"Fixing the Noise Problem in Quantum Computing"

Research conducted by Xiu Yang, an assistant professor of industrial and systems engineering in Lehigh University's P.C. Rossin College of Engineering and Applied Science, could accelerate the real-world adoption of quantum computing in various fields, including data encryption, drug development, portfolio optimization, and more. According to Yang, the main barrier to quantum computing is noise in the device, which is a hardware issue that causes errors in computing. His research is at the algorithm level, with the goal being to determine what can be done about noise in the device when implementing quantum algorithms. Yang recently won a $400,000 grant from the National Science Foundation (NSF) Faculty Early Career Development (CAREER) program for his proposal to develop methods to model error propagation in quantum computing algorithms and filter the consequent noise in the results. Yang will use cutting-edge statistical and mathematical methods to quantify the uncertainty caused by device noise in quantum computing algorithms. Yang's ultimate goal is to enable quantum computing to deliver on its promise of unparalleled speed when solving highly complex problems. This article continues to discuss Yang's research aimed at solving the noise problem in quantum computing, which could push it into real-world adoption in data encryption and other fields. 

Lehigh University reports "Fixing the Noise Problem in Quantum Computing"