Quantum neural networks with multi-qubit potentials

• URL: http://arxiv.org/abs/2105.02756v2
• Date: Mon, 5 Jun 2023 16:27:14 GMT
• Title: Quantum neural networks with multi-qubit potentials
• Authors: Yue Ban, E. Torrontegui and J. Casanova
• Abstract summary: We show that the presence of multi-qubit potentials in the quantum perceptrons enables more efficient information processing tasks. This simplification in the network architecture paves the way to address the connectivity challenge to scale up a quantum neural network.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: We propose quantum neural networks that include multi-qubit interactions in the neural potential leading to a reduction of the network depth without losing approximative power. We show that the presence of multi-qubit potentials in the quantum perceptrons enables more efficient information processing tasks such as XOR gate implementation and prime numbers search, while it also provides a depth reduction to construct distinct entangling quantum gates like CNOT, Toffoli, and Fredkin. This simplification in the network architecture paves the way to address the connectivity challenge to scale up a quantum neural network while facilitates its training.

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