Decoding across transversal Clifford gates in the surface code
- URL: http://arxiv.org/abs/2505.13599v1
- Date: Mon, 19 May 2025 18:00:02 GMT
- Title: Decoding across transversal Clifford gates in the surface code
- Authors: Marc Serra-Peralta, Mackenzie H. Shaw, Barbara M. Terhal,
- Abstract summary: We show how one can decode across an arbitrary sequence of window gates for the unrotated surface code.<n>Our work highlights the complexity and interest in efficient decoding of fast logic for the surface code.
- Score: 0.7100520098029438
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: Transversal logical gates offer the opportunity for fast and low-noise logic, particularly when interspersed by a single round of parity check measurements of the underlying code. Using such circuits for the surface code requires decoding across logical gates, complicating the decoding task. We show how one can decode across an arbitrary sequence of transversal gates for the unrotated surface code, using a fast "logical observable" minimum-weight-perfect-matching (MWPM) based decoder, and benchmark its performance in Clifford circuits under circuit-level noise. We propose windowed logical observable matching decoders to address the problem of fully efficient decoding: our basic windowed decoder is computationally efficient under the restriction of quiescent (slow) resets. Our two-step windowed decoder can be computationally inefficient but allows fast resets. For both windowed decoders we identify errors which scale sublinearly in $d$ - depending on the structure of the circuit - which can lead to logical failure, and we propose methods to adapt the decoding to remove such failures. Our work highlights the complexity and interest in efficient decoding of fast logic for the surface code.
Related papers
- Scalable decoding protocols for fast transversal logic in the surface code [2.5631808142941415]
We introduce two new, windowed decoding protocols for coherence logic in the surface code.<n>We show that, with a very small space overhead, our scalable decoders unlock an order of magnitude speed-up for connectivity logic.
arXiv Detail & Related papers (2025-05-29T15:41:11Z) - Fast correlated decoding of transversal logical algorithms [67.01652927671279]
Quantum error correction (QEC) is required for large-scale computation, but incurs a significant resource overhead.<n>Recent advances have shown that by jointly decoding logical qubits in algorithms composed of logical gates, the number of syndrome extraction rounds can be reduced.<n>Here, we reform the problem of decoding circuits by directly decoding relevant logical operator products as they propagate through the circuit.
arXiv Detail & Related papers (2025-05-19T18:00:00Z) - Optimal Decoder for the Error Correcting Parity Code [0.0]
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.
arXiv Detail & Related papers (2025-05-08T13:03:22Z) - 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) - Scalable Constant-Time Logical Gates for Large-Scale Quantum Computation Using Window-Based Correlated Decoding [11.657137510701165]
A crucial challenge of fault-tolerant quantum computing is reducing the overhead of implementing logical gates.<n>We propose an architecture that employs delayed fixup circuits and window-based correlated decoding.<n>This design significantly reduces both the frequency and duration of decoding, while maintaining support for constant-time and universal logical gates.
arXiv Detail & Related papers (2024-10-22T12:44:41Z) - Efficient soft-output decoders for the surface code [0.0]
We construct efficient soft-output decoders for the surface code derived from the Minimum-Weight Perfect Matching and Union-Find decoders.
We show that soft-output decoding can improve the performance of a "hierarchical code"
arXiv Detail & Related papers (2024-05-13T02:22:28Z) - 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) - Efficient Encoder-Decoder Transformer Decoding for Decomposable Tasks [53.550782959908524]
We introduce a new configuration for encoder-decoder models that improves efficiency on structured output and decomposable tasks.
Our method, prompt-in-decoder (PiD), encodes the input once and decodes the output in parallel, boosting both training and inference efficiency.
arXiv Detail & Related papers (2024-03-19T19:27:23Z) - 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) - Modular decoding: parallelizable real-time decoding for quantum
computers [55.41644538483948]
Real-time quantum computation will require decoding algorithms capable of extracting logical outcomes from a stream of data generated by noisy quantum hardware.
We propose modular decoding, an approach capable of addressing this challenge with minimal additional communication and without sacrificing decoding accuracy.
We introduce the edge-vertex decomposition, a concrete instance of modular decoding for lattice-surgery style fault-tolerant blocks.
arXiv Detail & Related papers (2023-03-08T19:26:10Z) - 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) - Low-overhead pieceable fault-tolerant construction of logical
controlled-phase circuit for degenerate quantum code [11.106110829349221]
We search for a non-transversal but fault-tolerant construction of a logical controlled-phase gate for quantum code.
We find a 3-piece fault-tolerant logical CZ circuit on this code.
arXiv Detail & Related papers (2021-05-15T04:06:12Z)
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.