Methodology of Analytic and Computational Studies on Quantum Systems

Yuri A. Rylov

Nisar Hussain, Amna Qasim, Gull Mehak +1 more

This study explores the integration of Agile methodologies with quantum high-performance computing (HPC) in healthcare. It proposes an architecture that supports user-centred design, iterative development, and cross-functional teams. The approach enhances software for personalised medicine, real-time monitoring, and telemedicine by combining Agile practices with quantum HPC’s speed and accuracy. Wearable devices and sensors support continuous patient monitoring, while data analytics and machine learning improve outcomes. The integration aims to boost efficiency, access, and care quality, ensuring better security and privacy in healthcare systems.

Grigori Karlovich Giorgadze

Abdullah Abdullah, Nida Hafeez, Kinza Sardar +3 more

This study explores the integration of Agile methodologies and quantum high-performance computing (HPC) in healthcare. Agile methodology offers flexibility, while quantum HPC has the potential to revolutionize healthcare. The paper presents an architectural design for HPC in healthcare, discussing tool alignment, software development, and integration challenges. It emphasizes user-centered design, cross-functional teams, continuous integration, and retrospectives for software development. Personalized medical tools leverage data analytics and machine learning (ML) with quantum HPC for improved speed and accuracy. Real-time patient monitoring systems utilize wearable devices and sensors, developed iteratively using Agile methodology. The integration of Agile methodologies with quantum HPC can transform healthcare, improving access, efficiency, and patient outcomes. The study focuses on developing personalized medicine, real-time monitoring, and telemedicine tools to ensure improved care, security, and privacy through quantum HPC advancements.

Oana Boncalo, Mihai Udrescu, Lucian Prodan +2 more

This paper addresses the problem of evaluating the Fault Tolerance Algorithms and Methodologies (FTAMs) designed for quantum systems, by adopting the Simulated Fault Injection methodology from classical computation. Due to their wide spectrum of applications (including quantum circuit simulation) and hierarchical features, the HDLs were employed for performing fault injection, as prescribed by the guidelines of the QUERIST project. At the same time, the injection techniques taken from classical circuit simulation had to be adapted to quantum computation requirements, including the specific quantum error models. The experimental simulated fault injection campaigns are thoroughly described along with the experimental results, which confirm the analytical expectations.

David M. Ceperley