Kvantify Launches Qrunch - A Game Changer in Quantum Computing for Chemistry and Biology

Kvantify Launches Qrunch



On November 19, 2025, Kvantify, a trailblazer in quantum software based in Denmark, officially introduced its flagship product, Qrunch. This innovative platform is designed to enhance accessibility in quantum computing, particularly for professionals in chemical and biological engineering. Qrunch is set to showcase its capabilities for the first time at the SC25 conference in St. Louis.

The significant role of chemical simulations in the pharmaceutical and biotechnology sectors cannot be overstated, as they represent a crucial engine of innovation. Traditionally, quantum computing has been a promising avenue for accelerating these processes, yet widespread adoption has been hampered by several challenges. Notably, limited accessibility for non-experts, insufficient scalability for real-world problems, and high cost-value ratios have created significant barriers.

With Qrunch, Kvantify addresses these issues comprehensively. The platform delivers enterprise-level quantum technology tailored specifically for computational chemistry workflows. Its user-friendly interface allows scientists to develop and deploy quantum algorithms without needing extensive quantum expertise. This innovative setup drastically reduces workflow development time compared to direct hardware programming. Consequently, computational chemists can now focus on solving scientific challenges rather than grappling with quantum gate sequences and qubit topology constraints.

Nikolaj Zinner, the scientific director at Kvantify, underscores the critical distinction of Qrunch, stating, "Our specific approach to quantum computing enables full utilization of quantum hardware, which is essential for differentiation in the market." Unlike traditional quantum software that typically access only 10-30% of available qubits, Qrunch employs chemistry-specific strategies that enable efficient execution across all processor architectures. This assertion is backed by molecular simulations utilizing up to 80 qubits on current quantum processors, achieving three to four times the problem-solving capacity compared to standard methods.

For applications in pharmaceuticals and materials science, these capabilities translate to reduced project timelines, broader access to molecular systems, and the possibility of modeling larger, commercially relevant molecules. Lars Olsen, the head of services at Novonesis, points out, "Through these calculations and subsequent analysis of enzyme behavior during catalysis, we can gain a better understanding of fundamental biological processes. This will lead to insights that enhance the effectiveness of our existing enzymatic products."

Qrunch positions quantum computing as a technology that pushes the boundaries of solvable problems in computational chemistry. Its versatility is highlighted by its compatibility with contemporary gate-based quantum computers, including those accessible via Amazon Braket—a service offered by Amazon Web Services (AWS). Moreover, Qrunch is closely integrated with the European quantum ecosystem and is being rolled out in collaboration with IQM Quantum Computers, a world leader in superconductive quantum computing with a strong European heritage.

Jan Goetz, co-CEO and co-founder of IQM Quantum Computers, emphasizes the importance of high-performance quantum software for commercializing quantum computing. He states, "What Kvantify has developed with Qrunch is a pivotal element for making quantum computing a reality. We are excited to partner with Kvantify to strengthen the European quantum ecosystem and leverage the synergies between hardware and software."

Qrunch is available now, transforming the landscape of quantum computing for chemical and biological innovation. To learn more about Qrunch, visit Kvantify's website.

About Kvantify


Kvantify is a pioneering company in the quantum software sector, headquartered in Denmark. The company is dedicated to revolutionizing molecular discovery through the integration of quantum and classical computing.

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