QAISS is building a neutral quantum-AI coordination layer. Follow the public roadmap and verify every claim.

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.

02 · Research

Research on noisy hardware

Open research on today’s noisy machines. No practical advantage over the best classical methods has been demonstrated.

03 · Later

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.

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.

  1. 01ProblemA real question from the sector, stated precisely.
  2. 02Classical baselineThe best classical answer first. Always.
  3. 03Hybrid runSimulator, GPU or authorised QPU, through one connector.
  4. 04PassportCircuit, seed, noise and outputs, hashed.
  5. 05RegistryAnchored so anyone can recheck it offline.
  6. 06ReviewPublished with limits and negative results.

What we do not claim

No track claims a quantum advantage, a production saving, a medical benefit, a financial return or a security guarantee.

Release notes

Engineering updates,
not hype.

Research drafts, releases, and every change to a public claim. No price talk.

Subscriptions open once the project publishes its privacy policy and mailing endpoint.