Crossover between Machine Learning and Quantum Information Processing: New ways to fight COVID19
As researchers are exploring new ways to combat the COVID19 pandemic, data science and AI have become an integral part of their research. It has become the norm to use supercomputers in order to accelerate the process of drug screening and drug discovery in order to find solutions as soon as possible.
Researchers from the Penn State University have found a new way to make this process easier; by bringing together quantum information processing and machine learning. They believe that this combination will help to overcome the inadequacies faced in the current processes to develop complex compounds due to lack of sufficient information about the virus. Drug discovery is an arduous process which can take years to arrive on a solution and in the current circumstances it has become very important to find answers to this grave problem in as little time as possible.
Researchers have always looked into evolving technologies to simplify their tasks and this is just another step to find faster and cheaper solutions to address the problem at hand. The team at Penn State University is excited to tread into new waters to help fight this critical issue.
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