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(2024). Experimentation of Noise on Quantum Monte Carlo Tree Search. 生物医学大数据, 4(2), 39-50.
Wang Michelle.Experimentation of Noise on Quantum Monte Carlo Tree Search[J].Biomedical Data Science,2024,04(02):39-50.
(2024). Experimentation of Noise on Quantum Monte Carlo Tree Search. 生物医学大数据, 4(2), 39-50. DOI： 10.47297/wspbdsWSP2752-630504.20240402.
Wang Michelle.Experimentation of Noise on Quantum Monte Carlo Tree Search[J].Biomedical Data Science,2024,04(02):39-50. DOI： 10.47297/wspbdsWSP2752-630504.20240402.
In 2023
CNN News reported that nearly 800
000 deaths or cases of permanent disability in the U.S. are linked to diagnostic errors annually
with some caused by mistakes in Artificial Intelligence (AI). The accuracy and accountability of AI in healthcare have long been questioned
and the application of Quantum Computing (QC) could improve the efficiency
accountability
and accuracy of decision trees.
Quantum ComputingMonte Carlo Tree Search
McPhillips D. (2023, July 19). Diagnostic errors linked to nearly 800,000 deaths or cases of permanent disability in US each year, study estimates. CNN. https://www.cnn.com/2023/07/19/health/diagnosis-error-study/index.htmlhttps://www.cnn.com/2023/07/19/health/diagnosis-error-study/index.html
Kounang N. (2022, December 16). More than 7 million incorrect diagnoses made in US emergency rooms every year, government report finds. CNN. https://www.cnn.com/2022/12/15/health/hospital-misdiagnoses-study/index.htmlhttps://www.cnn.com/2022/12/15/health/hospital-misdiagnoses-study/index.html
Davenport T., & Kalakota R. (2019). The Potential for Artificial Intelligence in Healthcare. Future Healthcare Journal, 6(2), 94–98. https://doi.org/10.7861/futurehosp.6-2-94https://doi.org/10.7861/futurehosp.6-2-94
Hall K., & Fitall E. (2020). Artificial Intelligence and Diagnostic Errors. Psnet.ahrq.gov. https://psnet.ahrq.gov/perspective/artificial-intelligence-and-diagnostic-errorshttps://psnet.ahrq.gov/perspective/artificial-intelligence-and-diagnostic-errors
Kanno, Shu & Nakamura, Hajime & Kobayashi, Takao & Gocho, Shigeki & Hatanaka, Miho & Yamamoto, Naoki & Gao, Qi. (2023). Quantum computing quantum Monte Carlo with hybrid tensor network toward electronic structure calculations of large-scale molecular and solid systems
OpenCourseWare, MIT . 2017. "6. Monte Carlo Simulation." Www.youtube.com. May 19Www.youtube.com.May19, 2017. https://www.youtube.com/watch?v=OgO1gpXSUzU&t=290shttps://www.youtube.com/watch?v=OgO1gpXSUzU&t=290s.
Clark, Bryan. 2023. "Quantum Monte Carlo." Illinois.edu. 2023 https://clark.physics.illinois.edu/Tutorials/VMCIntroTutorial/index.htmlhttps://clark.physics.illinois.edu/Tutorials/VMCIntroTutorial/index.html.
PACK, QMC. 2021. "2 - Introduction to Quantum Monte Carlo - QMC Workshop 2021." Www.youtube.com. October 21, 2021. https://www.youtube.com/watch?v=aOm3ilUNNU8&t=1310shttps://www.youtube.com/watch?v=aOm3ilUNNU8&t=1310s.
X. Zhou, Y. Feng and S. Li, "A Monte Carlo Tree Search Framework for Quantum Circuit Transformation," 2020 IEEE/ACM International Conference On Computer Aided Design (ICCAD), DiegoSan, CA, USA, 2020, pp. 1-7.
OpenCourseWare, MIT. 2018. "Advanced 4. Monte Carlo Tree Search." Www.youtube.com. October 26Www.youtube.com.October26, 2018. https://www.youtube.com/watch?v=xmImNoDc9Z4&t=1878shttps://www.youtube.com/watch?v=xmImNoDc9Z4&t=1878s.
C. B. Browne
e alt., "A Survey of Monte Carlo Tree Search Methods," in IEEE Transactions on Computational Intelligence and AI in Games, vol. 4, no. 1, pp. 1-43, March 2012, doi: 10.1109/TCIAIG.2012.2186810http://dx.doi.org/10.1109/TCIAIG.2012.2186810.
P. Wang, M. Usman, U. Parampalli, L. Hollenberg and C. Myers, "Automated Quantum Circuit Design With Nested Monte Carlo Tree Search" in IEEE Transactions on Quantum Engineering, vol. 4, no. 01, pp. 1-20, 2023. doi: 10.1109/TQE.2023.3265709http://dx.doi.org/10.1109/TQE.2023.3265709
math, ritvik. 2020. "Best Multi-Armed Bandit Strategy? (Feat: UCB Method)." Www.youtube.com. October 5, 2020. https://www.youtube.com/watch?v=FgmMK6RPU1c&t=510shttps://www.youtube.com/watch?v=FgmMK6RPU1c&t=510s.
Beisel, Martin, Johanna Barzen, Frank Leymann, Felix Truger, Benjamin Weder, and Vladimir Yussupov. 2022. "Configurable Readout Error Mitigation in Quantum Workflows" Electronics 11, no. 19: 2983. https://doi.org/10.3390/electronics11192983https://doi.org/10.3390/electronics11192983
Kim, Jihye, Byungdu Oh, Yonuk Chong, Euyheon Hwang, and Daniel K Park. 2022. "Quantum Readout Error Mitigation via Deep Learning." New Journal of Physics 24 (7): 073009. https://doi.org/10.1088/1367-2630/ac7b3dhttps://doi.org/10.1088/1367-2630/ac7b3d.
Qiskit Contributors, "Qiskit: An Open-source Framework for Quantum Computing", 2023, doi: 10.5281/zenodo.2573505http://dx.doi.org/10.5281/zenodo.2573505
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