New Research Reveals That Classical Computers Can Surpass Their Quantum Counterparts

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Quantum computing offers major advancements in processing speed and efficiency but faces significant challenges, including information loss. Recent research has shown that optimized classical algorithms can effectively mimic quantum computing, suggesting that improvements in classical computing may bridge the gap to quantum computing’s potential. This development underscores the complexity of achieving quantum superiority and highlights a multifaceted approach to computational advancements.

This breakthrough was achieved with an algorithm that keeps only part of the information stored in the quantum state—and just enough to be able to accurately compute the final outcome.“This work shows that there are many potential routes to improving computations, encompassing both classical and quantum approaches,” explains Dries Sels, an assistant professor in’s Department of Physics and one of the paper’s authors.

The authors compare the work of the algorithm to the compression of an image into a JPEG file, which allows large images to be stored using less space by eliminating information with barely perceivable loss in the quality of the image.

 

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