In this paper a quantum based binary neural network algorithm is proposed, named as Advance Quantum based Binary Neural Network Learning Algorithm (AQ-BNN).

Abstract—In this paper a quantum based binary neural net- work algorithm is proposed, named as Advance Quantum based. Binary Neural Network Learning ...

This paper improves QDPSO and applies the algorithm in BP neural network training combining with tris-classification problem. Results are represented, comparing ...

In this paper a quantum based binary neural network algorithm is proposed, named as Advance Quantum based Binary Neural Network Learning Algorithm (AQ-BNN).

The HHL algorithm outlines a use for quantum circuits outside of quantum applications. One such application is in machine learning, as many networks use linear ...

Oct 23, 2022 · The HHL quantum algorithm [4, 5] was proposed as a potential solution linear systems of equations. However, plainly using HHL to solve the ...

Dec 6, 2022 · This paper proposes a binary quantum neural network classifical model based on an optimized Grover algorithm based on partial diffusion.

Missing: Advance algorithm.

The proposed algorithm uses the concept of quantum computing and genetic concept to evolve connection weights and the threshold of neurons. Quantum computing ...

Dec 2, 2023 · The network is optimized using algorithms like Stochastic Gradient Descent and backpropagation, with binary cross-entropy as the loss function, ...