Cutting through the noise: AI enables high-fidelity quantum computing

SANKEN researchers achieved over 95% accuracy when reading the output spin states of qubits by implementing machine learning. By using deep neural networks, the team was able to overcome noise in both simulated and real data sets from quantum dots. This work may lead to a proliferation of real-world quantum computers.

Read More

Quantum Computers News — ScienceDaily

Previous Article

Zurich Instruments Webinar: Quantum material characterization for streamlined Qubit development

Next Article

IDQ unveils Cerberis XGR QKD Platform

You might be interested in …

Leave a Reply

Your email address will not be published. Required fields are marked *

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

The reCAPTCHA verification period has expired. Please reload the page.