Code-based cryptography employs error-correcting codes as the basis for secure public-key schemes, leveraging the intrinsic difficulty of decoding a random linear ...
For reliable implementation of quantum algorithms, fault-tolerant (FT) [1,2] quantum error correction techniques are essential. Fault tolerance can be implemented by ...
Abstract: Large language models (LLMs) play a crucial role in intelligent code generation tasks. Most existing work focuses on pretraining or fine-tuning specialized code LLMs, e.g., CodeLlama.
In recent research, a team of researchers has introduced SynCode, a versatile and efficient approach for generating syntactically accurate code across various programming languages. SynCode works with ...
The aim of this project was to develop an efficient algorithm for encoding and decoding Polar Codes, utilizing Successive Cancellation (SC) and Successive Cancellation List (SCL) decoding techniques.
This repository contains an educational, from-scratch surface-code decoder implementation. The goal is to build a small but readable quantum error correction workflow ...
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