Rosatom’s Quantum Task Bank: Building Russia’s Portfolio for the Quantum Future

A Systemic Approach to the Quantum Future

Rosatom’s Quantum Task Bank represents a forward-looking initiative aimed at accelerating the transition to practical quantum computing. The corporation is systematically identifying, classifying, and structuring problems that can be solved as soon as quantum hardware reaches maturity. This approach minimizes delays between technological readiness and implementation, creating a strategic edge in global competition.

The project’s long-term goal is to establish, by 2030, a fully functional ecosystem of quantum-ready algorithms and tasks suitable for industrial-scale processors. Such readiness could allow Russia to secure an early leadership position in applied quantum computing.

Medical Frontiers

Medical applications make up a major share of Russia’s quantum portfolio. Quantum algorithms can significantly enhance molecular modeling, accelerating drug discovery by orders of magnitude compared with classical computation.

Researchers are especially focused on simulating protein interactions and genetic processes — areas where quantum processors have a natural advantage, as their operating principles mirror the quantum behavior of the systems they simulate.

Russian experts are also designing algorithms for personalized medicine based on genomic data analysis. Future quantum systems could process vast datasets to uncover complex links between genetic variations and disease susceptibility, paving the way for a new era of preventive, data-driven healthcare.

“We are working consistently and systematically to identify concrete applications for quantum computing across different sectors. Our pilot portfolio already includes seventeen projects, and we expect this number to grow to several dozen next year. The goal is that by 2030, when powerful quantum computers become available, we will be fully prepared to use them as customers and beneficiaries.”

Ekaterina Solntseva

Rosatom’s Director for Quantum Technologies

Engineering and Industrial Applications

On the industrial side, Rosatom’s quantum portfolio includes optimization problems critical to the nuclear sector. Quantum optimization algorithms can improve logistics, production scheduling, and supply chain management for highly complex operations.

Special attention is given to heat transfer modeling and materials science — areas where quantum computation has already shown early promise. Russian engineers have tested a heat transfer model using a 50-qubit quantum computer, marking the first recorded instance of applying quantum computing within the nuclear industry.

The portfolio also addresses cybersecurity and cryptography. Quantum technologies introduce a paradoxical challenge: they pose risks to classical encryption methods while simultaneously enabling next-generation, quantum-resistant security algorithms. Rosatom’s researchers are developing post-quantum encryption systems resilient to attacks from future quantum computers.

The Roadmap Ahead

By 2026, Rosatom aims to expand its portfolio to several dozen use cases covering the main application domains of quantum computing. Between 2028 and 2030, the corporation expects to begin testing its algorithms on industrial-grade quantum systems — yielding the first commercial prototypes.

Yet the path remains technically demanding. While 50-qubit systems mark a significant milestone, real-world applications will require hardware with hundreds or thousands of qubits. Rosatom’s success will depend on the synchronized development of both quantum hardware and software ecosystems. The Quantum Task Bank is designed to address the software side of this equation — ensuring a ready supply of tested, optimized algorithms once advanced processors are available.