Albash Research Group

The broad objective of the Albash group is to understand how 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. Claims of an advantage should be accompanied with rigorous benchmarking using state-of-the-art classical algorithms, and we hope that improvements in quantum approaches will go hand-in-hand with improvements in classical methods.

Photo: Tameem Albash

Group Leader:
Tameem Albash

Assistant Professor
talbash@unm.edu

Research interest:  Theory: quantum computing and simulation, computational methods