quantum.lehigh.edu – Quantum Computing At Lehigh University

Quantum Computing has the potential to solve problems faster than classical supercomputers. This capability can change our world by enabling new methods to decrypt data, faster molecular analysis to design better drug treatments and solve complex optimization problems rapidly. The Quantum Computing and Optimization Lab (QCOL), at the Industrial and System Engineering Department of Lehigh University, was established in 2019 to accelerate the development of quantum computing optimization methodology. Mathematical optimization has critical applications in many disciplines, including physics, biology, engineering, economics, business, and finance. Quantum speed-up has the potential to lead to transformative, revolutionary advances and fundamentally impact society. The QCOL’s research focus is on developing novel QC methodologies to solve complex optimization problems. Current research topics include

Quantum Interior Point Methods for solving Linear Optimization, Semi-definite Optimization, and Second-order Cone Optimization problems
Quantum methods to solve Combinatorial optimization problems such as the Stable Set Problem in Graph theory
Quantum Errors and Their Models

QCO Lab is supported by a recently awarded $2,128,658 research grant from the Defense Advanced Research Projects Agency (DARPA). https://engineering.lehigh.edu/news/article/21m-darpa-grant-puts-ise-faculty-vanguard-quantum-computing

This lab is led by three faculty members

Ph.D. students

Undergrad Students

QCOL Alumni

Collaborating partners