Argonne National Laboratory

Quantum Computing

Quantum computing offers the opportunity for revolutionizing scientific computing, and the DOE Office of Science Advanced Scientific Computing Research (ASCR) program has expressed considerable interest in this emerging area. In 2015 DOE sponsored a workshop to assess the viability of quantum computing technologies to meet computational requirements in support of the DOE’s science and energy mission; and in 2017 DOE sponsored a workshop on quantum computing testbeds and the technologies needed to advance quantum computing for scientific applications in the next five years.

What have we been doing?

In the Mathematics and Computer Science Division at Argonne, we are involved in many quantum computing projects, including the following:

  • Numerical optimization - developing numerical optimization algorithms for common quantum computing problems
  • Data compression - devising fast data compression techniques that reduce computational cost while maintaining precision
  • Quantum entanglements - simulating and understanding experimental setups that maximize the intensity and duration of quantum entanglement
  • Quantum simulation - applying quantum dynamics techniques to solve problems in chemistry and materials science
  • Hybrid quantum computing - developing decomposition methods that use quantum computing with classical computing for solver large-scale mixed-integer nonlinear programming problems that arise in many applications, including energy infrastructure system planning and operations

We have recently received DOE funding to participate in the Quantum Algorithms, Mathematics and Compilation Tools for Chemical Sciences project. Our aim is to design novel technologies to advance machine learning on near-term quantum computing platforms. The Quantum Algorithms Team consists of researchers led by Lawrence Berkeley National Laboratory and including UC Berkeley and Harvard University.

Where have we been publishing?

Here are some recent papers we have published in peer-reviewed journals or presented at conferences.

Also of note is a new solver, available on github, for general simulation of quantum systems: 


We've also been involved in several seminars and panels.