Constructions and performance of hyperbolic and semi-hyperbolic Floquet
codes
- URL: http://arxiv.org/abs/2308.03750v1
- Date: Mon, 7 Aug 2023 17:54:45 GMT
- Title: Constructions and performance of hyperbolic and semi-hyperbolic Floquet
codes
- Authors: Oscar Higgott and Nikolas P. Breuckmann
- Abstract summary: We construct families of Floquet codes derived from colour code tilings of closed hyperbolic surfaces.
We also construct semi-hyperbolic Floquet codes, which have improved distance scaling.
- Score: 5.33024001730262
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: We construct families of Floquet codes derived from colour code tilings of
closed hyperbolic surfaces. These codes have weight-two check operators, a
finite encoding rate and can be decoded efficiently with minimum-weight perfect
matching. We also construct semi-hyperbolic Floquet codes, which have improved
distance scaling, and are obtained via a fine-graining procedure. Using a
circuit-based noise model that assumes direct two-qubit measurements, we show
that semi-hyperbolic Floquet codes can be $48\times$ more efficient than planar
honeycomb codes and therefore over $100\times$ more efficient than alternative
compilations of the surface code to two-qubit measurements, even at physical
error rates of $0.3\%$ to $1\%$. We further demonstrate that semi-hyperbolic
Floquet codes can have a teraquop footprint of only 32 physical qubits per
logical qubit at a noise strength of $0.1\%$. For standard circuit-level
depolarising noise at $p=0.1\%$, we find a $30\times$ improvement over planar
honeycomb codes and a $5.6\times$ improvement over surface codes. Finally, we
analyse small instances that are amenable to near-term experiments, including a
16-qubit Floquet code derived from the Bolza surface.
Related papers
- Tailoring Dynamical Codes for Biased Noise: The X$^3$Z$^3$ Floquet Code [0.0]
We propose the X$3$Z$3$ Floquet code, a type of dynamical code with improved performance under biased noise.
Our work establishes the X$3$Z$3$ code as a prime quantum error-correcting code candidate.
arXiv Detail & Related papers (2024-11-07T18:49:16Z) - Quantum error correction below the surface code threshold [107.92016014248976]
Quantum error correction provides a path to reach practical quantum computing by combining multiple physical qubits into a logical qubit.
We present two surface code memories operating below a critical threshold: a distance-7 code and a distance-5 code integrated with a real-time decoder.
Our results present device performance that, if scaled, could realize the operational requirements of large scale fault-tolerant quantum algorithms.
arXiv Detail & Related papers (2024-08-24T23:08:50Z) - Far from Perfect: Quantum Error Correction with (Hyperinvariant) Evenbly Codes [38.729065908701585]
We introduce a new class of qubit codes that we call Evenbly codes.
Our work indicates that Evenbly codes may show promise for practical quantum computing applications.
arXiv Detail & Related papers (2024-07-16T17:18:13Z) - SSIP: automated surgery with quantum LDPC codes [55.2480439325792]
We present Safe Surgery by Identifying Pushouts (SSIP), an open-source lightweight Python package for automating surgery between qubit CSS codes.
Under the hood, it performs linear algebra over $mathbbF$ governed by universal constructions in the category of chain complexes.
We show that various logical measurements can be performed cheaply by surgery without sacrificing the high code distance.
arXiv Detail & Related papers (2024-07-12T16:50:01Z) - Fault-tolerant hyperbolic Floquet quantum error correcting codes [0.0]
We introduce a family of dynamically generated quantum error correcting codes that we call "hyperbolic Floquet codes"
One of our hyperbolic Floquet codes uses 400 physical qubits to encode 52 logical qubits with a code distance of 8, i.e., it is a $[[400,52,8]]$ code.
At small error rates, comparable logical error suppression to this code requires 5x as many physical qubits (1924) when using the honeycomb Floquet code with the same noise model and decoder.
arXiv Detail & Related papers (2023-09-18T18:00:02Z) - Discovery of Optimal Quantum Error Correcting Codes via Reinforcement
Learning [0.0]
The recently introduced Quantum Lego framework provides a powerful method for generating complex quantum error correcting codes.
We gamify this process and unlock a new avenue for code design and discovery using reinforcement learning (RL)
We train on two such properties, maximizing the code distance, and minimizing the probability of logical error under biased Pauli noise.
arXiv Detail & Related papers (2023-05-10T18:00:03Z) - Scalable Quantum Error Correction for Surface Codes using FPGA [67.74017895815125]
A fault-tolerant quantum computer must decode and correct errors faster than they appear.
We report a distributed version of the Union-Find decoder that exploits parallel computing resources for further speedup.
The implementation employs a scalable architecture called Helios that organizes parallel computing resources into a hybrid tree-grid structure.
arXiv Detail & Related papers (2023-01-20T04:23:00Z) - Quantum computation on a 19-qubit wide 2d nearest neighbour qubit array [59.24209911146749]
This paper explores the relationship between the width of a qubit lattice constrained in one dimension and physical thresholds.
We engineer an error bias at the lowest level of encoding using the surface code.
We then address this bias at a higher level of encoding using a lattice-surgery surface code bus.
arXiv Detail & Related papers (2022-12-03T06:16:07Z) - Suppressing quantum errors by scaling a surface code logical qubit [147.2624260358795]
We report the measurement of logical qubit performance scaling across multiple code sizes.
Our system of superconducting qubits has sufficient performance to overcome the additional errors from increasing qubit number.
Results mark the first experimental demonstration where quantum error correction begins to improve performance with increasing qubit number.
arXiv Detail & Related papers (2022-07-13T18:00:02Z) - Low overhead fault-tolerant quantum error correction with the
surface-GKP code [60.44022726730614]
We propose a highly effective use of the surface-GKP code, i.e., the surface code consisting of bosonic GKP qubits instead of bare two-dimensional qubits.
We show that a low logical failure rate $p_L 10-7$ can be achieved with moderate hardware requirements.
arXiv Detail & Related papers (2021-03-11T23:07:52Z) - A Numerical Study of Bravyi-Bacon-Shor and Subsystem Hypergraph Product
Codes [0.0]
We show that hypergraph product codes can be obtained by entangling the gauge qubits of two SHP codes.
For circuit noise, a BBS code and a SHP code have pseuds of $2times10-3$ and $8times10-4$, respectively.
arXiv Detail & Related papers (2020-02-14T21:40:44Z)
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.