Estimating Algorithmic Information Using Quantum Computing for Genomics Applications

Estimating Algorithmic Information Using Quantum Computing for Genomics Applications

Inferring algorithmic structure in data is essential for discovering causal generative models. In this research, we present a quantum computing framework using the circuit model, for estimating algorithmic information metrics. The canonical computation model of the Turing machine is restricted in ti...

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Bibliographic Details
Main Authors: Aritra Sarkar, Zaid Al-Ars, Koen Bertels
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Applied Sciences
Subjects:
algorithmic information theory
universal distribution
Kolmogorov complexity
quantum algorithms
quantum circuit model
quantum Turing machine
Online Access:https://www.mdpi.com/2076-3417/11/6/2696

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