Papers
Topics
Authors
Recent
Assistant
AI Research Assistant
Well-researched responses based on relevant abstracts and paper content.
Custom Instructions Pro
Preferences or requirements that you'd like Emergent Mind to consider when generating responses.
Gemini 2.5 Flash
Gemini 2.5 Flash 134 tok/s
Gemini 2.5 Pro 41 tok/s Pro
GPT-5 Medium 28 tok/s Pro
GPT-5 High 42 tok/s Pro
GPT-4o 92 tok/s Pro
Kimi K2 187 tok/s Pro
GPT OSS 120B 431 tok/s Pro
Claude Sonnet 4.5 37 tok/s Pro
2000 character limit reached

Fault-tolerant quantum computing with a high-rate symplectic double code (2509.15457v1)

Published 18 Sep 2025 in quant-ph

Abstract: High-rate and large-distance quantum codes are expected to make fault-tolerant quantum computing more efficient, but most of them lack efficient fault-tolerant encoded-state preparation methods. We propose such a fault-tolerant encoder for a [[30, 6, 5]] symplectic double code. The advantage of this code is its compactness, in addition to its high encoding rate, allowing for early experimental realization. Detecting crucial errors during encoding with as few auxiliary qubits as possible, our encoder can reduce resource overheads while keeping low logical error rates, compared to more naive methods. Numerical simulations with a circuit-level noise model demonstrate the reliability and effectiveness of the proposed method. We also develop an arbitrary-state encoder that enables the injection of arbitrary quantum states into the code space. Combined with basic fault-tolerant operations, this supports universal quantum computation. We thus demonstrate that efficient and reliable logical state preparation is achievable even for a compact and high-rate code, offering a potential step toward efficient fault-tolerant quantum computing suitable for near-term experiments.

Summary

We haven't generated a summary for this paper yet.

Dice Question Streamline Icon: https://streamlinehq.com

Open Problems

We haven't generated a list of open problems mentioned in this paper yet.

Lightbulb Streamline Icon: https://streamlinehq.com

Continue Learning

We haven't generated follow-up questions for this paper yet.

List To Do Tasks Checklist Streamline Icon: https://streamlinehq.com

Collections

Sign up for free to add this paper to one or more collections.