Douglas S Campbell

Title: Douglas S. Campbell and Quantum Computing Optimization

Introduction

Douglas S. Campbell is an inventor based in Tucson, Arizona, whose patent work addresses optimization methods for adiabatic quantum computation. His disclosed approach focuses on mapping optimization problems onto quantum-computing hardware while accounting for practical hardware limitations.

Latest Patents

Campbell is associated with 1 patent, titled “Heuristic Graph Embedding Methods for Adiabatic Quantum Computation Optimization.” The patent describes methods for embedding an optimization problem into a hardware solution using graph-embedding techniques. It applies heuristics for graph minor embedding to map the problem’s graph structure onto the physical topology of a quantum computing device or processor. The methods aim to improve hardware implementation while addressing constraints such as limited qubit connectivity and faulty qubits.

Career Highlights

Campbell’s listed company affiliation is Lockheed Martin Corporation. His patent reflects work at the intersection of optimization, graph theory, and quantum-computing hardware implementation.

Collaborations

The provided information lists Tessa J. Adair and Steven H. Adachi as Campbell’s coworkers. Their specific contributions to the patent or related work are not specified.

Conclusion

Douglas S. Campbell’s patent describes heuristic graph-embedding methods intended to make adiabatic quantum optimization more practical on hardware with connectivity and qubit reliability constraints.