sciences, vol. 17, no. 1, Feb, 2022, pp. 119-124.
  6. C. Lee and H. Park, "A Comparative Study on the Accuracy of Important Statistical Prediction Technique of Marketing Data," J. of the Korea Institute of Electronic Communication Sciences, vol. 16, no. 3, June. 2021, pp. 519-524.
  7. M. Cho, "Comparison of prediction accuracy between regression analysis and deep learning and empirical analysis of the importance of techniques for optimizing deep learning models." J. of the Korea Institute of Electronic Communication Sciences, vol. 18, no. 2, Febl. 2022, pp. 299-304.
  8. M. Dahiya, "A Tool of Conversation : Chatbot," International Journal of Computer Sciences and Engineering, vol. 5, issue. 5, May 2017, pp. 158-161.
  9. J. Jhang and C. Zong, "Deep Neural Networks in Machine Translation: An Overview," IEEE Intelligent Systems, vol. 30, issue. 5, Sept.-Oct. 2015, pp. 16-25. https://doi.org/10.1109/MIS.2015.69
  10. T. Forcer, T. Hey, D, Ross and P. Smith, "Superposition, Entanglement and Quantum Computing," Quantum Information & Computation, vol. 2, no. 2, Feb. 2002, pp. 97-116. https://doi.org/10.26421/QIC2.2-1
  11. A. Khrennikov, "Roots of quantum computing supermacy:superposition, entanglement, or complementarity?," The European Physical Journal Special Topicss, vol. 230, 2021, pp. 1053-1057. https://doi.org/10.1140/epjs/s11734-021-00061-9
  12. E. Feldman, "MIDI music model," SoutheastCon 2015, Fort Lauderdale, FL, USA, June, 2015, pp. 1-4, doi: 10.1109/SECON.2015.7133038.