Learning dynamics
Classical reservoirs, quantum features and the finite horizon of prediction.
Explore RC & QRCInvestigating quantum reservoir computing, quantum machine learning and quantum-enhanced HPC for systems that change over time.
HPQC Research Institution
A question worth testing:
How far can we learn to anticipate
a complex system?
Classical reservoirs, quantum features and the finite horizon of prediction.
Explore RC & QRCThe 156-qubit scaling study and the topological QRC no-go preprint.
Enter the reading roomFinancial time series, biosignals, energy systems, flow and hybrid HPC.
Explore the applicationsA proposed weather protocol, synthetic interface and inspectable classical airflow.
Read the study designExplore a question. Compare a scenario.
Follow every value back to its source.
Illustrative data only. These are synthetic scenarios, not real forecasts, observations or QRC results.
Eastern Norway
9.0°C
Reference scenario
A synthetic value for exploring the research interface.
Illustrative locations, not verified weather stations. No forecasts, observations or QRC model runs. Values and differences demonstrate the interface only.
| Lead | Valid time (UTC) | Reference | Experimental | Difference |
|---|---|---|---|---|
| +0 h | 01 Oct, 00:00 | 9.40 | 9.40 | 0.00 |
| +6 h | 01 Oct, 06:00 | 11.09 | 11.48 | 0.39 |
| +12 h | 01 Oct, 12:00 | 9.18 | 9.85 | 0.67 |
| +18 h | 01 Oct, 18:00 | 7.28 | 8.02 | 0.75 |
| +24 h (selected) | 02 Oct, 00:00 | 8.97 | 9.58 | 0.61 |
| +30 h | 02 Oct, 06:00 | 10.66 | 10.96 | 0.30 |
| +36 h | 02 Oct, 12:00 | 8.75 | 8.65 | -0.10 |
| +42 h | 02 Oct, 18:00 | 6.84 | 6.37 | -0.47 |
| +48 h | 03 Oct, 00:00 | 8.54 | 7.83 | -0.70 |
| +54 h | 03 Oct, 06:00 | 10.23 | 9.49 | -0.74 |
| +60 h | 03 Oct, 12:00 | 8.32 | 7.77 | -0.55 |
| +66 h | 03 Oct, 18:00 | 6.41 | 6.20 | -0.21 |
| +72 h | 04 Oct, 00:00 | 8.10 | 8.30 | 0.19 |
Explore the selected data, compare scenarios and sketch a validation study. Each answer keeps the context you asked about.
Deterministic local responses. Synthetic data. Proposed methods. No live weather or model inference.
DEMO MODE · Scripted responses, with no AI inference. Messages and selected synthetic context are sent to this site’s server. This demo has no saved conversation history. Synthetic data is not a weather forecast.
A working interface for a proposed study. The values are synthetic, the locations are illustrative, and no forecasting model has been executed.
A quantum reservoir is one part of a hybrid system. Its value must be tested against strong classical alternatives, with the same information, careful validation and a complete account of cost.
Investigate whether reservoir dynamics provide useful temporal features. Distinguish simulated circuits from quantum hardware measurements. Input encoding, washout, replay, shots and measurement all contribute to cost.
Four of Mike’s car concepts, each with its own computational geometry and Mojo flow result. Choose a design, inspect its Gmsh mesh and replay the computed airflow. The QRC comparison remains to be run.
Explore the fluid-dynamics studyComputational counterparts of earlier car designs.
Computational counterparts of earlier designs. Each selection loads its own Gmsh mesh and computed flow.
Design reference above. The numerical view uses this car’s own mesh and saved flow results.
How does uncertainty at the smallest scales relate to the unpredictability of the world we observe?
Our mission is to investigate dynamics at the Kolmogorov dissipation scale and the possible links between microscopic quantum uncertainty and macroscopic dynamics. The connection is a research question, with mechanisms and limits to establish.
Read the research missionQuantum uncertainty, chaotic sensitivity and uncertainty in measurements or models describe different things. A credible study must tell them apart.
Prediction is a question.
Advantage is something to measure.