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.

⚛ Quantum Computing, for Humans.

MIT-iQuHACK-2025-IonQ-Team7 by Mauro Risonho de Paula Assumpção

QuForce Project to implement asymmetric cloning to eavesdrop on the BB84 protocol.

Qiskit provider for IonQ backends

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.

Continuation of QuForce Innovation Fellows Project to implement asymmetric cloning to eavesdrop on the BB84 protocol.