Joel R Ornstein

Title: Joel R. Ornstein and His Patent in Quantum Computing

Introduction

Joel R. Ornstein is an inventor based in Boulder, Colorado, whose patent work addresses optimization methods for adiabatic quantum computation. His invention focuses on mapping optimization problems onto quantum-computing hardware while accounting for practical limitations in the device’s architecture.

Latest Patents

Ornstein 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 graph of a binary unconstrained optimization problem onto the physical topology of a quantum-computing device or processor. The approach aims to produce an optimized hardware implementation while addressing constraints such as limited qubit connectivity and faulty qubits.

Career Highlights

Ornstein is associated with Lockheed Martin Corporation. His patent reflects work on adapting optimization problems to the physical structures of quantum processors, with the goal of making adiabatic quantum optimization more practical on available hardware.

Collaborations

The supplied information identifies James C. Boerkoel, Jr. and Taylor W. Brent as Ornstein’s coworkers. Their names provide context for his professional connections, though no specific collaborative roles in the patent are stated.

Conclusion

Joel R. Ornstein’s patent contributes a heuristic approach to embedding optimization problems onto quantum-computing hardware, addressing connectivity and faulty-qubit constraints.