dorsal/arxiv
View SchemaQuantum Analogical Modeling: A General Quantum Computing Algorithm for Predicting Language Behavior
| Authors | Royal Skousen |
|---|---|
| Categories | |
| ArXiv ID | quant-ph/0510146 |
| URL | https://arxiv.org/abs/quant-ph/0510146 |
Abstract
This paper proposes a general quantum algorithm that can be applied to any classical computer program. Each computational step is written using reversible operators, but the operators remain classical in that the qubits take on values of only zero and one. This classical restriction on the quantum states allows the copying of qubits, a necessary requirement for doing general classical computation. Parallel processing of the quantum algorithm proceeds because of the superpositioning of qubits, the only aspect of the algorithm that is strictly quantum mechanical. Measurement of the system collapses the superposition, leaving only one state that can be observed. In most instances, the loss of information as a result of measurement would be unacceptable. But the linguistically motivated theory of Analogical Modeling (AM) proposes that the probabilistic nature of language behavior can be accurately modeled in terms of the simultaneous analysis of all possible contexts (referred to as supracontexts) providing one selects a single supracontext from those supracontexts that are homogeneous in behavior (namely, supracontexts that allow no increase in uncertainty). The amplitude for each homogeneous supracontext is proportional to its frequency of occurrence, with the result that the probability of selecting one particular supracontext to predict the behavior of the system is proportional to the square of its frequency.
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"abstract": "This paper proposes a general quantum algorithm that can be applied to any\nclassical computer program. Each computational step is written using reversible\noperators, but the operators remain classical in that the qubits take on values\nof only zero and one. This classical restriction on the quantum states allows\nthe copying of qubits, a necessary requirement for doing general classical\ncomputation. Parallel processing of the quantum algorithm proceeds because of\nthe superpositioning of qubits, the only aspect of the algorithm that is\nstrictly quantum mechanical. Measurement of the system collapses the\nsuperposition, leaving only one state that can be observed. In most instances,\nthe loss of information as a result of measurement would be unacceptable. But\nthe linguistically motivated theory of Analogical Modeling (AM) proposes that\nthe probabilistic nature of language behavior can be accurately modeled in\nterms of the simultaneous analysis of all possible contexts (referred to as\nsupracontexts) providing one selects a single supracontext from those\nsupracontexts that are homogeneous in behavior (namely, supracontexts that\nallow no increase in uncertainty). The amplitude for each homogeneous\nsupracontext is proportional to its frequency of occurrence, with the result\nthat the probability of selecting one particular supracontext to predict the\nbehavior of the system is proportional to the square of its frequency.",
"arxiv_id": "quant-ph/0510146",
"authors": [
"Royal Skousen"
],
"categories": [
"quant-ph"
],
"title": "Quantum Analogical Modeling: A General Quantum Computing Algorithm for Predicting Language Behavior",
"url": "https://arxiv.org/abs/quant-ph/0510146"
},
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