PyTorch implementation of QKAN "Quantum-inspired Kolmogorov-Arnold Network" https://arxiv.org/abs/2509.14026

Covalent demonstration of the QVR algorithm using a cryptocurrency time series use case

💫Implement Quantum Inspired Neural Network（QINN，QICNN，etc.）

Registered Software. Official code of the published article "Automatic design of quantum feature maps". This quantum machine learning technique allows to auto-generate quantum-inspired classifiers by using multiobjetive genetic algorithms for tabular data.

A matrix product state Born machine for generative modeling based on https://doi.org/10.1103/PhysRevX.8.031012

This is a project of portfolio optimization using Quantum-inspired Tabu Search and Trend Ratio

Tensor-Network Machine Learning with Matrix Product States, trained via a surrogate (projective) loss instead of standard negative log-likelihood

This repository contains an implementation of Tensorized Physics Informed Neural Networks (TPINNs) for solving physics-based problem

Quantum Inspired Dynamic Trust Fusion Framework for Adaptive Audio Visual Emotion Estimation under low quality and missing modality conditions

TERA is a meta-stability framework for evaluating informational structures, drift, and decision, gates across time and contextual variation.

2024 MindSpore 第六届华为量子计算黑客松

Python development to solve the 0/1 Knapsack Problem using Quantum-Inspired Tabu Search.

Quantum Messenger

Research archive: AI, reasoning architectures, and quantitative finance.

A unpublished package of variant of Quantum-inspired Tabu Search

In this repository there is an implementation of the traveling salesman problem solver with tensor networks presented in https://arxiv.org/abs/2311.14344

🚀 Enable secure local messaging with Quantum-Messenger, designed to prevent data leaks and maintain confidentiality in enterprise communication.

Implementation and benchmarking of Quantum-Inspired Genetic Algorithms (QIGA) with research manuscript.

A quantum-inspired inference framework for LLMs that uses Tensor Networks and Fidelity-Guided Beam Search (FGBS) to improve logical coherence and reasoning reliability.

This quantum machine learning technique allows to auto-generate quantum-inspired classifiers by using multiobjetive genetic algorithms for grayscale images, optimizing both quantum circuits and dimensionality reduction method.