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Trapped Ion Quantum Computing Quantum Machine Learning

Quantum Reasoning using Lie Algebra for Everyday Life (and AI perhaps...)

arXiv
Authors: Steven Gratton

Year

2018

Paper ID

23544

Status

Preprint

Abstract Read

~2 min

Abstract Words

121

Citations

N/A

Abstract

We investigate the applicability of the formalism of quantum mechanics to everyday life. It seems to be directly relevant for situations in which the very act of coming to a conclusion or decision on one issue affects one's confidence about conclusions or decisions on another issue. Lie algebra theory is argued to be a very useful tool in guiding the construction of quantum descriptions of such situations. Tests, extensions and speculative applications and implications, including for the encoding of thoughts in neural networks, are discussed. It is suggested that the recognition and incorporation of such mathematical structure into machine learning and artificial intelligence might lead to significant efficiency and generality gains in addition to ensuring probabilistic reasoning at a fundamental level.

Why This Paper Matters

  • This paper contributes to the Quantum Machine Learning research area in the Quantum Articles archive.
  • It adds a 2018 reference point for readers tracking recent quantum research.
  • We investigate the applicability of the formalism of quantum mechanics to everyday life.

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