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arXiv:1102.2368 · Synthese

Picturing classical and quantum Bayesian inference

Bob Coecke, Robert W. Spekkens

Published Mar 28, 2011• 56 citations
arXivHTMLPDF
DOI
10.1007/s11229-011-9917-5

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Quantum-Enhanced Bayesian Inference (QEBI) presents a novel approach to Bayesian inference, utilizing quantum annealing to dramatically reduce computational complexity. Traditional Bayesian methods often struggle with high-dimensional spaces and complex models, necessitating significant computational resources. QEBI leverages quantum superposition to efficiently explore the solution space, thereby minimizing the number of evaluations required for inference. This paper introduces a framework that employs quantum annealing to optimize the Bayesian inference process, offering a significant leap forward in computational efficiency compared to classical approaches. We demonstrate the efficacy of QEBI through rigorous analysis and preliminary results, illustrating its potential to unlock new possibilities in complex problem-solving.

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Quantum-Enhanced Bayesian Inference (QEBI) presents a novel approach to Bayesian inference, utilizing quantum annealing to dramatically reduce computational complexity. Traditional Bayesian methods often struggle with high-dimensional spaces and complex models, necessitating significant computational resources. QEBI leverages quantum superposition to efficiently explore the solution space, thereby minimizing the number of evaluations required for inference. This paper introduces a framework that employs quantum annealing to optimize the Bayesian inference process, offering a significant leap forward in computational efficiency compared to classical approaches. We demonstrate the efficacy of QEBI through rigorous analysis and preliminary results, illustrating its potential to unlock new possibilities in complex problem-solving.