6 results for “topic:ionq”
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.
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)
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.