A JIT compiler for hybrid quantum programs in PennyLane

This project implement DRU classifier in a spin-electronic-qubit-two-level sistem.

A platform-agnostic quantum runtime framework

Quantum-Hybrid Convolutional Neural Network with data re-uploading

This repository contains all the theory resources and lab assignments done in the course CSE481 of BracU

A collection of Python samples demonstrating how to get started with IonQ using various quantum frameworks

Pennylane api client. Only typescript for now

A quantum anomaly detection approach using the Cirq and Pennylane libraries, designed to detect adversarial attacks on quantum circuits.

Some quantum experiments

Quantum image classification using quantum circuits and variational classifiers on a MNIST dataset.

learning quantum computing

Multi-Party Computation transforms data handling by decentralizing trust among multiple participants. This ensures that no single entity demands absolute trust. An advantage for companies in safeguarding data privacy: once data leaves the user's computer, it remains obscured from any single external entity.

Implementations of Quantum Algorithms

a tiny DSL for Qiskit

Adaptation of QuFI to the Pennylane API

Retrieving momenta from gaussian distribution in PennyLane

Repository contains implementations of Quantum Hadamard Product and Generalized Quantum Transpose Algorithms

A quantum reinforcement learning framework based on PyTorch and PennyLane.

This repo contains the online quantum codebooks walkthroughs

This is an exploration using synthetic data in CSV format to apply QML models for the sake of binary classification. You can find here three different approaches. Two with Qiskit (VQC and QK/SVC) and one with Pennylane (QVC).