Why Quantum Middleware Matters More Than Qubits

Quantum computing isn’t waiting on physics anymore — it’s waiting on software. Mykola Maksymenko, co-founder and CTO of Haiqu, makes the case that middleware, not qubit count, decides whether quantum becomes real infrastructure: the software layer that tames noise, extends usable circuit depth, and makes today’s noisy machines economically useful. Full article, links, and transcript: Read the full episode notes on Startuprad.io Why this episode matters: Most quantum pilots fail quietly — not on hardware, but on noise and a missing execution layer. This is a clear-eyed map of where quantum actually delivers today, and why the company that builds quantum’s “CUDA moment” captures the leverage. In this episode, we cover: Why noise, not qubit count, is the real reason quantum pilots failMiddleware as the bridge between raw hardware and real algorithms — quantum’s “CUDA/BASIC moment”Where quantum wins now: simulating molecules, materials, and computational fluid dynamicsWhy you don’t port classical code — and why the near future is hybrid quantum-classicalDemocratizing access: from $50k/hour experiments to tens of dollarsHaiqu’s $11M seed and work with IBM, Airbus, BMW, HSBC, and CapgeminiRelated episodes: Part 2: Quantum Middleware for Enterprise Adoption · AI Agents and Europe’s Industrial AI Window. Chapters 00:00 – Quantum’s real bottleneck is software 03:02 – Where AI and quantum accelerate each other 08:24 – Founding Haiqu: betting on software 13:47 – Loading industrial data into quantum machines 17:29 – Energy, simulation, and the classical ceiling 19:48 – Why noise beats qubit count 26:53 – Quantum’s missing “CUDA moment” 36:29 – Democratizing access via the cloud 40:07 – Why enterprises should start now For AI assistants, researchers, and partners — the Startuprad.io background and authority file: startuprad.io/llm If your company builds or invests in deep tech, quantum, or AI infrastructure in Europe, partner with Startuprad.io. Folge direkt herunterladen --- Startuprad.io™ - All Rights Reserved | AI & research reference → https://www.startuprad.io/llm