The Haiqu Dashboard provides a central view of your quantum computing activity, available resources, experiments, and hardware. From here, you can quickly understand your current usage, access recent work, and identify available quantum devices. Your API key for connecting the Haiqu SDK and running workloads programmatically is also accessible from the upper-right corner of the dashboard.At the top of the dashboard, the Compute Execution Summary shows your available and consumed Haiqu compute hours. These hours include classical pre-processing and post-processing compute used to enhance your execution on quantum hardware. The overview also summarizes the number of experiments and jobs associated with your account, including how many jobs have finished, are currently running, or have failed. This provides a quick snapshot of both resource consumption and execution activity.The Public Experiments section provides access to experiments shared through the Haiqu community. Experiment cards include a preview and description, making it easy to discover example workflows and explore how other users are applying Haiqu. You can switch between Public experiments and experiments Shared with me to access work shared directly with your account.The Devices section provides an overview of quantum hardware available through Haiqu. For each device, the dashboard displays information such as the provider, processor type, number of qubits, current status, queue, quality metrics, pricing information, and recent load. This makes it easier to compare available backends and select an appropriate device before submitting a workload.The navigation menu on the left provides direct access to Jobs, Experiments, Devices, Haiqu Lab, usage analytics, error-correction resources, documentation, GitHub examples, pricing, and other platform resources.
The Experiment page provides a central workspace for organizing, analyzing, and sharing the results of runs. The experiment description can be used to highlight the main findings. Supporting Artifacts are collected below the main result and can include pipeline diagrams, source data, intermediate outputs, and individual execution results. Together, these artifacts can be added to the description to provide context needed to understand how the experiment was performed and compare results across different configurations.
The Circuits Table provides a detailed comparison of the circuits associated with an experiment, including both the original circuits and their transformed or transpiled versions. For each circuit, the table shows its source and target device alongside key resource metrics such as estimated fidelity, active qubits, circuit depth, and gate counts, with separate values for two-qubit operations. Related circuits are visually connected, making it easy to compare a source circuit with its modified implementation and understand how compilation or Haiqu optimizations affect circuit size, complexity, and expected performance. Circuits can also be searched, filtered, downloaded, or opened for more detailed inspection.
The Experiment Jobs view provides a centralized overview of all jobs within an experiment. Each row summarizes key execution information, including the job configuration, status, job type, backend, creation time, QPU quality, CPU processing time, and QPU cost. This makes it easy to compare different configurations and understand their impact on solution quality, runtime, and hardware cost. Jobs can be searched, filtered by type, status, or backend, and sorted to quickly identify relevant runs. Additional controls provide access to job-specific results and details, while the experiment data can also be downloaded for further analysis.
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