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Related Experiment Video

Updated: Sep 24, 2025

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

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Quantum Bridge Analytics II: QUBO-Plus, network optimization and combinatorial chaining for asset exchange.

Fred Glover¹, Gary Kochenberger¹, Moses Ma²

¹Entanglement, Inc., New York, NY USA.

Annals of Operations Research

|May 9, 2022

Summary

Quantum Bridge Analytics introduces QUBO-Plus models, extending Quadratic Unconstrained Binary Optimization for broader hybrid classical-quantum computing applications. This enables solving complex problems like the Asset Exchange Problem for mutual benefit.

Keywords:

Asset Exchange Technology Blockchain Combinatorial chaining Network optimization Quantum Bridge Analytics Quantum computing

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Area of Science:

Hybrid classical-quantum computing
Quantum computing algorithms
Optimization techniques

Background:

Quantum Bridge Analytics bridges classical and quantum computing.
Part I introduced the Quadratic Unconstrained Binary Optimization (QUBO) model.
QUBO unifies diverse combinatorial optimization problems.

Purpose of the Study:

Introduce QUBO-Plus models for expanded problem-solving capabilities.
Detail the Asset Exchange Problem (AEP) as a key QUBO-Plus instance.
Demonstrate a framework for diverse real-world applications.

Main Methods:

Development of QUBO-Plus models.
Application of network optimization.
Introduction of a new metaheuristic: combinatorial chaining.
Solving the Asset Exchange Problem (AEP).

Main Results:

QUBO-Plus models handle a wider range of problems than QUBO.
The AEP can be solved using combined network optimization and combinatorial chaining.
Identified mutually beneficial asset exchanges for market participants.

Conclusions:

QUBO-Plus models significantly expand the scope of quantum computing applications.
The AEP solution framework addresses financial, industrial, scientific, and social problems.
Quantum Bridge Analytics facilitates practical quantum computing advancements.