Democratizing Quantum AI

Quantum Computer

NovaceneAI collaborates with CMC Microsystems to bring the power of quantum computing to business users through an easy-to-use interface.

Big Data Needs Big Computers

For years now, the cloud made it possible for subject matter experts to take advantage of massive computing power. From virtual servers, to elastic computing, and from serverless architectures to the supercomputer. High power computing—or HPC—brought solutions to tough challenges in many fields like logistics, finance, healthcare and more.

Quantum Leap

Quantum computing promises even bigger performance gains thanks to its fundamental architectural differences with their classical counterparts. Up until recently, this promise was only real in physicists’ equations. Big and small companies, startups, organizations, and researchers have been working on making quantum computing a reality. In 2019, Google claimed that they achieved quantum supremacy. Although a claim not without controversy, excitement about quantum now seems unstoppable.

Quantum AI

Artificial intelligence and machine learning algorithms require intensive computing operations. When coupled with massive amounts of data, these algorithms can take a really long time to compute the results. Imagine what it would be like to punch numbers in a calculator, hitting the “=” button, and having to come back a week later to see the result. That is exactly what happens today with complex algorithms processing large amounts of data. One could argue that in some cases, by the time the value is delivered (the result) it is too late for it to be relevant.

This is precisely why quantum is so appealing. Quantum AI could provide “instant” solutions to problems that could otherwise take years—or would practically be impossible unless one could wait 10,000 years—for a classical computer to solve.

Quantum Obstacles

Two major challenges hold quantum computing back: (1) a completely different architecture from classical computers and (2) the physical conditions under which quantum computers must operate to deliver useful outcomes. The architecture problem has created a need for specialized talent—quantum developers—that can program the code needed for these computers. The physical conditions problem requires that machines be kept at incredibly low temperatures (although things are getting better) and even then, the “noise” skewing the results quantum computers produce must be “handled” by the programmers.

Quantum Experiment

NovaceneAI partnered with CMC Microsystems to incorporate quantum AI algorithms into the NovaceneAI Platform. The project aims to enable SMEs without a technical background to take advantage of quantum AI through an intuitive interface. The first phase of the collaboration is focused on answering whether it is possible to accomplish the objective and whether the experience is adequate for non-technical users. Later phases will see a variety of quantum AI algorithms integrated into the platform.

Get Involved!

We welcome early adopters to tinker with the technology. If you are passionate about the possibilities of quantum AI, have a use case you would like to test, or have know-how that could help evolve this experiment, please get in touch.