Quantum computing has the capability to revolutionize computing by allowing for the solution of previously unsolvable problems.

Quantum computing has the ability to transform the world in the near future. Experts have extensively predicted that quantum computers could solve certain kinds of issues much faster than conventional computers, particularly those involving a large number of variables and potential scenarios, such as simulations or optimization concerns.

What is Quantum Computing?

Quantum computing is a field of research that focuses on developing computational technology based on quantum mechanics concepts, which describes the origin and behavior of matter and energy at the quantum (atomic and subatomic) levels. It has the ability to dramatically increase computational power, ushering in a new age in computer technology.

Quantum computers have the capability to revolutionize computing by allowing for the solution of previously unsolvable problems. Although no quantum computer has yet been built to perform calculations that a classical computer cannot, substantial progress is being made. A few large corporations and small start-ups now have working non-error-corrected quantum computers with tens of thousands of qubits, and some of these are also available to the general public through the cloud. Quantum simulators are also making progress in areas as diverse as molecular energetics and many-body physics.

According to IEEE Spectrum, Computer scientists and engineers have started down a road that could one day lead to a momentous transition: from deterministic computing systems, based on classical physics, to quantum computing systems, which exploit the weird and wacky probabilistic rules of quantum physics. Many commentators have pointed out that if engineers are able to fashion practical quantum computers, there will be a tectonic shift in the sort of computations that become possible.

But that's a big if.

Presenting Probabilistic Computing

Probabilistic computing will enable future systems to understand and function with the uncertainties fundamental in natural data, allowing us to develop computers capable of comprehending, forecasting, and making decisions.

Intel Newsroom mentioned that, Research into probabilistic computing is not a new area of study, but the improvements in high-performance computing and deep learning algorithms may lead probabilistic computing into a new era. In the next few years, we expect that research in probabilistic computing will lead to significant improvements in the reliability, security, serviceability and performance of AI systems, including hardware designed specifically for probabilistic computing. These advancements are critical to deploying applications into the real world – from smart homes to smart cities.

To accelerate our work in probabilistic computing, Intel is increasing its research investment in probabilistic computing and we are working with partners to pursue this goal.

Also, Purdue University researchers have announced that they are working on a probabilistic computer that could cross the void between classical and quantum computing to solve issues more efficiently in areas including drug discovery, security and safety, financial services, data processing, and supply chain management.