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CNOT circuit extraction for topologically-constrained quantum memories

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arxiv 1904.00633 v2 pith:KLHDQYRR submitted 2019-04-01 quant-ph

CNOT circuit extraction for topologically-constrained quantum memories

classification quant-ph
keywords circuitcircuitscnotquantummustphysicaltechniqueextraction
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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Many physical implementations of quantum computers impose stringent memory constraints in which 2-qubit operations can only be performed between qubits which are nearest neighbours in a lattice or graph structure. Hence, before a computation can be run on such a device, it must be mapped onto the physical architecture. That is, logical qubits must be assigned physical locations in the quantum memory, and the circuit must be replaced by an equivalent one containing only operations between nearest neighbours. In this paper, we give a new technique for quantum circuit mapping (a.k.a. routing), based on Gaussian elimination constrained to certain optimal spanning trees called Steiner trees. We give a reference implementation of the technique for CNOT circuits and show that it significantly out-performs general-purpose routines on CNOT circuits. We then comment on how the technique can be extended straightforwardly to the synthesis of CNOT+Rz circuits and as a modification to a recently-proposed circuit simplification/extraction procedure for generic circuits based on the ZX-calculus.

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  1. Noise-Aware Synthesis of Quantum LDPC Encoder Circuits via Two-Sided Hamming Descent

    quant-ph 2026-07 conditional novelty 6.0

    Two-sided Hamming descent plus noise-aware routing and live-range scheduling cuts CSS LDPC encoder CNOT counts by 53.8% aggregate and improves preparation fidelity under circuit-level noise.