40 citations · 40 across the 1 of their papers we have counts for
3 papers
Experimental benchmarking of an automated deterministic error suppression workflow for quantum algorithms
Pranav S. Mundada, Aaron Barbosa, Smarak Maity +8
Excitement about the promise of quantum computers is tempered by the reality that the hardware remains exceptionally fragile and error-prone, forming a bottleneck in the developmen…
Using machine learning for quantum annealing accuracy prediction
Aaron Barbosa, Elijah Pelofske, Georg Hahn +1
Quantum annealers, such as the device built by D-Wave Systems, Inc., offer a way to compute solutions of NP-hard problems that can be expressed in Ising or QUBO (quadratic unconstr…
Optimizing embedding-related quantum annealing parameters for reducing hardware bias
Aaron Barbosa, Elijah Pelofske, Georg Hahn +1
Quantum annealers have been designed to propose near-optimal solutions to NP-hard optimization problems. However, the accuracy of current annealers such as the ones of D-Wave Syste…