Qubit efficient, useful quantum computing, now

One of the biggest challenges in the quantum industry today is the gap between hardware capabilities and software requirements - leading many organisations to conclude that “quantum is promising, but still too early.” At AngelQ Quantum Computing, we address this through proprietary qubit-efficient quantum algorithms and hybrid quantum-classical workflows that dramatically reduce quantum-resource requirements, enabling practical optimisation, simulation, and quantum-AI applications on today's hardware. contact@angelquantum.com

Our partners and clients include leading organizations around the world

ExxonMobil

Shipping Lane Optimization

Japfa

Quantum Enhanced AI for sustainable livestock production

Kantar

Customer Segmentation, Forecasting, Recommendation Systems

Pfizer

Job Scheduling Problem in Pharma

Quantum City

EV Scheduling Grid Optimization

SGX Group

Financial Optimization

Singapore Airlines

Airline engine maintenance Optimization

ST Engineering

Transport and Scheduling Optimization

Thales

Drone Path Optimization, Defense Logistics and Assets Optimization

ExxonMobil

Shipping Lane Optimization

Japfa

Quantum Enhanced AI for sustainable livestock production

Kantar

Customer Segmentation, Forecasting, Recommendation Systems

Pfizer

Job Scheduling Problem in Pharma

Quantum City

EV Scheduling Grid Optimization

SGX Group

Financial Optimization

Singapore Airlines

Airline engine maintenance Optimization

ST Engineering

Transport and Scheduling Optimization

Thales

Drone Path Optimization, Defense Logistics and Assets Optimization

Partners

IBM Quantum Network

IBM Quantum Network

Alpine Quantum Technologies

Alpine Quantum Technologies

Singapore Technologies Engineering

Singapore Technologies Engineering