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Quantum Data Center Infrastructures: A Scalable Architectural Design Perspective
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This paper presents the design of scalable quantum networks that utilize optical switches to interconnect multiple quantum processors, facilitating large-scale quantum computing. By leveraging these novel architectures, we aim to address the limitations of current quantum processors and explore the potential of quantum data centers. We provide an in-depth analysis of these architectures through the development of simulation tools and performance metrics, offering a detailed comparison of their advantages and trade-offs. We hope this work serves as a foundation for the development of efficient and resilient quantum networks, designed to meet the evolving demands of future quantum computing applications.
Forward citations
Cited by 5 Pith papers
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A Framework for Quantum Data Center Emulation Using Digital Quantum Computers
Partitioning a single quantum processor into logical QPUs with collisional-model noise emulates a quantum data center on real hardware.
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Entanglement Cost of Erasure Correction in Quantum MDS Codes
For an [[n,2t-n]]_Q quantum MDS code, correcting a single erased node over a star network costs exactly 2t qudits when the replacement node is the hub and 2t minus 1 qudits when a helper node is the hub.
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Network-Aware Scheduling for Remote Gate Execution in Quantum Data Centers
In simulated quantum data centers, dynamic scheduling of entanglement generation reduces circuit execution delay compared to static scheduling, though aggressive lookahead hurts when qubit coherence is short.
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Optimized Quantum Circuit Partitioning Across Multiple Quantum Processors
A window-based circuit partitioning heuristic with dynamic one-way teleportation reduces EPR pairs versus a static baseline, and a structured QFT distribution uses nm/2 EPR pairs on m processors.
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Performance Analysis of QAOA Across Distributed Quantum Network Topologies Using SwitchQNet
QAOA on SwitchQNet yields modest ~1.4–2.2× communication-latency reductions across QDC topologies and is useful mainly as a diagnostic benchmark for entanglement-aware scheduling.
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