Tameem  Albash

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Assistant Professor

Department of Electrical and Computer Engineering

Personal Website


Ph.D., Physics, University of Southern California, 2010

B.S. Electrical and Computer Engineering, Cornell University, 2003


Dr. Albash joined the burgeoning quantum computing community as a postdoc at USC, where he started working on open quantum system simulations, quantum annealing and more generally adiabatic quantum computing. He subsequently joined the Information Sciences Institute at USC, where he continued his work in benchmarking quantum annealing processors and continuing the search for the still elusive physically relevant example of a quantum speedup. Dr. Albash is currently a member of the Performer team on IARPA’s Quantum Enhanced Optimization program, which seeks to demonstrate a path to quantum enhancement using quantum annealing.
Dr. Albash’s present research interests are on understanding how and whether quantum advantages may manifest themselves in near-term quantum information processing hardware. While quantum algorithms are known to provide computational speedups over their classical counterparts, current devices are limited both in the size and length of computations they can perform. The challenge is now to uncover computational tasks for which these and future near-term devices could provide measurable performance advantages given these constraints. Of particular interest is the question of whether there is ultimately a tradeoff between the noise-sensitivity of an algorithm and its ability of providing a genuine quantum speedup.

Teaching Interests

  • Quantum computing
  • Computational methods

Research Interests

  • Open quantum systems
  • Quantum computing
  • Simulation and computational methods

Center/Laboratory/Program Affiliations

  • Center for Quantum Information and Control (CQuiC)