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2020-05-20 14:09 introduction: now may be the right time to start quantum computing.

Lei Feng AI Technology Review Note: at the WAVE SUMMIT 2020 Deep Learning developers Summit held by Baidu, Duan Runyao, director of the Quantum Computing Institute of Baidu Research Institute, released the first (the only and the second in the world) toolset to support quantum machine learning in China: Paddle Quantum.

To put it simply, Paddle Quantum is a machine learning library based on Baidu open source framework PaddlePaddle, which supports the construction and training of quantum neural networks, and provides an easy-to-use suite of quantum machine learning developers and cutting-edge quantum application tools such as quantum optimization and quantum chemistry. The research of related quantum algorithms can be done by using the internal computing framework of the paddle and then programmed with Python.

According to Dr. Duan Runyao, there are three characteristics of "measuring oars", which are:

Ease of use: provides concise neural network construction and rich quantum machine learning cases.

Versatility and expansibility: support common quantum circuit models and provide a number of optimization tools.

Feature toolset: provides cutting-edge quantum application toolsets such as quantum optimization and quantum chemistry, and self-developed multiple quantum machine learning applications.

The Quantum Machine Learning Development Kit of Quantum Propeller includes a set of quantum development tools, a quantum chemistry library, and a series of optimization tools. At the same time, in the Github open source of Quan Pao, we can also see a series of introductory tutorials covering classical quantum applications in many fields, such as quantum optimization, quantum chemistry, quantum machine learning and so on.

Here we would like to mention that Dr. Duan Runyao's "AI TIME Theory: is Quantum Computing far away from us?" which was held a few days ago, mentioned that quantum computing represents the future, so it is a direction worth getting started, but the introduction to this subject is very difficult. "it involves the knowledge of computational theory, superconducting physics and other fields, so it is necessary to understand quantum physics. However, we should not fall into the "trap" of studying physics, but should start with the specialty of computer students, consolidate the foundation of mathematics, master the formal methods, understand the four axioms of quantum mechanics, and know how to describe the four axioms with linear algebra. master the basic "language" and then try to solve some small problems, so as to gradually enter the 'door' of quantum computing, and then gradually supplement the knowledge of physics. Form a spiral ascending process. "

At this level, these tutorials are clearly the first step in getting started with quantum computing.

What does the open source of quantum machine learning platform have to do with us?

As physicist Richard Feynman said, "the natural world is not classical. If you want to simulate the natural world, you'd better use a quantum mechanism."

In the past few years, although machine learning methods represented by deep learning have had a far-reaching impact on many issues. However, in the long run, just as Newtonian classical mechanics can not accurately describe the natural world, if we want to simulate the natural world, the classical machine learning method will fail, and the quantum machine learning method will become inevitable. Today, many technology giants have laid out quantum computing one after another, from which we can see that in the next 10 to 20 years, quantum computing and quantum machine learning will become an important driving force for social development.

It may be the right time to start quantum computing.

Download Paddle Quantum and install

Or use requirements.txt to install dependency packages

Use openfermion to read the xyz description file (can only be installed and used under linux)

Openfermion is called in VQE to read the molecular xyz file and calculate, so you need to install openfermion and openfermionpyscf.

Running

Github link for measuring oars: https://github.com/PaddlePaddle/Quantum

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