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.
High-performance and scalable fault-tolerant quantum computation with lattice surgery on a 2.5 d architecture
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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.
The paper introduces concrete code deformation procedures for dense surface code packing, proposes hook-error-avoiding CNOT scheduling for syndrome extraction, and reports Monte Carlo simulations showing lower logical error rates than standard surface codes at large distances and low physical error,
citing papers explorer
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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.
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Dense packing of the surface code: code deformation procedures and hook-error-avoiding gate scheduling
The paper introduces concrete code deformation procedures for dense surface code packing, proposes hook-error-avoiding CNOT scheduling for syndrome extraction, and reports Monte Carlo simulations showing lower logical error rates than standard surface codes at large distances and low physical error,