Baidu Announces Cloud-Based Quantum Computing Platform

Baidu
Baidu
Baidu announced its Quantum Leaf project — a cloud-based quantum system.

China-based Baidu Inc. announced in a blog post that it has released a new cloud-based quantum computing platform called Quantum Leaf that is designed for programming, simulating and executing quantum workloads.

The company added the cloud-based QC platform is aimed at providing the quantum programming environment for Quantum infrastructure as a Service (QaaS).

In May, Baidu Quantum Computing Institute announced Paddle Quantum, a quantum machine learning development toolkit based on PaddlePaddle that can help scientists and developers quickly build and train quantum neural network models and provide advanced quantum computing applications.

A key component in the Quantum Leaf architecture is QCompute, a Python-based open-source SDK. It provides a full-stack programming experience for advanced users via the features of hybrid quantum programming language and a high-performance simulator. Users can use the already-built objects and modules of quantum programming environment, pass parameters to build and execute the quantum circuits on the local simulator or the cloud simulator/hardware.

QCompute provides services for creating and analyzing quantum circuits and calling quantum backend.

In addition to Paddle Quantum and Quantum Leaf, the company also reported it developed a cloud-based quantum pulse computing service named Quanlse, which aims to bridge the gap between quantum software and hardware. With Quanlse, Paddle Quantum, and Quantum Leaf, Baidu Quantum Platform moves further to its mission “Everyone Can Quantum.”

The original announcement came at the company’s user conference, Baidu World 2020.

The Future of Materials Discovery: Reducing R&D Costs significantly with GenMat’s AI and Machine Learning Tools

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Matt Swayne

With a several-decades long background in journalism and communications, Matt Swayne has worked as a science communicator for an R1 university for more than 12 years, specializing in translating high tech and deep tech for the general audience. He has served as a writer, editor and analyst at The Quantum Insider since its inception. In addition to his service as a science communicator, Matt also develops courses to improve the media and communications skills of scientists and has taught courses. [email protected]

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The Future of Materials Discovery: Reducing R&D Costs significantly with GenMat’s AI and Machine Learning Tools

When: July 13, 2023 at 11:30am

What: GenMat Webinar

Jake Vikoren

Jake Vikoren

Company Speaker

Deep Prasad

Deep Prasad

Company Speaker

Araceli Venegas

Araceli Venegas

Company Speaker

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