DYNAMO: Dynamic Neutral Atom Multi-programming Optimizer Towards Quantum Operating Systems
Wenjie Sun, Xiaoyu Li, Zhigang Wang, Geng Chen, Lianhui Yu, Guowu Yang

TL;DR
DYNAMO is a novel method for multi-programming on neutral atom quantum architectures, enabling concurrent execution of multiple quantum programs with improved resource efficiency and speed, advancing practical quantum operating systems.
Contribution
DYNAMO introduces parallel compilation and resource allocation techniques for multi-programming on neutral atom quantum systems, addressing resource partitioning and scheduling challenges.
Findings
Achieves up to 14.39x compilation speedup.
Reduces execution stages by an average of 50.47%.
Successfully balances workload distribution across multiple QPUs.
Abstract
As quantum computing advances towards practical applications, quantum operating systems become inevitable, where multi-programming -- the core functionality of operating systems -- enables concurrent execution of multiple quantum programs to enhance hardware utilization. However, most quantum compilation work focuses solely on single-circuit execution, severely limiting resource efficiency and hindering quantum operating system development. We propose Dynamic Neutral Atom Multi-programming Optimizer (DYNAMO), a method that realizes multi-programming on neutral atom quantum architectures through parallel compilation and intelligent resource allocation across multiple quantum processing units (QPUs). DYNAMO addresses two critical challenges: inefficient and difficult resource partitioning, and complex scheduling conflicts from concurrent program. Our method enables efficient spatial and…
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