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  /  Latest News   /  Quantum computing vs Probabilistic Computing: Here’s all that you need to know
quantum computing

Quantum computing vs Probabilistic Computing: Here’s all that you need to know

Purdue University are working on a probabilistic computer that could cross the void between classical and quantum computing to solve various issues more efficiently.

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 a lot of theoretical potential, but there are a lot of roadblocks to clear before they can be built into functional devices. According to IEEE Spectrum, some skeptics have argued that the technical challenges are so immense that it’s very unlikely that general-purpose quantum computers will become available anytime in the foreseeable future. Others, including the engineers now working very hard to build these machines at Google, IBM, Intel, and elsewhere, are more sanguine, anticipating that 5 or 10 more years of work may be enough to bring the first practical general-purpose quantum computers on line. Only time will tell.

As per report of Science Alert, Quantum computers exist today, although they’re limited, cut-down versions of what we hope fully blown quantum computers are going to be able to do in the future.

But now, researchers have developed hardware for a ‘probabilistic computer’ – a device that might be able to bridge the gap between genuine quantum computers and the standard PCs and Macs we have today.

 

Introducing 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.

Probabilistic computing study is not a new field of research, but advances in efficient computing and deep learning algorithms that may usher the field into a new age. We anticipate that research in probabilistic computing will result in substantial developments in the performance, safety, reliability, and efficiency of AI systems over the next few decades, including hardware specifically developed for probabilistic computing. These innovations are crucial for implementing smart homes and smart city technologies in the actual world.

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.

Fierce Electronics mentioned that Purdue’s probabilistic computer solves some quantum queries without needing extreme cold. They also mentioned that the team believes it could solve some of the problems a quantum computer would solve, such as calculating the best solution from a very large number of solutions. In one logistics example, that could be the best route for goods to travel to market. Instead of qubits used in quantum computers, a probabilistic computer is made from p-bits to solve problems involving optimization.