OS 2.0: Revolutionizing Operating System Architecture for Quantum Computing

Authors

  • Ushaa Eswaran Principal and Professor, Department of ECE, Indira Institute of Technology and Sciences, Markapur, AndhraPradesh, India
  • Vivek Eswaran Senior Software Engineer, Tech Lead at Medallia, Austin, Texas, United States
  • Keerthna Murali Secure Connection: Cybersecurity, Site Reliability Engineer II (SRE) at Dell EMC | CKAD | AWS CSAA, United States
  • Vishal Eswaran Senior Data Engineer at CVS Health Centre, Dallas, Texas, United States

Keywords:

quantum computing, operating systems, quantum algorithms, qubit management, error correction, parallel processing, memory management, OS 2.0

Abstract

Quantum computing promises unprecedented processing power by harnessing quantum mechanical phenomena. However, existing operating systems are inadequate for the unique demands of quantum computers. This research proposes OS 2.0, a new operating system architecture tailored for quantum computing. A comprehensive literature review identifies key requirements like managing quantum entanglement and error correction. Evaluation of current operating systems reveals performance limits, lagging fault tolerance, and inability to control quantum interference effects. OS 2.0 aims to resolve these gaps through a modular, layered design optimizing memory management, parallelism, and qubit routing. Simulations demonstrate OS 2.0 reduces quantum state decoherence by 62% and executes quantum algorithms 78% faster than existing systems. By revolutionizing operating system design for the coming quantum era, OS 2.0 enables the construction of stable, scalable quantum computers outperforming classical machines. The principles pioneered in OS 2.0 chart the course for further advancements as quantum devices mature.

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Published

2023-12-19

How to Cite

Eswaran, U. ., Vivek Eswaran, Keerthna Murali, & Vishal Eswaran. (2023). OS 2.0: Revolutionizing Operating System Architecture for Quantum Computing. JOURNAL OF OPERATING SYSTEMS DEVELOPMENT &Amp; TRENDS, 10(3), 1–6. Retrieved from https://stmcomputers.stmjournals.com/index.php/JoOSDT/article/view/716