classiq

Hybrid Quantum Neural Network for classification of the MNIST Dataset using Classiq

Quantum Machine Learning: Solving Linear Systems of Equations. Re-Implementation of Variational Ansatz for Solving Linear Systems from paper Bravo-Prieto et al.,Variational Quantum Linear Solver (2020)

A quantum-computing research and engineering lab: educational tutorials plus independent tools and original algorithmic/performance-engineering work.

Reproducible quantum workflows for coding agents, CI, and revision-aware teams.

Solutions to some of Classiq's coding competition challenge 2022

Implementation of the Variational Quantum Eigensolver (VQE) to calculate the ground state energy of the Hydrogen ($H_2$) molecule using the Classiq SDK. Completed for the M1 Numerical Project at Paris Physics Master.

Autonomous Quantum Circuit Synthesis & NIST FIPS 203/204 Post-Quantum Cryptography Engine with Top-Down AST Optimizer, Multi-Backend Transpilers, and Agentic Web UI

Honorable mention of Classiq "22 Hamiltonian Challenge

Here are my study notes for learning Classi Quantum

We built Entangleme to explore how quantum teleportation could work as a message transfer system. It uses Qiskit to simulate teleporting qubit states and connects it to a simple web interface—where one user sends a bit and the other receives it.