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This study explores Quantum Convolutional Coding with entanglement assistance for advanced communication technologies. By integrating classical convolutional coding techniques with quantum principles, high-performance quantum codes can be achieved. The research delves into the advantages and applications of Entanglement-Assisted Quantum Convolutional Coding (EAQCC) in cellular and deep space communication systems. The use of entanglement for encoding qubits and the concept of Block Entanglement Distillation are discussed, highlighting the benefits of this innovative approach. The study aims to bridge classical and quantum coding theories to enhance communication reliability and efficiency, emphasizing the potential for application in quantum key distribution systems. There are opportunities for further exploration and development in this evolving field of quantum communication technology.
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Quantum Convolutional Coding with Entanglement Assistance Communication Sciences Institute, Ming Hsieh Department of Electrical Engineering, University of Southern California, Los Angeles, California 90089 Mark M. Wilde QEC07, Los Angeles, California (December 2007)
Summary arXiv:0712.2223 arXiv:0708.3699 with Todd Brun with Hari Krovi and Todd Brun
Convolutional Coding techniques have application in cellular and deep space communication ViterbiAlgorithmis most popular technique for determining errors Classical Convolutional Coding
FIR Encoding Circuits Finite-durationinput streams producefinite-durationoutput streams
IIR Encoding Circuits Finite-durationinput streams can produceinfinite-durationoutput streams
Quantum Block Code Perform measurements that learn only about errors Encode qubits with ancillas
Entanglement-Assisted Quantum Block Code Brun, Devetak, Hsieh, Science 314, 436-439 (2006).
Quantum Convolutional Coding Ollivier, Tillich, PRL 91, 177902 (2003). Forney, Grassl, Guha, IEEE Trans. Inf. Theory 53, 865-880 (2007). Grassl, Rötteler, In proceedings of ISIT (2005,2006,2007).
Entanglement-Assisted Quantum Convolutional Coding Wilde and Brun, arXiv:0712.2223 (2007).
Infinite-Depth Operations Implements [ 1+D-1 | 1/(1+D) ] Implements [ 1+D-1+D-3 | 1/(1+D+D3) ]
Classes of EAQCCs 1) Finite-depth encoding and decoding circuits 2) Finite-depth and infinite-depth encoding circuit Finite-depth decoding circuit 3) Finite-depth and infinite-depth encoding circuit Finite-depth and infinite-depth decoding circuit (infinite-depth operations only on Bob’s half of the ebits)
Advantages of EAQCC Produce an EAQCC from two arbitrary classical binary convolutional codes: The rate and error-correcting properties of the classical codes translate to the EAQCC.(high-performance classical codes => high-performance quantum codes)
Convolutional Entanglement Distillation Wilde, Krovi, Brun, arXiv:0708.3699 (2007).
Conclusion • Entanglement-assisted convolutional coding exploits entanglement to encode a stream of qubits • Importing classical convolutional coding theory should produce high-performance quantum codes • Explore the connection to quantum key distribution in more detail There is still much to explore in these areas (QEC07@USC)