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Optimization, feature extraction and agents, as services

QUBO and HUBO solvers, quantum feature extraction for tabular data, and an AI agent that turns a plain-language use case into a working quantum solution. Start free on the Kipu Quantum Hub.

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  1. L3

    Applications

    flow management · predictive maintenance · anomaly detection

  2. L2OptimizationMiray · Illay · IskayQUBO and HUBO solversL2Feature extractionRimay · HukNew features from tabular dataL2AgentsPaqariFrom a plain-language use case

  3. L1

    Orchestration

    SDKMCPqhubctlREST APIdata poolsclassical computeobservability

  4. L0

    Hardware

    IBMAWSIQMIonQQuEraRigettiQuandela

Optimization

QUBO and HUBO solvers for hard combinatorial problems, from a free simulator to IBM quantum hardware.

A cost landscape for a 128 candidate solution problem with seven variables. Cost runs up the vertical axis, the candidate solutions run along the horizontal axis with one-flip neighbours side by side. The curve is jagged, with many local valleys. A marked point sits at the lowest valley, labelled 0100010, cost -1.006.
Learn more about Kipu Optimizers

Feature extraction

Quantum feature extraction re-presents your tabular data, giving existing models new headroom.

One row through three stages labelled input data, Rimay and output data. Input data holds nine grey column strips, one per feature. Rimay holds a three by three lattice of nine grey ringed sites joined by faint grey links, with a single gold path snaking through every site. Output data holds seventeen columns: nine grey ones, one per feature, then eight gold ones labelled feature pairs.
Learn more about Rimay

Agents

Describe your problem in plain language and let an agent build the quantum solution.

All services in one marketplace

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