July 31, 2008 — The Viterbi Algorithm, the elegant 41-year-old logical tool for rapidly eliminating dead end possibilities in data reception, has a new application to go alongside its ubiquitous daily use in cell phone communications, bioinformatics, speech recognition and many other areas of information technology.
|Error coding qubits: Brun, left, and Wilde
In a recent set of papers two investigators from the University of Southern California school that bears the name of the algorithm's inventor say it can play a key role in quantum communication.
Mark Wilde, a graduate student in the USC Viterbi School of Engineering, collaborated with his faculty advisor Todd Brun on the work. The research is also his thesis, for which he will receive a PhD from the School's Ming Hsieh Department of Electrical Engineering in August.
Brun, an associate professor in the Hsieh Department, is also deputy director of the USC Center for Quantum Information Science & Technology.
The quantum communication applications Wilde and Brun explored are for an environment in which a sender "Alice" (the traditional sender name) is trying to send a quantum message to a receiver named (again by tradition) "Bob" using a stream of pairs of "entangled" photons.
"Such [entangled] photons," in the words of the recent New Scientist story, "obey the strange principles of quantum physics, whereby disturbing the state of one will instantly disturb the other, no matter how much distance there is in between them."
Use of such a system has been proposed for a variety of uses, including space based communication,
and progress is being made on the physical devices that might create entanged photons for messages. But noise is created in the transmission of quantum data, an issue the USC work addresses using the time-hallowed Viterbi algorithm.
In the system considered by Wilde and Brun, Alice encodes each quantum bit of the message with the help of an ebit, an entangled qubit. She sends her part of the encoded quantum message over a noisy quantum communication channel, a process that can introduce errors.
From his side, Bob receives what Alice sent and combines her transmitted qubits with his half of the ebits. He measures all of the qubits, processes the results of the measurements, performs recovery operations, and finally decodes them, receiving the message qubits Alice sent. At the conclusion of the process Bob will have the transmitted quantum information error-free.
The above description is a condensed and simplified paraphrase of what is in fact a much more complex process, a ballet in which Alice and Bob can exploit ancilla or helper qubits, gauge or noisy qubits, and ebits to transmit both quantum and classical information.
But the bottom line question coming out remains, how does Bob know that the dancers were following the music, that the message he now has was transmitted correctly?
The fact that the noisy quantum communication channel can be modeled as a sequential process of steps, each step of which changes the state of the system, offers an opening. The Viterbi algorithm is, precisely, a way of analyzing the products of such processes, called technically Markov processes.
In Wilde and Brun's analysis, Bob watches the step coming out of his measurement process, testing them against statistical probabilities, using standard Viterbi tools.
Cell phones use similar programming to correct for errors in the transmission of digital voice data.
The result: Bob can reliably spot errors, and knows which message qubits are bogus before he opens the message - crucial, because opening it destroys it; and if it is garbled, he has nothing.
Wilde plans to work on future extensions of these ideas with researchers at NEC Laboratories in Princeton, NJ, the Center for Quantum Technologies in Singapore, and the Quantum Institute at Los Alamos National Laboratory.
Alice would like to transmit a stream of quantum information to Bob. She shares entanglement in the form of ebits before quantum communication begins. Red qubits belong to Alice and blue qubits belong to Bob. She repeatedly performs a series of encoding operations and transmits her qubits as soon as they are encoded. The noisy quantum communication channel corrupts her transmitted qubits. Bob receives her qubits and combines them with his half of the ebits. He performs measurements and Viterbi processing of the measurement results to diagnose the channel errors and performs recovery operations based on the results of the Viterbi algorithm. He then performs a decoding circuit and finally possesses the qubits that Alice first sent.
M.M. Wilde and T.A. Brun, “Unified quantum convolutional coding,” in IEEE International Symposium on Information Theory (arXiv:0801.0821), July 2008.
M.M. Wilde, Quantum Coding with Entanglement,
Ph.D. Thesis, University of Southern California, arXiv:0806.4214, August 2008.
M.M. Wilde and T.A. Brun, Quantum convolutional coding with shared entanglement: general structure, submitted to IEEE Transactions on Information Theory (arxiv:0807.3803), 2007.
M.M. Wilde and T.A. Brun, Entanglement-Assisted Quantum Convolutional Coding, submitted to IEEE Transactions on Information Theory (arXiv:0712.2223), 2007.
M.M. Wilde, H. Krovi and T.A. Brun, Convolutional Entanglement Distillation, submitted to IEEE Transactions on Information Theory (arxiv:0708.3699), 2007.