물과 미래 (Water for future)

한국수자원학회 (Korea Water Resources Association)
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수자원-기후 문제 해결을 위한 양자 컴퓨팅의 도전

  • 발행 : 2023.09.30
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초록

키워드

과제정보

본 결과물은 환경부의 재원으로 한국환경산업기술원의 기후위기 대응 홍수방어능력 혁신기술 개발사업의 지원을 받아 연구되었습니다.(RS-2023-00218873).

참고문헌

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  3. Andersen, U. L. (2021), Photonic chip brings optical quantum computers a step closer, Nature, 591, 40-41, https://doi.org/10.1038/d41586-021-00488-z.
  4. Franklin, D., and F. T. Chong (2004), Challenges in reliable quantum computing, in Nano, Quantum and Molecular Computing, pp. 247-266, Springer, New York, https://doi.org/10.1007/1-4020-8068-9_8.
  5. Giani, A., and Z. Eldredge (2021), Quantum computing opportunities in renewable energy, SN Comput. Sci., 2, 393, https://doi.org/10.1007/s42979-021-00786-3.
  6. Lubasch, M., et al. (2020), Variational quantum algorithms for nonlinear problems, Phys. Rev. A, 101(1), 010301(R), https://doi.org/10.1103/PhysRevA.101.010301.
  7. Moore, G. (1965), Cramming more components onto integrated circuits, Electronics, 38(8), 114, newsroom.intel.com/wp-content/uploads/sites/11/2018/05/moores-lawelectronics.pdf.
  8. Paudel, H. P., et al. (2022), Quantum computing and simulations for energy applications: Review and perspective, ACS Eng. Au, 2(3) 151-196, https://doi.org/10.1021/acsengineeringau.1c00033.
  9. Berger, C., Di Paolo, A., Forrest, T., Hadfield, S., Sawaya, N., Stechly, M. and Thibault, K., 2021. Quantum technologies for climate change: Preliminary assessment. arXiv preprint arXiv:2107.05362.