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arXiv · 2208.10342

Efficient algorithms for quantum information bottleneck

Masahito Hayashi·Yuxiang Yang
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Abstract

The ability to extract relevant information is critical to learning. An ingenious approach as such is the information bottleneck, an optimisation problem whose solution corresponds to a faithful and memory-efficient representation of relevant information from a large system. The advent of the age of quantum computing calls for efficient methods that work on information regarding quantum systems. Here we address this by proposing a new and general algorithm for the quantum generalisation of information bottleneck. Our algorithm excels in the speed and the definiteness of convergence compared with prior results. It also works for a much broader range of problems, including the quantum extension of deterministic information bottleneck, an important variant of the original information bottleneck problem. Notably, we discover that a quantum system can achieve strictly better performance than a classical system of the same size regarding quantum information bottleneck, providing new vision on justifying the advantage of quantum machine learning.

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Masahito Hayashi, Yuxiang Yang. 2022-08-22. Efficient algorithms for quantum information bottleneck. https://doi.org/10.22331/q-2023-03-02-936

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