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OpenSurgery for Topological Assemblies

1 Pith paper cite this work. Polarity classification is still indexing.

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abstract

Surface quantum error-correcting codes are the leading proposal for fault-tolerance within quantum computers. We present OpenSurgery, a scalable tool for the preparation of circuits protected by the surface code operated through lattice surgery. Lattice surgery is considered a resource efficient method to implement surface code computations. Resource efficiency refers to the number of physical qubits and the time necessary for executing a quantum computation. OpenSurgery is a first step towards methods that aid quantum algorithm design informed by the realities of the hardware architectures. OpenSurgery can: 1) lay out arbitrary quantum circuits, 2) estimate the quantum resources used for their execution, 3) visualise the resulting 3D topological assemblies. Source code is available at http://www.github.com/alexandrupaler/opensurgery.

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representative citing papers

Harvest: Resource-Aware Quantum Compilation for Magic State Protocols

quant-ph · 2026-08-04 · conditional · novelty 6.0

Harvest co-optimizes placement, routing, scheduling, and magic-state supply for lattice-surgery quantum programs, reporting up to 17.8x speedup over sequential execution and reclaiming up to 72% of unused magic-state patches.

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  • Harvest: Resource-Aware Quantum Compilation for Magic State Protocols quant-ph · 2026-08-04 · conditional · none · ref 2020 · internal anchor

    Harvest co-optimizes placement, routing, scheduling, and magic-state supply for lattice-surgery quantum programs, reporting up to 17.8x speedup over sequential execution and reclaiming up to 72% of unused magic-state patches.