Abstract: In this paper, we construct new quantum convolutional codes (QCCs) from classical self-orthogonal convolutional (CSOC) codes. We develop a methodology that achieves the required code ...
Convolutional codes represent a cornerstone in modern communications, offering a method for continuously encoding data streams to mitigate errors due to interference and noise. These codes operate by ...
What if you could eliminate the frustration of repetitive coding tasks while making sure your workflows run like clockwork? Imagine a tool that not only automates ...
What if you could cut your coding time in half without sacrificing quality—or better yet, improve it? Imagine an AI assistant that not only generates boilerplate code in seconds but also helps debug, ...
In this tutorial, we provide a practical guide for implementing LangGraph, a streamlined, graph-based AI orchestration framework, integrated seamlessly with Anthropic’s Claude API. Through detailed, ...
code.py Main program that runs on your CircuitPython board. Copy this file to the root directory of the CircuitPython board. mnist_clf.mpy Module that contains the converted model. Copy this to the ...
Binary Convolutional Codes (BCC) are a type of error-correcting code used in digital communication systems to mitigate the effects of noise and interference during transmission. This repository ...
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