for Chemicals & Materials
Quantum computing promises to accelerate the discovery of new chemicals and materials, such as high-temperature superconductors, more efficient batteries, and new solar cell materials. Even if it only increased efficiency by a realistic 5-10%, McKinsey estimates that quantum computing could add $20 billion to $40 billion in value for the industry each year.
Building Better Batteries
The shift to renewable energy and electric vehicles will be accelerated by the development of new battery technology. Alternative electrolyte formulations could potentially allow lithium-ion batteries to operate at high voltages without compromising their cycle life. However, because the number of possible electrolyte formulations is extremely large, machine learning techniques could accelerate the discovery of battery materials.
Research suggests that quantum computing may be able to capture more correlations in data than classical computers, which would improve the prediction accuracy of machine learning models used to screen electrolyte additives. A hybrid quantum-classical classifier can be used to identify electrolyte additives that are likely to improve the oxidative stability of selected electrolyte formulation. The successful implementation of such an approach could reduce the marginal cost of producing electric vehicles and potentially increase their range.
A selection of chemicals and materials quantum use cases.
As the world’s largest chemical producer, BASF wants to know how quantum computing can be applied in the near-term to support the development of sustainable and innovative new materials.
BASF has partnered with Zapata to explore how quantum computing can boost machine learning approaches for predicting the molecular properties of new materials. Our collaboration with BASF also investigates how quantum-inspired methods can optimize operations across the value chain, from the sourcing of raw materials to the distribution of finished products.
Orquestra® Benefits for Chemicals and Materials
Orchestration Across Environments
Leverage the quantum and other heterogenous classical compute resources best suited for your tasks, without getting locked into any one hardware platform. Deploy across hybrid backends at enterprise scale.
Data Management & Velocity
Store, retrieve, and analyze large datasets. Streamline data management from ingestion to export to accelerate data velocity.
Keep what works now. Integrate existing and future solutions with a framework optimized for extensibility, interoperability, and innovation.
Workflow Development and Deployment
One unified platform to go from research to development to deployment with extensible, scalable, modular workflows.
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