29 citations · 69 across the 18 of their papers we have counts for
8 papers · 1 filter
Enabling particle applications for exascale computing platforms
Susan M Mniszewski, James Belak, Jean-Luc Fattebert +21
The Exascale Computing Project (ECP) is invested in co-design to assure that key applications are ready for exascale computing. Within ECP, the Co-design Center for Particle Applic…
Quantum-based Molecular Dynamics Simulations Using Tensor Cores
Joshua Finkelstein, Justin S. Smith, Susan M. Mniszewski +4
Tensor cores, along with tensor processing units, represent a new form of hardware acceleration specifically designed for deep neural network calculations in artificial intelligenc…
Computing molecular excited states on a D-Wave quantum annealer
Alexander Teplukhin, Brian K. Kendrick, Susan M. Mniszewski +6
The possibility of using quantum computers for electronic structure calculations has opened up a promising avenue for computational chemistry. Towards this direction, numerous algo…
Variational Quantum Eigensolver with Reduced Circuit Complexity
Yu Zhang, Lukasz Cincio, Christian F. A. Negre +6
The variational quantum eigensolver (VQE) is one of the most promising algorithms to find eigenvalues and eigenvectors of a given Hamiltonian on noisy intermediate-scale quantum (N…
A QUBO formulation for top- eigencentrality nodes
Prosper D. Akrobotu, Tamsin E. James, Christian F. A. Negre +1
The efficient calculation of the centrality or "hierarchy" of nodes in a network has gained great relevance in recent years due to the generation of large amounts of data. The eige…
A QUBO Algorithm to Compute Eigenvectors of Symmetric Matrices
Benjamin Krakoff, Susan M. Mniszewski, Christian F. A. Negre
We describe an algorithm to compute the extremal eigenvalues and corresponding eigenvectors of a symmetric matrix by solving a sequence of Quadratic Binary Optimization problems. T…