Without Haiqu AgenticOS
- 3 of 5 runs ignored explicit instructions
- Geometry drifted from what was asked
- 5 runs, 5 different answers
Result
Failed
The first agentic OS
for Quantum R&D teams
is here
What took your team weeks now takes hours, as specialized AI agents investigate, build, test, and run quantum experiments end-to-end, visible and verifiable at every step.
A team of scientific agents at each stage, built so no step goes unchecked.
Every stage produces something you can inspect, version, and test, so nothing you didn’t approve quietly carries forward.
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01
Start with what you know
Start from a research question, papers, data, or an existing idea. Haiqu AgenticOS helps clarify the objective, constraints, success criteria, and the research needed to test it.
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02
Turn your question into a verifiable research graph
Haiqu AgenticOS structures the work into a graph where each node is a team of specialized AI agents, showing dependencies, decisions, artifacts, and where the investigation branches or loops back.
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03
Inspect, steer, and verify the work.
Review artifacts, comment on assumptions, redirect modules, approve critical decisions, and verify results before downstream work continues.
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04
Ground every module in real knowledge
Haiqu AgenticOS reads from a deployed knowledge base of quantum theory, algorithms, and industry use cases, alongside the project’s own accepted decisions and artifacts as work proceeds.
A better research system beats a bigger model.
Haiqu AgenticOS, running on a smaller model, produced a verified result, while even standalone attempts on a larger model still silently changed the experiment.
With Haiqu AgenticOS
- Followed instructions exactly
- Geometry matched the intended path
- Quantum method (SQD) beats classical methods
SQD barrier
555 meV
FCI reference
574 meV
Plausible output is not enough. The experiment has to stay validated.
Read the case studyWhy general-purpose AI breaks down
01 · Early divergence
A small mistake can change the experiment.
Source: Rahman et al., arXiv:2609.17930
02 · Context loss
Long projects lose the thread.
Source: Wang et al., arXiv:2604.11978
03 · Error propagation
One unchecked error becomes many.
Source: Zhan et al., arXiv:2601.22984
Serious research needs more than intelligence at each step. It needs continuity across the whole investigation.
More frontier runs
Built on Frontier Quantum Research
From live many-body hardware experiments to novel optimization algorithms, Haiqu AgenticOS is designed to turn difficult research ideas into structured, reviewable programs of work.
Many-body physics
Haiqu AgenticOS cut circuit depth by 75.1% for a frustrated doped Hubbard model on IBM Phoenix
Krylov Quantum Diagonalization on a 3×3 lattice with diagonal hopping
View KQD hardware case study →
Quantum optimization
Haiqu AgenticOS cut the population-based optimization gap by 60% in a 100-qubit simulation
Population-based optimization workflow, simulated at 100-qubit scale
View DCA case study →Curious to learn more?
Book an intro call
with Sam Kearney, Head of Growth, we’ll confirm your maturity stage, target application area, and success criteria.
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