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

• URL: http://arxiv.org/abs/2309.00561v1
• Date: Fri, 1 Sep 2023 16:18:39 GMT
• Title: Exact Learning with Tunable Quantum Neural Networks and a Quantum Example Oracle
• Authors: Viet Pham Ngoc and Herbert Wiklicky
• Abstract summary: We study the tunable quantum neural network architecture in the quantum exact learning framework. We present an approach that uses amplitude amplification to correctly tune the network to the target concept.
• Score: 0.0
• License: http://creativecommons.org/licenses/by-nc-nd/4.0/
• 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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