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arXiv · 2309.00561

Exact Learning with Tunable Quantum Neural Networks and a Quantum Example Oracle

Viet Pham Ngoc·Herbert Wiklicky
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Abstract

In this paper, we study the tunable quantum neural network architecture in the quantum exact learning framework with access to a uniform quantum example oracle. We present an approach that uses amplitude amplification to correctly tune the network to the target concept. We applied our approach to the class of positive $k$-juntas and found that $O(n^22^k)$ quantum examples are sufficient with experimental results seemingly showing that a tighter upper bound is possible.

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Viet Pham Ngoc, Herbert Wiklicky. 2023-09-01. Exact Learning with Tunable Quantum Neural Networks and a Quantum Example Oracle. https://arxiv.org/abs/2309.00561

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