Quantum Neural Network (QNN), Variational Quantum Eigensolver (VQE)

Kotlin bindings for Edgerunner

QNN 1 Neural Network Regressor qiskit

Implementation of a Quantized Neural Network with low bitwidth of weights, activations and gradients.

A modular and extensible quantum machine learning framework supporting customizable models, encoders, kernels, and quantum providers for research and prototyping.

Comparative analysis of CNN and Hybrid Quantum Neural Network (QNN) architectures for electrical resistivity prediction using synthetically generated ERT data. Includes data generation, preprocessing, classical deep learning, quantum-enhanced modeling, and performance evaluation.

collection of hybrid quantum-classical machine learning applications

Notebooks for the Seminar in ETSIT (UPM) - Master of Science in Signal Theory and Communication (Track: SIGNAL PROCESSING AND MACHINE LEARNING FOR BIG DATA).

Image processing with advanced GANs and QNNs

Patched Qualcomm AI Stack SDK fixing critical memory corruption and shape inference bugs in model converter tools (QNN/SNPE).

💎 REAL-TIME MUSICAL STEM SEPARATION 💎 Legacy S24 Ultra Edition. Optimized for Snapdragon 8 Gen 3 (Cortex-X4). Discontinued due to device theft.

javascript literal object manipulation plug-in in code file | 代码文件中的js字面量对象操作插件

"Not So Hermitian" is a Team came together for quantum computing stuff. Members: Yusuf Aykut, Ömer Faruk Rüzgar, Ahmet Tezcek, Yiğit Angı ve Ibrahim Abushawish

Пост квантовая вычислительная сеть. Физика и математика.

Contains the source code for the paper: Exploring Channel Distinguishability in Local Neighborhoods of the Model Space in Quantum Neural Networks

QNN-based correlation for frictional pressure drop of non-azeotropic mixtures during cryogenic forced boiling.

A new approach of running LLM/LMs' inference/training on GPU/NPU backends through C++ implementation and compile for High-Performance and Easy-to-Use

An HW-SW codesign tool to develeop and deploy MIxed-Precision QNN on PULP-based SoC's.

This work explores whether the quanvolution neural network is explainable by proposing a novel mathematical approach for quantifying explainability

Automatic build onnxruntime+qnn with Java support. The package contains aar,headers and shared libraries.