Unified Quantum Convolutional Coding
Mark M. Wilde, Todd A. Brun

TL;DR
This paper introduces a quantum convolutional coding framework that combines multiple quantum resources to protect classical and quantum data streams efficiently, approaching the theoretical channel capacity.
Contribution
It presents a novel quantum convolutional coding method utilizing ancilla, entanglement, and gauge qubits, with explicit encoding/decoding circuits for near-capacity data protection.
Findings
Codes approach the 'grandfather' capacity of quantum channels.
The method integrates active and passive error correction.
Explicit circuits demonstrate practical implementation.
Abstract
We outline a quantum convolutional coding technique for protecting a stream of classical bits and qubits. Our goal is to provide a framework for designing codes that approach the ``grandfather'' capacity of an entanglement-assisted quantum channel for sending classical and quantum information simultaneously. Our method incorporates several resources for quantum redundancy: fresh ancilla qubits, entangled bits, and gauge qubits. The use of these diverse resources gives our technique the benefits of both active and passive quantum error correction. We can encode a classical-quantum bit stream with periodic quantum gates because our codes possess a convolutional structure. We end with an example of a ``grandfather'' quantum convolutional code that protects one qubit and one classical bit per frame by encoding them with one fresh ancilla qubit, one entangled bit, and one gauge qubit per…
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