vqc

Reproducible QML benchmark: VQC vs QSVM on binary tasks. Modular, cross-platform pipeline w/ artifact logging.

Scalable Quantum Neural Network builds and trains a large-scale QNN in a modular fashion. SQNN is evaluated with a binary classification task on the MNIST dataset.

This repository creates the codes from the PT_VQC and U-VQSVD algorithms for process tomography. Contains testing, CI, Docker, Data storage with Postgresql and Pandas for full article see New J. Phys. 26 073017

This project implements Quantum Reinforcement Learning (QRL) for Portfolio Optimization using Variational Quantum Circuits (VQCs) for Quantum Neural Networks (QNNs) in Python 3.12.6. We leverage quantum computation to enhance the performance and speed up reinforcement learning tasks in dynamic financial applications.

Shared core library for the Hopf / flux / quaternion / conduit ecosystem. Version: 0.3.1. Role: single source of truth for foundational math. Specialized experiments stay in consumer repos.

Framework di ricerca per la generazione di dati sintetici tabulari equi e interpretabili tramite Variational Quantum Circuits (VQC). Integra vincoli di fairness nel circuito, stima la purezza con qsalto (Bell sampling) e spiega il contributo causale delle porte quantistiche mediante Quantum Shapley Values (SVQX).

Photon Seed Asteroids — Trajectoid shells + VQC quaternion + oam_flux helical lattice for robust photonic data carriers

Premium Hopf fiber explorer (Three.js/WebGPU) — companion to flux-hopf-lib

Qute is a testing harness for Quantum simulation applied to threat informed anomaly detections.

Hybrid Quantum Neural Network Benchmarking

Implementing (and fiddling with) basic Quantum Computing ideas and Quantum ML

Persistent Identity Conduit v10.2 — RubikConeConduit + ShellCube radial differential + 216-cube RingConeChain

Visual and software-side POC that demonstrates the data-path ideas in VQC using a Home Theater Projection System. It also produces footage that can be used for presentations or further simulation validation.

open-source qutrit (d=3) variational quantum classifier for tabular data. Lossless 2³→3² binary-to-ternary compression, CSUM ring entanglement, and SHAP explainability. 72 parameters. Built with PennyLane + PyTorch.

Variational Quantum Rainbow Deep Q-Network for Optimizing Resource Allocation Problem

Quaternion Vortex Persistent Identity Conduit

A predictive algorithm to forecast the weather, chances of rain in particular, using a quantum approach.

A modular quantum computing library in Python featuring QAOA, Grover, HHL, and VQC — built on Qiskit, with future plans to become a QPU-agnostic, from-scratch quantum SDK.

Hybrid quantum-classical framework for credit card fraud detection using Random Forest, Variational Quantum Classifier (VQC), quantum encoding ablation, and probability-level RF-VQC fusion.