Today, when researchers set out to design new drugs for diseases like cancer or Alzheimer’s, they know the process will be slow and sporadic at best. Traditional approaches to scientific research face bottlenecks arising from the process, cost, and complexity of the work, along with the amount of time it takes for classical computers to analyze massive amounts of data.
But what if instead of attempting to discover and design new drugs and medicines using simple binary digits, we could use something that dramatically changes how we analyze data and what can be discovered from it? Something that could bring new therapies and cures much faster to patients in need.
