Solver engine · Research-stage · Network, Flow & Conflict
QG-GRAPH.
How is the network built, and who gets what? QG-GRAPH designs topologies and resolves conflicts over shared network resources — spectrum, bandwidth, capacity.
Overview
Network, Flow & Conflict.
Earliest of the six
QG-GRAPH is the newest engine, built on QuMatrix's distributed computing and communication research.
Shared orchestration
It runs on the same QG-CORE intake, formulation and backend routing as every other engine.
Your constraints
Topology, capacity and conflict rules you already operate under — respected, not simplified away.
Canonical problems
What QG-GRAPH solves.
Industries
Where it applies.
Methods
Quantum-inspired network design.
QG-GRAPH formulates network topology, colouring and flow problems in QUBO/Ising form and explores them with quantum-inspired and hybrid search — well-matched to the graph-colouring class that spectrum assignment and conflict resolution share.
Research behind this engine
Distributed computing and communication research at QuMatrix — the foundation QG-GRAPH is being productized from.
Proof of value
No published number yet — and we're saying so.
QG-GRAPH is the earliest-stage engine we offer. The research is real, but there is no independently benchmarked figure to publish yet. The honest version is this — the same archetype has been solved in adjacent research contexts, and when we run it against your network, that benchmark is the number that counts.
FAQ
Straight answers.
Is this actually quantum?
QG-GRAPH is quantum-inspired and hybrid quantum-classical by design, on the same QG-CORE orchestration as every other engine.
What's the maturity?
Research-stage — the earliest of the six. We're looking for design partners in telecom and energy to run the first benchmarked pilots.
Can I still talk to you about a pilot?
Yes — research-stage engines still take on design partners. Get in touch and we'll scope what's realistic for your timeline.
What data do you need to start?
Your network topology, current allocation or colouring approach, and the constraints that matter to you. Anonymized or sampled data is fine for a first look.
Help shape QG-GRAPH as a design partner.
Thirty minutes to talk through your network problem and whether a research-stage engagement makes sense for your timeline.
Contact us →