SHARE: Secure Hardware Allocation and Resource Efficiency in Quantum Systems
Suryansh Upadhyay, Swaroop Ghosh

TL;DR
This paper introduces COMDAP, a novel partitioning method for multi programming in quantum systems that significantly improves hardware utilization and security, addressing challenges like crosstalk and fault injection.
Contribution
The paper presents COMDAP and Secure COMDAP, innovative strategies for resource allocation that enhance efficiency and security in shared quantum hardware environments.
Findings
23% average improvement in hardware utilization
Average 0.05X increase in delta CX
3.5% average reduction in PST
Abstract
Quantum computing (QC) is poised to revolutionize problem solving across various fields, with research suggesting that systems with over 50 qubits may achieve quantum advantage surpassing supercomputers in certain optimization tasks. As the hardware size of Noisy Intermediate Scale Quantum (NISQ) computers continues to grow, Multi tenant computing (MTC) has emerged as a viable approach to enhance hardware utilization by allowing shared resource access across multiple quantum programs. However, MTC can also bring challenges and security concerns. This paper focuses on optimizing quantum hardware utilization in shared environments by implementing multi programming strategies that not only enhance hardware utilization but also effectively manage associated risks like crosstalk and fault injection. We propose a novel partitioning and allocation method called Community Based Dynamic…
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Taxonomy
TopicsQuantum Computing Algorithms and Architecture
