136 citations · 513 across the 37 of their papers we have counts for
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Noise Dynamics of Quantum Annealers: Estimating the Effective Noise Using Idle Qubits
Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
Quantum annealing is a type of analog computation that aims to use quantum mechanical fluctuations in search of optimal solutions of QUBO (quadratic unconstrained binary optimizati…
Distributed Out-of-Memory SVD on CPU/GPU Architectures
Ismael Boureima, Manish Bhattarai, Maksim E. Eren +3
We propose an efficient, distributed, out-of-memory implementation of the truncated singular value decomposition (t-SVD) for heterogeneous (CPU+GPU) high performance computing (HPC…
Solving Larger Maximum Clique Problems Using Parallel Quantum Annealing
Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
Quantum annealing has the potential to find low energy solutions of NP-hard problems that can be expressed as quadratic unconstrained binary optimization problems. However, the har…
Distributed non-negative RESCAL with Automatic Model Selection for Exascale Data
Manish Bhattarai, Namita Kharat, Erik Skau +5
With the boom in the development of computer hardware and software, social media, IoT platforms, and communications, there has been an exponential growth in the volume of data prod…