Software stack for quantum networking, including photonic entanglement broadcasting, AI agents, validators, and protocols.
-
Updated
Jan 23, 2026 - Python
Software stack for quantum networking, including photonic entanglement broadcasting, AI agents, validators, and protocols.
In this work, we use LR-QAOA protocol as an easy-to-implement scalable benchmarking methodology that assesses quantum processing units (QPUs) at different widths (number of qubits) and 2-qubit gate depths.
MIT-iQuHACK-2025-IonQ-Team7 by Mauro Risonho de Paula Assumpção
⚛ Quantum Computing, for Humans.
QuForce Project to implement asymmetric cloning to eavesdrop on the BB84 protocol.
Hardware-Aware Variational Quantum Algorithms under Noise (VQE / QAOA Benchmarking Across IBM & IonQ)
Qiskit provider for IonQ backends
Continuation of QuForce Innovation Fellows Project to implement asymmetric cloning to eavesdrop on the BB84 protocol.
This project aims to implement Quantum Support Vector Machines (QSVM) on actual quantum devices and simulators using the Qiskit library in conjunction with Amazon Braket (AWS). The core objective is to evaluate and compare the performance efficiency of QSVM implementations across various quantum hardware and simulation environments.
Add a description, image, and links to the ionq topic page so that developers can more easily learn about it.
To associate your repository with the ionq topic, visit your repo's landing page and select "manage topics."