Communicating through Probabilities: Does Quantum Theory Optimize the Transfer of Information?

A quantum measurement can be regarded as a communication channel, in which the parameters of the state are expressed only in the probabilities of the outcomes of the measurement. We begin this paper by considering, in a non-quantum-mechanical setting, the problem of communicating through probabiliti...

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Main Author: William K. Wootters
Format: Article
Language:English
Published: MDPI AG 2013-08-01
Series:Entropy
Subjects:
Online Access:http://www.mdpi.com/1099-4300/15/8/3130
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spelling doaj-0e0d9359a67046faa639817f97fb2b552020-11-24T22:37:40ZengMDPI AGEntropy1099-43002013-08-011583130314710.3390/e15083220Communicating through Probabilities: Does Quantum Theory Optimize the Transfer of Information?William K. WoottersA quantum measurement can be regarded as a communication channel, in which the parameters of the state are expressed only in the probabilities of the outcomes of the measurement. We begin this paper by considering, in a non-quantum-mechanical setting, the problem of communicating through probabilities. For example, a sender, Alice, wants to convey to a receiver, Bob, the value of a continuous variable, θ, but her only means of conveying this value is by sending Bob a coin in which the value of θ is encoded in the probability of heads. We ask what the optimal encoding is when Bob will be allowed to flip the coin only a finite number of times. As the number of tosses goes to infinity, we find that the optimal encoding is the same as what nature would do if we lived in a world governed by real-vector-space quantum theory. We then ask whether the problem might be modified, so that the optimal communication strategy would be consistent with standard, complex-vector-space quantum theory.http://www.mdpi.com/1099-4300/15/8/3130optimal communicationquantum foundationsreal probability amplitudes
collection DOAJ
language English
format Article
sources DOAJ
author William K. Wootters
spellingShingle William K. Wootters
Communicating through Probabilities: Does Quantum Theory Optimize the Transfer of Information?
Entropy
optimal communication
quantum foundations
real probability amplitudes
author_facet William K. Wootters
author_sort William K. Wootters
title Communicating through Probabilities: Does Quantum Theory Optimize the Transfer of Information?
title_short Communicating through Probabilities: Does Quantum Theory Optimize the Transfer of Information?
title_full Communicating through Probabilities: Does Quantum Theory Optimize the Transfer of Information?
title_fullStr Communicating through Probabilities: Does Quantum Theory Optimize the Transfer of Information?
title_full_unstemmed Communicating through Probabilities: Does Quantum Theory Optimize the Transfer of Information?
title_sort communicating through probabilities: does quantum theory optimize the transfer of information?
publisher MDPI AG
series Entropy
issn 1099-4300
publishDate 2013-08-01
description A quantum measurement can be regarded as a communication channel, in which the parameters of the state are expressed only in the probabilities of the outcomes of the measurement. We begin this paper by considering, in a non-quantum-mechanical setting, the problem of communicating through probabilities. For example, a sender, Alice, wants to convey to a receiver, Bob, the value of a continuous variable, θ, but her only means of conveying this value is by sending Bob a coin in which the value of θ is encoded in the probability of heads. We ask what the optimal encoding is when Bob will be allowed to flip the coin only a finite number of times. As the number of tosses goes to infinity, we find that the optimal encoding is the same as what nature would do if we lived in a world governed by real-vector-space quantum theory. We then ask whether the problem might be modified, so that the optimal communication strategy would be consistent with standard, complex-vector-space quantum theory.
topic optimal communication
quantum foundations
real probability amplitudes
url http://www.mdpi.com/1099-4300/15/8/3130
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