Programming quantum computers remains a significant challenge, largely due to the entirely new and often unexplored computational paradigm. This difficulty positions quantum program development squarely in the domain of scientific exploration rather than routine engineering. This talk outlines our methodology for transitioning quantum programming toward a scalable engineering discipline. We are achieving this shift by developing specialized tools that automate complex aspects of quantum circuit generation. These tools incorporate proprietary algorithms and leverage the power of machine learning for advanced code analysis. Specifically, they are designed to convert the logic and constraints of classical programs into efficient, runnable quantum programs. This automated translation drastically lowers the barrier to entry by abstracting away the intricacies of low-level quantum mechanics. Our work aims to accelerate the quantum software development lifecycle. Ultimately, this approach will enable developers to focus on application logic, making quantum computing more accessible for real-world solutions.

1. It is hard easy to program quantum
computers!
DSC Europe 25
Belgrade, Serbia
November 19, 2025
Petar Korponaić
Quantastica Oy, Finland
petar.korponaic@quantastica.com

2. Quantum computer is… different
=

3. And quantum software too
=

4. List of promising quantum algorithms is short
● Grover’s search
● Shor’s factoring
● QPE
● VQE
● QAOA
● …

5. Usually not optimal for particular business case

6. It would be useful to convert
classical program to quantum…
?

7. Robots to the rescue!

8. Step 1: generate examples

9. Step 2: encode data into state vectors

10. Step 3: generate quantum circuit

11. Step 4: Prepare for scaling up

12. Step 5: Scale up to 100’s of Qubits

13. Results
More details here: quantastica.com/generator
● Scaling to 100’s of qubits
● Scientific paper by ORNL arXiv:2008.08763 (see ref. [24])
● Solved IBM Quantum Challenge (in 12 seconds) Video
● Available as Web-based SaaS and Python API
● Small scale version available to 5000 users for free

14. Screenshot: input is classical program
Available at: quantum-circuit.com

15. Screenshot: result is quantum program
Available at: quantum-circuit.com

16. Screenshot: Exported to Qiskit and executed
Available at: quantum-circuit.com

17. Our approach
● Engineering, not scientific task
● Similar to machine learning
● Hope to reach quantum advantage

18. Let's Solve the Hard Problems, Together.
● Do you face computationally challenging problems?
● We are looking for strategic partners for joint quantum application projects.
● Let’s explore a proof-of-concept using your real-world data.
● Share your hardest computational challenge with me after this talk.

19. Thank you!
Lapinlahdenkatu 16 C, 00180 Helsinki, Finland, EU
Contact person: Petar Korponaić
info@quantastica.com
https://quantastica.com