Hybrid optimisation
Hardware-aware methods for routing, scheduling, allocation, and network design—with transparent comparison to strong classical solvers.
ACTIVE PROGRAMMESekoia Q-Lab / Applied research
Measure the frontier. Move it forward.
Q-Lab is Sekoia’s applied research practice. We investigate technologies with the potential to reshape computation—and build the evidence required to use them responsibly.
01 / CHARTER
We research toward use, not novelty alone.
Our programmes begin with problems that matter, measurable baselines, and explicit constraints. We publish methods and limitations so progress can be understood—not merely announced.
- Hardware-aware from the outset
- Reproducible by default
- Security and responsibility built in
- Classical excellence before quantum claims
02 / PROGRAMMES
Current research themes.
Quantum simulation
Resource-efficient approaches to molecular and materials problems, including embedding, active-space selection, and error-aware workflows.
ACTIVE PROGRAMMEReliable agentic systems
Evaluation, control, memory, and verification methods for AI agents operating across long-horizon enterprise workflows.
ACTIVE PROGRAMMECryptographic transition
Inventory, risk prioritisation, and migration patterns for organisations moving toward post-quantum security.
ACTIVE PROGRAMME03 / FIELD NOTES
Research, in the open.
Practical notes from work in progress. Technical publications will be listed with persistent identifiers when released.
RESEARCH NOTE 01
↗Benchmarking hybrid optimisation without moving the goalposts
Methodology / 12 min read
RESEARCH NOTE 02
↗A systems view of trustworthy enterprise agents
AI systems / 9 min read
TECHNICAL BRIEF 03
↗Crypto-agility as the first post-quantum control
Security / 7 min read
The research-note library is launching in phases. Request an advance copy from research@sekoia.site.
RESEARCH COLLABORATION
Work with Q-Lab.
We collaborate with universities, technology providers, and industry teams on clearly scoped research with shared evaluation standards.
research@sekoia.site ↗SEKOIA / START
Build what comes next.
Bring us the problem that does not fit neatly inside today’s technology stack.
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