Quantum Convolutional Coding for Distillation and Error Correction Mark M. Wilde Communication Sciences Institute, Ming Hsieh Department of Electrical.

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Presentation transcript:

Quantum Convolutional Coding for Distillation and Error Correction Mark M. Wilde Communication Sciences Institute, Ming Hsieh Department of Electrical Engineering, University of Southern California, Los Angeles, California Communication Sciences Institute, Ming Hsieh Department of Electrical Engineering, University of Southern California, Los Angeles, California 90089

Quantum Information and Noise Alice Environment Eve correlates with Alice ’s qubits and destroys the fragile nature of a quantum state Eve

Can We Correct Quantum Errors? Classical Error Correction copies classical information to protect it BUT No-Cloning Theorem prohibits general copying of quantum information. What to do? Classical codes learn about errors by measuring bits BUT Measuring a quantum state destroys its quantum information. What to do? Classical codes do not accumulate small errors over time because classical errors are discrete BUT Quantum errors are continuous and small errors may build up over time. What to do?

Shor’s Solution Measurement projects the encoded qubits and effectively digitizes the errors. Use extra ancilla qubits for redundancy Perform particular measurements that learn only about errors Shor, PRA 52, pp. R2493-R2496 (1995).

Shor Code Perform measurements that learn only about errors Encode qubits with ancillas

Our Novel forms of Quantum Error Correction Entanglement-assisted quantum error correction (Brun, Devetak, Hsieh) Convolutional entanglement distillation (Wilde, Krovi, Brun) Decoherence-free subspaces and subsystems (Lidar) Entanglement-assisted quantum convolutional coding (Wilde, Brun)

Entanglement-Assisted Quantum Error Correction Brun et al., Science 314, (2006).

Classical Convolutional Coding Convolutional Coding techniques have application in cellulardeep space communicationan d Viterbi Algorithm is most popular technique for determining errors

Quantum Convolutional Coding Forney et al., IEEE Trans. Inf. Theory 53, (2007).

Entanglement-Assisted Quantum Convolutional Coding Wilde and Brun, In preparation (2007).

EAQCC Example

Block Entanglement Distillation

Convolutional Entanglement Distillation Wilde et al., arXiv: (2007).

Conclusion Quantum computing and quantum communication are the future of computing and communication Quantum error correction is the way to make quantum computing and communication practical There is still much to explore in these areas