We experience the benefits of classical computing every day. However, there are challenges that today's systems will never be able to solve. And a new kind of computing, quantum computing, is to stand a chance at solving some of these problems.

Quantum computing is the use of quantum-mechanical phenomena to perform computation. Quantum computers could spur the development of breakthroughs in science, medications, machine learning methods, materials, financial strategies and algorithms.

David Lehrer, co-founder of Omniskia, visualized the advanced technology with example. "(Quantum computing can solve) optimization problems, which are very big classic problems – how do you move the supply chain faster, how do you move people on the railway network faster or better or more efficiently?

"There might be a new set of problems that we don't solve very well now that quantum computers can solve," the CEO added.

"So studying natural systems, the earth's ecosystem, the human brain, chemical interactions… those kinds of systems are inherently quantum. They're not classical," he further explained, adding that a quantum computer can work with data better to help people understand how those things work and impact them.

"So quantum may help us do some things that we do now much faster, and can also possibly help us do new things that we haven't even thought of yet," Lehrer said while acknowledging that this technology is still far from having reached maturity.

Lehrer also introduced the newest trends in machine learning. "One is 'supervised learning' where an operator gives feedback to the machine so that we can learn over time. There's 'unsupervised learning' where the machine automatically finds patterns in data," he listed.

And he detailed the so-called "reinforcement learning," which is one of the booming fields in machine learning.

"There's reinforcement learning, which my startup is most interested in, where the machine goes out into the environment, interacts with the world, get signals back and helps them learn and achieve its goal.

"It's not new, but it's one of the newest trending fields in machine learning," Lehrer told CGTN.