Information-efficient decoding of surface codes
- URL: http://arxiv.org/abs/2512.14255v1
- Date: Tue, 16 Dec 2025 10:05:27 GMT
- Title: Information-efficient decoding of surface codes
- Authors: Long D. H. My, Shao-Hen Chiew, Jing Hao Chai, Hui Khoon Ng,
- Abstract summary: Surface codes are a popular error-correction route to fault-tolerant quantum computation.<n>The exponential backlog problem can arise when one has to do logical $T$-gates within the surface code.<n>We present two decoders that make use of a reduced syndrome information volume.
- Score: 0.0
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: Surface codes are a popular error-correction route to fault-tolerant quantum computation. The so-called exponential backlog problem that can arise when one has to do logical $T$-gates within the surface code demands real-time decoding of the syndrome information to diagnose the appropriate Pauli frame in which to do the gate. This in turn puts a minimum requirement on the communication rate between the quantum processing unit, where the syndrome information is collected, and the classical processor, where the decoding algorithm is run. This minimum communication rate can be difficult to achieve while preserving the quality of the quantum processor. Here, we present two decoders that make use of a reduced syndrome information volume, relying on a number of syndrome bits that scale only as the width -- and not the usual area -- of the surface-code patch. This eases the communication requirements necessary for real-time decoding.
Related papers
- Simplified circuit-level decoding using Knill error correction [0.0]
Knill error correction is a technique that replaces repeated syndrome measurements with a single round of measurements.<n>We show analytically and numerically that the time-constrained decoding problem for Knill error correction can be solved using the same decoder used for the simpler code-capacity noise model.
arXiv Detail & Related papers (2026-03-05T16:00:24Z) - 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) - Local Clustering Decoder: a fast and adaptive hardware decoder for the surface code [0.0]
We introduce the Local Clustering Decoder as a solution that simultaneously achieves the accuracy and speed requirements of a real-time decoding system.
Our decoder is implemented on FPGAs and exploits hardware parallelism to keep pace with the fastest qubit types.
It enables one million error-free quantum operations with 4x fewer physical qubits when compared to standard non-adaptive decoding.
arXiv Detail & Related papers (2024-11-15T16:43:59Z) - A High-Performance List Decoding Algorithm for Surface Codes with Erroneous Syndrome [9.191400697168389]
We propose a high-performance list decoding algorithm for surface codes with erroneous syndromes.
We first use belief propagation (BP) decoding for pre-processing with syndrome soft information, followed by ordered statistics decoding (OSD) for post-processing to list and recover both qubits and syndromes.
arXiv Detail & Related papers (2024-09-11T03:12:18Z) - Low-Overhead Transversal Fault Tolerance for Universal Quantum Computation [36.3664581543528]
We show that logical operations can be performed fault-tolerantly with only a constant number of extraction rounds.<n>Our work sheds new light on the theory of quantum fault tolerance and has the potential to reduce the space-time cost of practical fault-tolerant quantum computation by over an order of magnitude.
arXiv Detail & Related papers (2024-06-25T15:43:25Z) - Decoding algorithms for surface codes [0.0]
Surface codes currently stand as the most promising candidates to build near term error corrected qubits.
A critical aspect of decoding algorithms is their speed, since the quantum state will suffer additional errors with the passage of time.
We describe the core principles of these decoding methods as well as existing variants that show promise for improved results.
arXiv Detail & Related papers (2023-07-27T16:34:52Z) - 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) - 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) - Fault-tolerant Coding for Entanglement-Assisted Communication [46.0607942851373]
This paper studies the study of fault-tolerant channel coding for quantum channels.
We use techniques from fault-tolerant quantum computing to establish coding theorems for sending classical and quantum information in this scenario.
We extend these methods to the case of entanglement-assisted communication, in particular proving that the fault-tolerant capacity approaches the usual capacity when the gate error approaches zero.
arXiv Detail & Related papers (2022-10-06T14:09:16Z) - 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) - Space-efficient binary optimization for variational computing [68.8204255655161]
We show that it is possible to greatly reduce the number of qubits needed for the Traveling Salesman Problem.
We also propose encoding schemes which smoothly interpolate between the qubit-efficient and the circuit depth-efficient models.
arXiv Detail & Related papers (2020-09-15T18:17:27Z) - Fault-tolerant Coding for Quantum Communication [71.206200318454]
encode and decode circuits to reliably send messages over many uses of a noisy channel.
For every quantum channel $T$ and every $eps>0$ there exists a threshold $p(epsilon,T)$ for the gate error probability below which rates larger than $C-epsilon$ are fault-tolerantly achievable.
Our results are relevant in communication over large distances, and also on-chip, where distant parts of a quantum computer might need to communicate under higher levels of noise.
arXiv Detail & Related papers (2020-09-15T15:10:50Z)
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.