Fault-tolerant correction-ready encoding of the [[7,1,3]] Steane code on a 2D grid
- URL: http://arxiv.org/abs/2504.01083v1
- Date: Tue, 01 Apr 2025 18:00:30 GMT
- Title: Fault-tolerant correction-ready encoding of the [[7,1,3]] Steane code on a 2D grid
- Authors: Andrea Rodriguez-Blanco, Ho Nam Nguyen, K. Birgitta Whaley,
- Abstract summary: We investigate various correction-ready encoding methods to fault-tolerantly prepare the zero-logical state of the Steane code on a 2D grid.<n>We show that parity-check encoding with a few Flag-Bridge qubits outperforms verification-based encoding by achieving lower error rates.<n>Surprisingly, compared to the resource-intensive Steane error correction, this low-overhead method still offers a practical advantage in noisy settings.
- Score: 0.0
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Practical quantum computation heavily relies on the ability to perform quantum error correction in a fault-tolerant manner. Fault-tolerant encoding is a critical first step, and careful consideration of the error correction cycle that follows is essential for ensuring the encoding's effectiveness and compatibility. In this work, we investigate various correction-ready encoding methods to fault-tolerantly prepare the zero-logical state of the [[7,1,3]] Steane code on a 2D grid. Through numerical simulations, we demonstrate that parity-check encoding with a few Flag-Bridge qubits outperforms verification-based encoding by achieving lower error rates and allowing flexible tuning of the performance-efficiency trade-off. Additionally, parity-check approach enables a compact hybrid protocol that combines encoding and error correction, capable of matching the performance of a standalone error correction protocol with perfect encoding. Surprisingly, compared to the resource-intensive Steane error correction, this low-overhead method still offers a practical advantage in noisy settings. These findings highlight the approach with Flag-Bridge qubits as a robust and adaptable solution for noisy near-term quantum hardware.
Related papers
- Efficient Transformer-based Decoder for Varshamov-Tenengolts Codes [1.53119329713143]
Varshamov-Tenengolts (VT) codes, primarily designed for single-error correction, have emerged as a central research focus.<n>While existing decoding methods achieve high accuracy in correcting a single error, they often fail to correct multiple IDS errors.<n>In this work, we observe that VT codes retain some capability for addressing multiple errors by introducing a transformer-based VT decoder.
arXiv Detail & Related papers (2025-02-28T13:59:14Z) - Threshold Selection for Iterative Decoding of $(v,w)$-regular Binary Codes [84.0257274213152]
Iterative bit flipping decoders are an efficient choice for sparse $(v,w)$-regular codes.<n>We propose concrete criteria for threshold determination, backed by a closed form model.
arXiv Detail & Related papers (2025-01-23T17:38:22Z) - Breadth-first graph traversal union-find decoder [0.0]
We develop variants of the union-find decoder that simplify its implementation and provide potential decoding speed advantages.
We show how these methods can be adapted to decode non-topological quantum low-density-parity-check codes.
arXiv Detail & Related papers (2024-07-22T18:54:45Z) - Learning Linear Block Error Correction Codes [62.25533750469467]
We propose for the first time a unified encoder-decoder training of binary linear block codes.
We also propose a novel Transformer model in which the self-attention masking is performed in a differentiable fashion for the efficient backpropagation of the code gradient.
arXiv Detail & Related papers (2024-05-07T06:47:12Z) - Testing the Accuracy of Surface Code Decoders [55.616364225463066]
Large-scale, fault-tolerant quantum computations will be enabled by quantum error-correcting codes (QECC)
This work presents the first systematic technique to test the accuracy and effectiveness of different QECC decoding schemes.
arXiv Detail & Related papers (2023-11-21T10:22:08Z) - The END: An Equivariant Neural Decoder for Quantum Error Correction [73.4384623973809]
We introduce a data efficient neural decoder that exploits the symmetries of the problem.
We propose a novel equivariant architecture that achieves state of the art accuracy compared to previous neural decoders.
arXiv Detail & Related papers (2023-04-14T19:46:39Z) - Deep Quantum Error Correction [73.54643419792453]
Quantum error correction codes (QECC) are a key component for realizing the potential of quantum computing.
In this work, we efficiently train novel emphend-to-end deep quantum error decoders.
The proposed method demonstrates the power of neural decoders for QECC by achieving state-of-the-art accuracy.
arXiv Detail & Related papers (2023-01-27T08:16:26Z) - Denoising Diffusion Error Correction Codes [92.10654749898927]
Recently, neural decoders have demonstrated their advantage over classical decoding techniques.
Recent state-of-the-art neural decoders suffer from high complexity and lack the important iterative scheme characteristic of many legacy decoders.
We propose to employ denoising diffusion models for the soft decoding of linear codes at arbitrary block lengths.
arXiv Detail & Related papers (2022-09-16T11:00:50Z) - A Practical and Scalable Decoder for Topological Quantum Error
Correction with Digital Annealer [0.5658123802733283]
We propose an efficient and scalable decoder for quantum error correction using Fujitsu Digital Annealer (DA)
In particular, we implement the proposed DA decoder for the surface code and perform detailed numerical experiments for various code to see its performance and scalability.
It is also shown that the DA decoder has advantages over the Union-Find (UF) decoder from a variety of perspectives including hardware implementation.
arXiv Detail & Related papers (2022-03-29T07:48:51Z) - Graph-Theoretic Approach to Quantum Error Correction [0.0]
We investigate a novel class of quantum error correcting codes to correct errors on both qubits and higher-state quantum systems represented as qudits.
These codes arise from an original graph-theoretic representation of sets of quantum errors.
We present two instances of optimal encodings: an optimal encoding for fully correlated noise which achieves a higher encoding rate than previously known, and a minimal encoding for single qudits.
arXiv Detail & Related papers (2021-10-16T00:04:24Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.