Publication | Open Access
ARQUIN: Architectures for Multinode Superconducting Quantum Computers
34
Citations
238
References
2024
Year
Quantum SoftwareQuantum System SoftwareEngineeringComputer ArchitectureQuantum EngineeringQuantum ComputingQuantum ControlQuantum NetworkEntanglement DistillationQuantum EntanglementParallel ComputingSuperconducting DevicesQuantum ScienceEntanglement GenerationPhysicsQuantum DeviceQuantum AlgorithmComputer EngineeringQuantum SwitchesQuantum RoutersComputer ScienceQuantum TransducersQuantum Runtime SystemsQuantum CompilersQuantum TechnologyApplied PhysicsQuantum DevicesQuantum NetworkingQuantum HardwareQuantum Algorithms
Modular quantum processors linked by optical interconnects can form a multinode quantum computer, but internode gates are 2–3 orders of magnitude noisier and slower than local operations, leaving the achievable performance of current hardware and algorithms uncertain. The study aims to quantify MNQC performance by modeling internode links, entanglement distillation, and local architecture, thereby guiding improvements in entanglement generation, distillation, and software. We analyze tradeoffs in entanglement generation and distillation, outline compiler and software strategies that balance local and internode gates, and identify scenarios where noisy quantum links outperform purely classical links. The analysis shows that link performance must improve by 10–100× and proposes a research roadmap for co‑designing hardware and software to build early MNQCs.
Many proposals to scale quantum technology rely on modular or distributed designs wherein individual quantum processors, called nodes, are linked together to form one large multinode quantum computer (MNQC). One scalable method to construct an MNQC is using superconducting quantum systems with optical interconnects. However, internode gates in these systems may be two to three orders of magnitude noisier and slower than local operations. Surmounting the limitations of internode gates will require improvements in entanglement generation, use of entanglement distillation, and optimized software and compilers. Still, it remains unclear what performance is possible with current hardware and what performance algorithms require. In this article, we employ a systems analysis approach to quantify overall MNQC performance in terms of hardware models of internode links, entanglement distillation, and local architecture. We show how to navigate tradeoffs in entanglement generation and distillation in the context of algorithm performance, lay out how compilers and software should balance between local and internode gates, and discuss when noisy quantum internode links have an advantage over purely classical links. We find that a factor of 10–100× better link performance is required and introduce a research roadmap for the co-design of hardware and software towards the realization of early MNQCs. While we focus on superconducting devices with optical interconnects, our approach is general across MNQC implementations.
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