MEDICAL PHYSICS
Quantum Computing Role in Advancing Medical Physics Research
Alaa Salim Abdalrazzaq
Alnoor University, https://alnoor.edu.iq/
Nineveh 41012, Iraq
E-mail: alaa.salim@alnoor.edu.iq
Ameer Badr Khudhair
Al Mansour University College, https://muc.edu.iq/
Baghdad 10067, Iraq
E-mail: ameer.badr@muc.edu.iq
Nidhal Raoof Mahdi
Al Hikma University College, https://hiuc.edu.iq/
Baghdad 10015, Iraq
E-mail: nidhal.raoof@hiuc.edu.iq
Nozad H. Mahmood
Cihan University Sulaimaniya, https://sulicihan.edu.krd/
Sulaymaniyah City 46001, Kurdistan, Iraq
E-mail: nozad.mahmood@sulicihan.edu.krd
Salam Alsalame
Al-Turath University, https://uoturath.edu.iq/
Baghdad 10013, Iraq
E-mail: salam.madah@turath.edu.iq
Received June 25, 2024, peer-reviewed July 02, 2024, accepted July 05, 2024, published September 17, 2024.
Abstract: Background: Quantum computing represents a paradigm leap in computational capabilities, with potential applications across various scientific disciplines. The complicated computations required for imaging, radiation therapy, and molecular modeling in medical physics give novel prospects for quantum computing. Objective: This article investigates the role of quantum computing in medical physics research, with an emphasis on its potential to improve computational efficiency and accuracy and develop novel treatment approaches. Methods: A thorough literature analysis was undertaken to investigate recent advances in quantum computing and their implications in medical physics. Case studies were reviewed to demonstrate practical applications and possible advantages. Theoretical models were tested to forecast future developments. Statistical data from quantum computing implementations were gathered from many sources, particularly on improving processing speed and accuracy in medical physics applications. Results: The findings show that quantum computing can significantly improve the processing speed of complex simulations and imaging techniques, with some quantum algorithms outperforming classical algorithms by up to 100 times. In radiation therapy planning, quantum computing has exhibited a 25% boost in dose distribution calculation precision. Quantum algorithms have lowered calculation times in molecular modeling by about 40%, potentially boosting drug development and customized therapy by 30%. Conclusion: Quantum computing has the potential to alter medical physics by increasing computational capacity, which could lead to advancements in diagnostics, treatment planning, and medication development. The statistical results corroborate the promise of quantum computing in these domains, emphasizing the importance of ongoing interdisciplinary collaboration and research to fully achieve these benefits and address present hurdles in incorporating quantum computing into clinical practice.
Keywords: quantum computing, medical physics, computational efficiency, radiation therapy, molecular modeling, imaging techniques, drug discovery, personalized medicine, quantum algorithms, interdisciplinary research
UDC 530.145, 519.688, 53:61(075.8)
RENSIT, 2024, 16(5):755-766e
DOI: 10.17725/j.rensit.2024.16.755
Full-text electronic version of this article - web site http://en.rensit.ru/vypuski/article/604/16(6)755-766e.pdf