432 citations · 1.7k across the 22 of their papers we have counts for
23 papers
Quantum Modeling of Spatial Contiguity Constraints
Yunhan Chang, Amr Magdy, Federico M. Spedalieri
Quantum computing has demonstrated potential for solving complex optimization problems; however, its application to spatial regionalization remains underexplored. Spatial contiguit…
Imposing Constraints on Driver Hamiltonians and Mixing Operators: From Theory to Practical Implementation
Hannes Leipold, Federico M. Spedalieri, Stuart Hadfield +1
Driver Hamiltonians and Mixing Operators that satisfy constraints is an important part of ansatz construction for many quantum algorithms. In this manuscript, we give general algeb…
Quantum Annealing with Special Drivers for Circuit Fault Diagnostics
Hannes Leipold, Federico M. Spedalieri
We present a very general construction for quantum annealing protocols to solve Combinational Circuit Fault Diagnosis (CCFD) problems that restricts the evolution to the space of v…
Constructing Driver Hamiltonians for Optimization Problems with Linear Constraints
Hannes Leipold, Federico M. Spedalieri
Recent advances in the field of adiabatic quantum computing and the closely related field of quantum annealers has centered around using more advanced and novel Hamiltonian represe…
A Study of Complex Deep Learning Networks on High Performance, Neuromorphic, and Quantum Computers
Thomas E. Potok, Catherine Schuman, Steven R. Young +6
Current Deep Learning approaches have been very successful using convolutional neural networks (CNN) trained on large graphical processing units (GPU)-based computers. Three limita…
Quantum Annealing for Constrained Optimization
Itay Hen, Federico M. Spedalieri
Recent advances in quantum technology have led to the development and manufacturing of experimental programmable quantum annealers that promise to solve certain combinatorial optim…