Quantum

Bunny Codes: Broadening Superconducting Quantum Error Correction Capability through Advanced Control Engineering

Runshi Zhou, Xingye Yuan, Linghang Kong, Fang Zhang, Kai Zhang, Zhaohui Yang, Jianxin Chen

Featured July 5, 2026

AI-generated analysis — This is SciGrove's AI interpretation of the paper, not peer-reviewed content. Always refer to the original paper.

Simply

By using a special 'move-and-interact' gate called CXSWAP alongside regular gates, this paper finds new quantum error correction codes that work much better on simple hardware, making quantum computers more reliable.

In depth

The paper introduces Bunny codes, a new family of quantum low-density parity-check (qLDPC) codes designed for superconducting hardware. The core innovation is leveraging an expanded native gate set (CNOT and CXSWAP) to enable efficient syndrome extraction for non-local stabilizers on hardware with only nearest-neighbor connectivity. This approach significantly improves code rates and logical error rates compared to traditional surface/toric codes, effectively reducing hardware complexity by avoiding the need for long-range physical couplers.

Key Takeaways

1
The paper demonstrates that an expanded native gate set, specifically including the CXSWAP gate, can enable high-performance quantum error correction on hardware with limited nearest-neighbor connectivity.
2
The introduced Bunny codes achieve significantly higher code rates (up to 4.5x) and lower logical error rates (order of magnitude reduction) compared to conventional toric and surface codes.
3
This approach offers a practical route to implementing qLDPC codes with non-local stabilizers without requiring complex multi-layer hardware or long-range couplers, thereby reducing hardware complexity.

Conceptual Flow

HIGH LEVEL

Methodology: How to make complex codes work on simple hardware?

The paper uses a special gate that lets qubits move and interact at the same time, making it possible to use powerful error-correcting codes on simple quantum chips.

Simple Chip Layout

Use Special Gates

Complex Code Works

Results: What did they find?

The new codes protect quantum information much better and use fewer physical qubits than old methods, meaning quantum computers can be more reliable and efficient.

Old Codes (Many Qubits, High Errors)

New Codes (Fewer Qubits, Low Errors)

Better Quantum Computing

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