Documentation Index
Fetch the complete documentation index at: https://docs.haiqu.ai/llms.txt
Use this file to discover all available pages before exploring further.
The job table lists key execution metrics for each run.
QPU Quality
The QPU Quality metric measures how closely the results produced by the QPU match those obtained from classical simulation. This comparison provides an indication of solution fidelity and execution accuracy.
QPU Quality evaluation is currently supported for circuits using fewer than 20 qubits, where classical simulation remains computationally feasible.
QPU Cost
The QPU Cost metric represents the total quantum processing cost associated with executing the job on quantum hardware. Costs are estimated before the run based on factors such as hardware usage time, circuit complexity, and provider-specific pricing models. After the run concludes, the costs are updated to reflect actual usage.
CPU Time
The CPU Time metric captures the classical compute time used for pre-processing and post-processing tasks associated with the job. This includes operations such as compression, transpilation, mitigation, optimization, and analysis.
CPU Time is charged in Haiqu credits.
