quantum-inspired-algorithm

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

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

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

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

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.

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

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A unpublished package of variant of Quantum-inspired Tabu Search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.

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.