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.

Quantum Computing & Optimization Lab (QCOL) Website

Quantum Computing and Optimization Lab (QCOL)
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 Research Group is formed by the Quantum Computing and Optimization Lab (QCOL), established in 2019 by the Industrial and System Engineering Department of Lehigh University. Its aim was 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.

Research Areas

  • 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

Quantum Computing and Optimization Lab (QCOL)  is supported by a recently awarded $2,128,658 research grant from the Defense Advanced Research Projects Agency (DARPA).
Read the article about this award. 

Research Group Members
This lab is led by the following faculty members:

The Ph.D. students working in this lab

Collaborating partners