Research & industry tracks
Where quantum could matter. Measured, not assumed.
10 tracks across 10 sectors. Each states the problem, the classical baseline it must beat, when it could realistically pay off, the published literature, and what you can run today. None claims a quantum advantage.
- Research tracks
- 10
- Useful today
- 4
- Sectors
- 10
- Peer-reviewed & arXiv sources
- 21
Horizon map
When could each track actually pay off?
An honest timeline. Some tracks are valuable today without any quantum hardware. Others are open research on noisy machines. A few likely need fault-tolerant computers that do not exist yet. The placement follows the literature cited on each track.
Useful today
Valuable now on classical computers and simulators. No quantum hardware needed for the value to be real.
Research on noisy hardware
Open research on today’s noisy machines. No practical advantage over the best classical methods has been demonstrated.
Fault-tolerant era
Useful scale is expected to need error-corrected (fault-tolerant) quantum computers that do not exist yet.
All tracks
10 tracks, 10 sectors.
Filter by horizon. Every card leads to the problem, the baseline, a step-by-step workflow on QAISS, the sources, and a demo where one exists.
- TRACK 01Education
Quantum algorithm education
Learn by running real circuits on clearly-labelled simulators.
Read the track - TRACK 02Research infrastructure
Reproducible simulation & benchmarking
Compare backends with full environment metadata.
Read the track - TRACK 03Chemistry & materials
Molecular & materials research
Explore variational methods against classical chemistry baselines.
Read the track - TRACK 04Finance
Portfolio optimization & risk-model research
Research QAOA-style formulations with classical solvers alongside.
Read the track - TRACK 05Logistics & operations
Scheduling & logistics optimization
Benchmark hybrid heuristics on routing and scheduling instances.
Read the track - TRACK 06AI & machine learning
Machine-learning experimentation
Study quantum kernels and QNNs with honest baselines.
Read the track - TRACK 07Energy
Energy & smart-grid optimization
Explore unit commitment and grid-scheduling formulations.
Read the track - TRACK 08Science & climate
Weather & scientific simulation research
Investigate where quantum subroutines could fit scientific pipelines.
Read the track - TRACK 09Quantum software
Quantum software testing & portability
Write once, validate against many backends.
Read the track - TRACK 10Security
Post-quantum security awareness & migration
Plan cryptographic migration — the “security” in QAISS.
Read the track
No tracks in this horizon.
Method
How a track turns into evidence.
The same six steps for every sector. The platform’s job is to make each step reproducible, so results can be compared across simulators, GPUs and quantum hardware — and so negative results count too.
- 01ProblemA real question from the sector, stated precisely.
- 02Classical baselineThe best classical answer first. Always.
- 03Hybrid runSimulator, GPU or authorised QPU, through one connector.
- 04PassportCircuit, seed, noise and outputs, hashed.
- 05RegistryAnchored so anyone can recheck it offline.
- 06ReviewPublished with limits and negative results.
What we do not claim