ENERGY & SUSTAINABILITY
Sustainability and food production are becoming increasingly dependent on advanced optimization, AI, and data-driven technologies to improve efficiency, reduce waste, strengthen food security, and lower environmental impact across large-scale agricultural operations. At AngelQ Quantum Computing, we develop qubit-efficient quantum optimization technologies that enable complex production, logistics, and resource-allocation problems to be tackled using practical hybrid quantum-classical workflows. One example is our collaboration with Japfa through its AI & Quantum Computing Centre of Excellence in Singapore, supported by Enterprise Singapore and the Singapore Economic Development Board. Together, we are exploring the use of qubit-efficient quantum optimization and AI technologies for sustainable livestock farming and food-production optimization, benchmarking quantum-enhanced approaches against existing AI-driven operational systems.
Interested in applying quantum optimization to your industry?
Discuss Your Use CaseMore Efficient and Sustainable Food Production with Quantum-Enhanced AI
Japfa launches its AI and Quantum Computing Centre of Excellence in Singapore.
Interested in applying quantum optimization to your industry?
Discuss Your Use Case1st Prize in Canada Quantum Challenge for Key Energy Solutions with Quantum Computing among 60 entries!
The growing adoption of electric vehicles and renewable energy introduces new challenges for electricity grid management, charging infrastructure and energy distribution. Coordinating charging demand, electricity prices, grid capacity, renewable generation and operational constraints requires solving large-scale optimisation problems. AngelQ develops qubit-efficient quantum and hybrid quantum-classical optimisation approaches for energy scheduling and resource allocation, including electric vehicle charging scenarios. Our technologies aim to support more efficient energy utilisation, reduced charging costs and improved coordination between electric mobility infrastructure and the electricity grid.
Interested in applying quantum optimization to your industry?
Discuss Your Use CaseRecycling Optimization for Routing of Waste Collection
Efficient recycling and resource recovery require the coordination of complex collection, sorting, processing and transportation operations. Waste management companies must optimise collection routes, recycling facility utilisation, material separation, processing schedules and resource allocation while controlling costs and environmental impact. AngelQ develops quantum-enhanced optimisation approaches that can be adapted to these interconnected challenges, combining qubit-efficient quantum algorithms with classical optimisation and AI-assisted decision-making. Our technologies aim to support more efficient recycling networks, reduced transportation requirements, improved material recovery and the transition towards a sustainable circular economy.