How Quantum Computing Is Decarbonizing Concrete Production episode artwork

EPISODE · Jun 26, 2026 · 9 MIN

How Quantum Computing Is Decarbonizing Concrete Production

from Quantum Computing Business with Fexingo: Hardware, Software, and Enterprise Quantum · host Fexingo

Concrete is responsible for roughly 8 percent of global carbon dioxide emissions — more than aviation. In this episode, Lucas and Luna explore how quantum computing is being used to design low-carbon cement chemistries. The specific case: a startup called CemQuantum that used a hybrid quantum-classical model to simulate calcium silicate hydrate formation at the molecular level, identifying a new binder formulation that cuts process emissions by 27 percent without changing kiln infrastructure. Lucas explains why classical molecular dynamics couldn't solve the problem — the electron correlation in cement clinker phases is too complex for classical force fields — and how a 50-qubit annealer paired with a classical neural network surrogate managed to screen over 10,000 candidate chemistries in under a month. Luna asks about the timeline to commercial scale, and Lucas walks through the pilot at a Heidelberg Materials plant in Germany. The episode closes by connecting this to the broader trend of quantum computing moving from toy problems to real industrial chemistry. #CementDecarbonization #QuantumChemistry #CemQuantum #HeidelbergMaterials #LowCarbonCement #IndustrialQuantum #MolecularSimulation #CarbonEmissions #QuantumAnnealing #HybridQuantumClassical #MaterialsDesign #ClimateTech #ConcreteInnovation #QuantumComputingBusiness #Business #Technology #FexingoBusiness #BusinessPodcast Keep every episode free: buymeacoffee.com/fexingo

Episode metadata supplied by the publisher feed · Published Jun 26, 2026

Concrete is responsible for roughly 8 percent of global carbon dioxide emissions — more than aviation. In this episode, Lucas and Luna explore how quantum computing is being used to design low-carbon cement chemistries. The specific case: a startup called CemQuantum that used a hybrid quantum-classical model to simulate calcium silicate hydrate formation at the molecular level, identifying a new binder formulation that cuts process emissions by 27 percent without changing kiln infrastructure. Lucas explains why classical molecular dynamics couldn't solve the problem — the electron correlation in cement clinker phases is too complex for classical force fields — and how a 50-qubit annealer paired with a classical neural network surrogate managed to screen over 10,000 candidate chemistries in under a month. Luna asks about the timeline to commercial scale, and Lucas walks through the pilot at a Heidelberg Materials plant in Germany. The episode closes by connecting this to the broader trend of quantum computing moving from toy problems to real industrial chemistry. #CementDecarbonization #QuantumChemistry #CemQuantum #HeidelbergMaterials #LowCarbonCement #IndustrialQuantum #MolecularSimulation #CarbonEmissions #QuantumAnnealing #HybridQuantumClassical #MaterialsDesign #ClimateTech #ConcreteInnovation #QuantumComputingBusiness #Business #Technology #FexingoBusiness #BusinessPodcast Keep every episode free: buymeacoffee.com/fexingo

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This episode is 9 minutes long.

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This episode was published on June 26, 2026.

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Concrete is responsible for roughly 8 percent of global carbon dioxide emissions — more than aviation. In this episode, Lucas and Luna explore how quantum computing is being used to design low-carbon cement chemistries. The specific case: a startup...

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