Hybrid Quantum-Classical Computing
First production deployments exist for specific optimisation use cases — combining quantum processors with classical computing for the parts each handles best.
Documented examples
- Logistics: workforce scheduling reduced from an 80-hour task to 15 hours per week (D-Wave, retail).
- Finance: bond trading fill-probability prediction (HSBC) and portfolio optimisation pilots (BBVA).
- Energy: grid optimisation pilots (E.ON) and renewable integration modelling.
Quantum-as-a-Service (QaaS) platforms — IBM Quantum, AWS Braket, Azure Quantum, and Austria's AQT via cloud — let you experiment without hardware investment.