The Platform for
Quantum R&D

Spinorio brings AI-powered quantum compilation and connected workflow management into quantum R&D, optimizing circuits with learned compilation policies and preserving the full experiment record from circuit lineage to hardware results.

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Spinorio Compiler

An AI-powered quantum compiler for any hardware.

Spinorio Compiler uses AI-powered compilation intelligence to automate device-specific decisions across synthesis, mapping, routing, and optimization. Before each compilation, it combines the circuit with the latest calibration data from the target hardware, allowing its decisions to adapt as device conditions change. This reduces manual tuning and helps produce more reliable, hardware-appropriate compilation outcomes.

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Adaptive compilation intelligence

Spinorio combines learned compilation policies with fresh hardware calibration data, allowing compilation decisions to adapt to each circuit and to changing processor conditions.

Adaptive compilation

Compilation decisions adapt to each circuit and the changing state of the target processor.

Circuit structure and freshly fetched calibration data are considered together when selecting and sequencing synthesis, mapping, routing, and optimization actions. As device conditions change, the compiler can choose a different compilation path.

Gate errors, durations, coherence, readout performance, and other device characteristics are incorporated into candidate evaluation, helping prevent compilation decisions from depending on hardware conditions that may have changed since model training.

Training spans different algorithm families, circuit widths and depths, connectivity patterns, and two-qubit densities. Policies are evaluated on unseen workloads before being promoted for production use.

Spinorio maintains models for supported IBM processors and uses backend intelligence to identify suitable targets available through the user’s IBM Quantum service. Compilation remains specific to the selected processor and optimization objective.

Spinorio Workflow

A complete record of the quantum experiment.

Spinorio Workflow automatically captures and connects logical circuits, compilation states, job submissions, and results as you work in your notebook. Compare structural metrics across circuit states, follow compilation lineage, and trace each result back to the exact circuit state and execution context that produced it.

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Quantum workflow tracking

Spinorio preserves the relationship between circuit states, compilation artifacts, hardware execution, and results so each experiment can be inspected as a connected record.

Logical circuits

Inspect circuit structure and compare versions, with metrics tied to each immutable circuit state.

Spinorio automatically captures circuit versions, preserving their structure, experiment context, and structural metrics. Each state has its own profile covering circuit size, depth, program communication, critical depth, entanglement ratio, parallelism, liveness, and measurement behavior. Compare states to see how your circuit changes during development and compilation.

Spinorio automatically links captured transpiled circuits to their source states, preserving available qubit mappings, backend context, and compiler metadata. Compare input and transpiled structural profiles and inspect compilation quality through gate counts, total and two-qubit depth, and compilation time. Estimated execution duration, expected fidelity, and idle-adjusted success estimates are included when the required data is available.

Spinorio links hardware jobs to the circuit state submitted for execution and preserves provider job identity, backend, execution status, timing, run metadata, and available calibration context. Historical jobs therefore remain interpretable even after the live backend state changes.

Spinorio keeps result records connected to their hardware job and circuit lineage so measurements, output metadata, comparisons, and later analysis can be interpreted in the context of the exact experiment that produced them.

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The interactive quantum education platform

QuantumClass is used for learning and practicing advanced quantum computing by professionals, students, and researchers from leading companies, universities, and national laboratories, including Barclays, Accenture, Yale, UC Berkeley, the University of Illinois, the National Energy Technology Laboratory, and Pacific Northwest National Laboratory.

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