Optimal Decoder for the Error Correcting Parity Code
- URL: http://arxiv.org/abs/2505.05210v1
- Date: Thu, 08 May 2025 13:03:22 GMT
- Title: Optimal Decoder for the Error Correcting Parity Code
- Authors: Konstantin Tiurev, Christophe Goeller, Leo Stenzel, Paul Schnabl, Anette Messinger, Michael Fellner, Wolfgang Lechner,
- Abstract summary: We present a two-step decoder for the parity code and evaluate its performance in code-capacity and faulty-measurement settings.<n>For noiseless measurements, we find that the decoding problem can be reduced to a series of repetition codes while yielding near-optimal decoding for intermediate code sizes.
- Score: 0.0
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: We present a two-step decoder for the parity code and evaluate its performance in code-capacity and faulty-measurement settings. For noiseless measurements, we find that the decoding problem can be reduced to a series of repetition codes while yielding near-optimal decoding for intermediate code sizes and achieving optimality in the limit of large codes. In the regime of unreliable measurements, the decoder demonstrates fault-tolerant thresholds above 5% at the cost of decoding a series of independent repetition codes in (1 + 1) dimensions. Such high thresholds, in conjunction with a practical decoder, efficient long-range logical gates, and suitability for planar implementation, position the parity architecture as a promising candidate for demonstrating quantum advantage on qubit platforms with strong noise bias.
Related papers
- Sequential decoding of the XYZ$^2$ hexagonal stabilizer code [0.0]
We study the XYZ$2$ code, defined on a honeycomb lattice, and use it to decode the syndrome information in two steps.<n>For depolarizing noise we find that the sequential matching decoder gives a threshold of 18.3%, close to optimal.<n>For phase-biased noise on data qubits, at a bias $eta = fracp_zp_x+p_y = 10$, we find that a belief-matching-based decoder reaches thresholds of 24.1%.
arXiv Detail & Related papers (2025-05-06T16:53:51Z) - 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) - Generalizing the matching decoder for the Chamon code [1.8416014644193066]
We implement a matching decoder for a three-dimensional, non-CSS, low-density parity check code known as the Chamon code.
We find that a generalized matching decoder that is augmented by a belief-propagation step prior to matching gives a threshold of 10.5% for depolarising noise.
arXiv Detail & Related papers (2024-11-05T19:00:12Z) - Factor Graph Optimization of Error-Correcting Codes for Belief Propagation Decoding [62.25533750469467]
Low-Density Parity-Check (LDPC) codes possess several advantages over other families of codes.
The proposed approach is shown to outperform the decoding performance of existing popular codes by orders of magnitude.
arXiv Detail & Related papers (2024-06-09T12:08:56Z) - 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) - Progressive-Proximity Bit-Flipping for Decoding Surface Codes [8.971989179518214]
Topological quantum codes, such as toric and surface codes, are excellent candidates for hardware implementation.
Existing decoders often fall short of meeting requirements such as having low computational complexity.
We propose a novel bit-flipping (BF) decoder tailored for toric and surface codes.
arXiv Detail & Related papers (2024-02-24T22:38:05Z) - 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) - Belief propagation as a partial decoder [0.0]
We present a new two-stage decoder that accelerates the decoding cycle and boosts accuracy.
In the first stage, a partial decoder based on belief propagation is used to correct errors that occurred with high probability.
In the second stage, a conventional decoder corrects any remaining errors.
arXiv Detail & Related papers (2023-06-29T17:44:20Z) - Improved decoding of circuit noise and fragile boundaries of tailored
surface codes [61.411482146110984]
We introduce decoders that are both fast and accurate, and can be used with a wide class of quantum error correction codes.
Our decoders, named belief-matching and belief-find, exploit all noise information and thereby unlock higher accuracy demonstrations of QEC.
We find that the decoders led to a much higher threshold and lower qubit overhead in the tailored surface code with respect to the standard, square surface code.
arXiv Detail & Related papers (2022-03-09T18:48:54Z) - Combining hard and soft decoders for hypergraph product codes [0.3326320568999944]
Hypergraph product codes are constant-rate quantum low-density parity-check (LDPC) codes equipped with a linear-time decoder called small-set-flip (SSF)
This decoder displays sub-optimal performance in practice and requires very large error correcting codes to be effective.
We present new hybrid decoders that combine the belief propagation (BP) algorithm with the SSF decoder.
arXiv Detail & Related papers (2020-04-23T14:48:05Z) - Cellular automaton decoders for topological quantum codes with noisy
measurements and beyond [68.8204255655161]
We propose an error correction procedure based on a cellular automaton, the sweep rule, which is applicable to a broad range of codes beyond topological quantum codes.
For simplicity, we focus on the three-dimensional (3D) toric code on the rhombic dodecahedral lattice with boundaries and prove that the resulting local decoder has a non-zero error threshold.
We find that this error correction procedure is remarkably robust against measurement errors and is also essentially insensitive to the details of the lattice and noise model.
arXiv Detail & Related papers (2020-04-15T18:00:01Z)
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.