Hybrid Quantum-Classical Computing Tapped for Industrial R&D

A new partnership aims to explore hybrid quantum-classical computing to accelerate R&D in the chemical and material industries.

Quantistry, a Berlin-based startup behind an intuitive cloud-native chemical simulation platform, is joining forces with quantum computer manufacturer IQM Quantum Computers under a memorandum of understanding.

The companies plan to focus on integrating IQM's quantum systems into QuantistryLab, Quantistry's flagship platform, aiming to enhance QuantistryLab's capabilities and enable users to tackle industrial use cases faster and more accurately.

“We are demonstrating our ongoing commitment to accelerating quantum computing innovation and exploring use cases of industrial relevance by extending our relationship with Quantistry,” said IQM head of strategic partnerships Peter Eder.

“This partnership gives us the opportunity to expand innovation leadership in the quantum ecosystem and show how quantum computing can benefit the chemical and material industries.”

The announcement follows IQM launching IQM Resonance, a cloud service designed to offer algorithm developers and scientists access to IQM's quantum systems to plan, develop, test and benchmark quantum algorithms.

Quantistry recently secured $3.2 million in funding led by Ananda Impact Ventures, with contributions from Chemovator, the BASF business incubator. The funding is earmarked to accelerate Quantistry's mission of transforming the R&D landscape through quantum-based simulations and AI-driven solutions.

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"The growing collaboration with IQM strengthens Quantistry's commitment to reshape chemical and material R&D, from quantum to AI,” said Quantistry chief growth officer and co-founder Arturo Robertazzi.

“With a focus on sustainability and renewable energies, this partnership propels our goal of enabling leaders in strategic industrial sectors to foster a greener future for all."

This collaboration represents a notable step in harnessing the power of quantum computing for practical, industry-specific applications at the intersection of quantum computing and chemical simulation.