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 to 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 Programming, Semi-definite Programming, and Second-order Cone Optimization problems
  • Quantum methods to solve Combinatorial optimization problem such as 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 four faculty members

The Ph.D. students working in this lab

Collaborating partners

Seminars/Courses

  • The QCOL  holds Quantum Computing Seminar Course by Giacomo Nannicini of IBM in Spring 2020.
  • Quantum Computing and Optimization at MOPTA 2020 .