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Quantum Machine Learning

Quibbs, a Code Generator for Quantum Gibbs Sampling

arXiv

Authors: Robert R. Tucci

Year

2010

Paper ID

8976

Status

Preprint

Abstract Read

~2 min

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N/A

Abstract

This paper introduces Quibbs v1.3, a Java application available for free. (Source code included in the distribution.) Quibbs is a "code generator" for quantum Gibbs sampling: after the user inputs some files that specify a classical Bayesian network, Quibbs outputs a quantum circuit for performing Gibbs sampling of that Bayesian network on a quantum computer. Quibbs implements an algorithm described in earlier papers, that combines various apple pie techniques such as: an adaptive fixed-point version of Grover's algorithm, Szegedy operators, quantum phase estimation and quantum multiplexors.

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This paper contributes to the Quantum Machine Learning research area in the Quantum Articles archive.
It adds a 2010 reference point for readers tracking recent quantum research.
This paper introduces Quibbs v1.3, a Java application available for free.

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References & Citation Signals

[1] DOI https://doi.org/arXiv:1004.2205 [2] arXiv https://arxiv.org/abs/1004.2205 [3] Publisher https://arxiv.org/abs/1004.2205

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