Ukrainian-American startup Haiqu has introduced a new platform, HaiquOS, that should significantly simplify and speed up the work of researchers with quantum computers. The new system automates routine engineering tasks, allowing scientists to focus directly on experiments and save thousands of dollars on cloud computing.
Ukrainian-American startup Haiqu has introduced a new platform, HaiquOS, that should significantly simplify and speed up the work of researchers with quantum computers. The new system automates routine engineering tasks, allowing scientists to focus directly on experiments and save thousands of dollars on cloud computing.
The launch of the product was announced by the company's co-founder and CTO, Mykola Maksymenko. According to him, together with partner Richard Givan, they created a tool that he himself critically lacked during his work as a quantum researcher.
Maksymenko notes that in the past, quantum research (R&D) often meant months of infrastructure preparation before the actual work began. Any quantum experiment consists not only of algorithm execution, but also of problem formulation, model selection, circuit design, noise management, and process validation. Because of this, most of the researchers’ time was spent on the routine assembly of the technology stack, rather than on science.
Instead, HaiquOS is positioned as an operating system that independently adapts and forms the necessary technology stack for a specific application. The platform uses agentic workflows to form a task and optimize its execution on real quantum hardware.
The company has already tested the system in its own internal research and claims tangible results.
“Work that could take a strong PhD researcher months to complete is now prototyped and validated on hardware in a matter of days. Experiments that reportedly required tens of thousands of dollars in quantum cloud resources now run on our stack in seconds and cost less than $100,” notes Mykola Maksymenko.
As an example, the CTO cited his own recent experiment on reconstructing the inelastic neutron scattering spectrum on a quantum processor. Using HaiquOS, he was able to run 40 cycles of over 14,000 total operations in less than two minutes. This allowed him to stay within the limits of the typical free cloud budget provided to students.
Haiqu previously announced $11 million in funding in an investment round led by Primary Venture Partners.
