From the 1 of 7 linked papers with an AI index.
7 papers
PQFA: Parallel Quantum Feature Augmentation of Fused Representations for Multimodal Classification
Mingzhu Wang, Yun Shang
The paper proposes a hybrid quantum‑classical framework called Parallel Quantum Feature Augmentation (PQFA) that applies multiple shallow variational quantum circuits to fused text…
Hybrid Vision Transformer and Quantum Convolutional Neural Network for Image Classification
Mingzhu Wang, Yun Shang
Quantum machine learning (QML) holds promise for computational advantage, yet progress on real-world tasks is hindered by classical preprocessing and noisy devices. We introduce Vi…
A hybrid quantum walk model unifying discrete and continuous quantum walks
Tianen Chen, Yun Shang
Quantum walks, both discrete and continuous, serve as fundamental tools in quantum information processing with diverse applications. This work introduces a hybrid quantum walk mode…
Distributed Quantum Neural Networks on Distributed Photonic Quantum Computing
Kuan-Cheng Chen, Chen-Yu Liu, Yu Shang +2
We introduce a distributed quantum-classical framework that synergizes photonic quantum neural networks (QNNs) with matrix-product-state (MPS) mapping to achieve parameter-efficien…
A quantum speedup algorithm for TSP based on quantum dynamic programming with very few qubits
Bai Xujun, Shang Yun
The Traveling Salesman Problem (TSP) is a classical NP-hard problem that plays a crucial role in combinatorial optimization. In this paper, we are interested in the quantum search…
Approximation Theory and Applications of Randomized Neural Networks for Solving High-Dimensional PDEs
T. De Ryck, S. Mishra, Y. Shang +1
We present approximation results and numerical experiments for the use of randomized neural networks within physics-informed extreme learning machines to efficiently solve high-dim…