A modular end-to-end simulation framework jointly models surface-code operations, QPU connectivity, and network constraints to produce execution latency and logical error rate estimates, revealing network-dependent operating regimes for distributed quantum computing.
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A workload-aware surface-code architecture with ancilla-centric patches and T-gate-based floorplanning reduces required data tiles by up to 21% while maintaining near-optimal cycles per instruction and reaching 90% efficiency for 10 concurrent programs.
O3LS reduces space overhead by up to 46.7% and time overhead by up to 36% in lattice surgery while suppressing logical error rates by up to an order of magnitude compared with prior layout and scheduling approaches.
citing papers explorer
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Impact of Network Constraints on Fault-Tolerant Distributed Quantum Computing
A modular end-to-end simulation framework jointly models surface-code operations, QPU connectivity, and network constraints to produce execution latency and logical error rate estimates, revealing network-dependent operating regimes for distributed quantum computing.
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Toward designing workload-aware Surface Code Architectures
A workload-aware surface-code architecture with ancilla-centric patches and T-gate-based floorplanning reduces required data tiles by up to 21% while maintaining near-optimal cycles per instruction and reaching 90% efficiency for 10 concurrent programs.
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O3LS: Optimizing Lattice Surgery via Automatic Layout Searching and Loose Scheduling
O3LS reduces space overhead by up to 46.7% and time overhead by up to 36% in lattice surgery while suppressing logical error rates by up to an order of magnitude compared with prior layout and scheduling approaches.