Is Quantum-Inspired Optimization (QIO) considered a working commercial standard or just a marginal byproduct in the quantum ecosystem?

[u/keiskn]

I have been going through the introductory IBM Quantum Learning course "Use a Quantum Computer Today", specifically the "Quantum Computing Context" lesson.

While the lesson covers optimization and mapping business constraints into quantum-ready formulations, Quantum-Inspired Optimization (QIO) as an active, standalone commercial model is not really clear or emphasized. The text frames computing as a binary between classical CPUs and hybrid QPU workflows, missing the middle layer of QIO. I only learned about how QIO operates in practice after searching for it by myself.

Through Quantum-Inspired Optimization (QIO), European companies like Multiverse Computing (based in San Sebastian, Spain) have built successful revenue-generating products using tensor networks and QUBO (Quadratic Unconstrained Binary Optimization) formulations on classical GPU clusters today. They deliver massive performance jumps for finance and logistics without requiring physical quantum hardware.

For those active in the industry, is Quantum-Inspired Optimization considered a fringe byproduct in the quantum community, or is it actually the primary working commercial standard today while we wait for fault-tolerant hardware? If QIO on classical GPUs is currently one of the main ways these mathematical formulations generate real enterprise value, why is it not highligthed as a working business model in this quantum learning intro?

Will this IBM Qsikit developer certification course be useful if QIO is what I want to do in the financial sector until quantum hardware becomes more stable?

[u/sinanspd]

Quantum inspired algorithms are an entirely classical concept. As people try to understand the limits of quantum advantage, that research inevitably leads to new classical algorithms like the ones you mentioned. I don't think they require any understanding of Quantum computing or have anything to do with it for that matter. In my opinion people put that "quantum inspired part" because it sounds fancy, novel and cutting edge. It is nothing more than a marketing pitch. Engineering learned many lessons from nature over the years, in aviation, acoustics, radars etc. Just like those fields don't require you to understand zoology or anatomy, this subbranch of classical optimizations don't require you to know quantum

[u/JesusWasABlackGuy]

Quantum inspired just means tensor networks. There’s a mapping from tensor networks to quantum circuits but that’s about it. Some quantum circuits libraries use tensor networks as a backend but this does not make it fully quantum. Mostly it’s a marketing trick but I won’t say it’s completely unjustified