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Hierarchical surface code for network quantum computing with modules of arbitrary size

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

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abstract

The network paradigm for quantum computing involves interconnecting many modules to form a scalable machine. Typically it is assumed that the links between modules are prone to noise while operations within modules have significantly higher fidelity. To optimise fault tolerance in such architectures we introduce a hierarchical generalisation of the surface code: a small `patch' of the code exists within each module, and constitutes a single effective qubit of the logic-level surface code. Errors primarily occur in a two-dimensional subspace, i.e. patch perimeters extruded over time, and the resulting noise threshold for inter-module links can exceed ~ 10% even in the absence of purification. Increasing the number of qubits within each module decreases the number of qubits necessary for encoding a logical qubit. But this advantage is relatively modest, and broadly speaking a `fine grained' network of small modules containing only ~ 8 qubits is competitive in total qubit count versus a `course' network with modules containing many hundreds of qubits.

fields

quant-ph 1

years

2026 1

verdicts

UNVERDICTED 1

representative citing papers

Fabless Quantum Chip Design and Commercial Production

quant-ph · 2026-06-16 · unverdicted · novelty 4.0

Proposes a fabless-foundry ecosystem for superconducting quantum chips built on certified PDKs, SPICE-Q multiphysics modeling, parameterized cells, Q-EDA automation, and a quantum-IP market.

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Showing 1 of 1 citing paper.

  • Fabless Quantum Chip Design and Commercial Production quant-ph · 2026-06-16 · unverdicted · none · ref 31 · internal anchor

    Proposes a fabless-foundry ecosystem for superconducting quantum chips built on certified PDKs, SPICE-Q multiphysics modeling, parameterized cells, Q-EDA automation, and a quantum-IP market.