Numerical Implementation of Just-In-Time Decoding in Novel Lattice
Slices Through the Three-Dimensional Surface Code
- URL: http://arxiv.org/abs/2012.08536v3
- Date: Fri, 20 May 2022 02:18:02 GMT
- Title: Numerical Implementation of Just-In-Time Decoding in Novel Lattice
Slices Through the Three-Dimensional Surface Code
- Authors: T. R. Scruby, D. E. Browne, P. Webster, M. Vasmer
- Abstract summary: We develop and simulate an explicit recipe for a just-in-time decoding scheme in three 3D surface codes.
We find evidence for a threshold $p_c sim 0.1%$ in all three codes.
- Score: 0.0
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: We build on recent work by B. Brown (Sci. Adv. 6, eaay4929 (2020)) to develop
and simulate an explicit recipe for a just-in-time decoding scheme in three 3D
surface codes, which can be used to implement a transversal (non-Clifford)
$\overline{CCZ}$ between three 2D surface codes in time linear in the code
distance. We present a fully detailed set of bounded-height lattice slices
through the 3D codes which retain the code distance and measurement-error
detecting properties of the full 3D code and admit a dimension-jumping process
which expands from/collapses to 2D surface codes supported on the boundaries of
each slice. At each timestep of the procedure the slices agree on a common set
of overlapping qubits on which $CCZ$ should be applied. We use these slices to
simulate the performance of a simple JIT decoder against stochastic $X$ and
measurement errors and find evidence for a threshold $p_c \sim 0.1\%$ in all
three codes. We expect that this threshold could be improved by optimisation of
the decoder.
Related papers
- Almost Linear Decoder for Optimal Geometrically Local Quantum Codes [8.837439668920288]
We show how to achieve geometrically local codes that maximize both the dimension and the distance, as well as the energy barrier of the code.
This provides the first decoder for an optimal 3D geometrically local code.
arXiv Detail & Related papers (2024-11-05T09:15:06Z) - Let the Code LLM Edit Itself When You Edit the Code [50.46536185784169]
underlinetextbfPositional textbfIntegrity textbfEncoding (PIE)
PIE reduces computational overhead by over 85% compared to the standard full recomputation approach.
Results demonstrate that PIE reduces computational overhead by over 85% compared to the standard full recomputation approach.
arXiv Detail & Related papers (2024-07-03T14:34:03Z) - Oriented-grid Encoder for 3D Implicit Representations [10.02138130221506]
This paper is the first to exploit 3D characteristics in 3D geometric encoders explicitly.
Our method gets state-of-the-art results when compared to the prior techniques.
arXiv Detail & Related papers (2024-02-09T19:28:13Z) - Segment Any 3D Gaussians [85.93694310363325]
This paper presents SAGA, a highly efficient 3D promptable segmentation method based on 3D Gaussian Splatting (3D-GS)
Given 2D visual prompts as input, SAGA can segment the corresponding 3D target represented by 3D Gaussians within 4 ms.
We show that SAGA achieves real-time multi-granularity segmentation with quality comparable to state-of-the-art methods.
arXiv Detail & Related papers (2023-12-01T17:15:24Z) - Tensor Network Decoding Beyond 2D [2.048226951354646]
We introduce several techniques to generalize tensor network decoding to higher dimensions.
We numerically demonstrate that the decoding accuracy of our approach outperforms state-of-the-art decoders on the 3D surface code.
arXiv Detail & Related papers (2023-10-16T18:00:02Z) - NDC-Scene: Boost Monocular 3D Semantic Scene Completion in Normalized
Device Coordinates Space [77.6067460464962]
Monocular 3D Semantic Scene Completion (SSC) has garnered significant attention in recent years due to its potential to predict complex semantics and geometry shapes from a single image, requiring no 3D inputs.
We identify several critical issues in current state-of-the-art methods, including the Feature Ambiguity of projected 2D features in the ray to the 3D space, the Pose Ambiguity of the 3D convolution, and the Imbalance in the 3D convolution across different depth levels.
We devise a novel Normalized Device Coordinates scene completion network (NDC-Scene) that directly extends the 2
arXiv Detail & Related papers (2023-09-26T02:09:52Z) - Tailoring three-dimensional topological codes for biased noise [2.362412515574206]
topological stabilizer codes in two dimensions have been shown to exhibit high storage threshold error rates and improved biased Pauli noise.
We present Clifford deformations of various 3D topological codes, such that they exhibit a threshold error rate of $50%$ under infinitely biased Pauli noise.
arXiv Detail & Related papers (2022-11-03T19:40:57Z) - Learning Deep Implicit Functions for 3D Shapes with Dynamic Code Clouds [56.385495276042406]
Deep Implicit Function (DIF) has gained popularity as an efficient 3D shape representation.
We propose to learn DIF with Dynamic Code Cloud, named DCC-DIF.
Our method explicitly associates local codes with learnable position vectors, and the position vectors are continuous and can be dynamically optimized.
arXiv Detail & Related papers (2022-03-26T11:07:59Z) - Mesh Convolution with Continuous Filters for 3D Surface Parsing [101.25796935464648]
We propose a series of modular operations for effective geometric feature learning from 3D triangle meshes.
Our mesh convolutions exploit spherical harmonics as orthonormal bases to create continuous convolutional filters.
We further contribute a novel hierarchical neural network for perceptual parsing of 3D surfaces, named PicassoNet++.
arXiv Detail & Related papers (2021-12-03T09:16:49Z) - General tensor network decoding of 2D Pauli codes [0.0]
We propose a decoder that approximates maximally likelihood decoding for 2D stabiliser and subsystem codes subject to Pauli noise.
We numerically demonstrate the power of this decoder by studying four classes of codes under three noise models.
We show that the thresholds yielded by our decoder are state-of-the-art, and numerically consistent with optimal thresholds where available.
arXiv Detail & Related papers (2021-01-11T19:00:03Z) - The cost of universality: A comparative study of the overhead of state
distillation and code switching with color codes [63.62764375279861]
We compare two leading FT implementations of the T gate in 2D color codes under circuit noise.
We find a circuit noise threshold of 0.07(1)% for the T gate via code switching, almost an order of magnitude below that achievable by state distillation in the same setting.
arXiv Detail & Related papers (2021-01-06T19:00:01Z)
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.