• Quantum AI

The Need For Speed: Let's Talk Bandwith

The scale at which the new computational paradigm can affect the computational world, and the society at large, is magnanimous. For example, it has the capacity to introduce fundamentally more powerful forms of AI. We all know the fundamental principle of machine learning ‘Pattern Recognition’. With quantum computation, machines will not only be able to compare much more data in parallel, but also will simultaneously do all permutations of that data to discover the best patterns that describe it. Besides, Quantum Computing will allow us to model complex molecular interactions at an atomic level. It will particularly be important for medical research and drug discovery. Similarly, Quantum computers may be our newest tool that will allow us to unlock ‘simulation-driven’ solutions—perhaps design new catalysts that actually capture carbon from the atmosphere and turn it into new and valuable products at low cost and energy use.

The Quantum Computing processor, a physical device enabling the principle of Quantum Computing, is still rather a theoretical concept than a ready-to-implement engineering solution. Yet, this notion has been broken recently by D-Wave’s announcement of shipping the first commercially available Quantum computer model D-Wave 2000Q. It’s the beginning of the evolution of Quantum Computing. In the coming years, we expect to see great advances in all aspects of the technology, from computing hardware and environmental elements to system software and tools to a growing ecosystem of applications designed to take advantage of the unique characteristics of the Quantum system. Being part of the Technology Start-ups Exploration Group at Quantuum Logix, we believe that we are going to witness a truly exciting time ahead; the ‘next computing revolution’.

#Speed #Bandwidth

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