Quantum Workflows,
Simplified
Spinorio is a quantum IDE and research workspace built on JupyterLab, providing a cloud-based quantum development environment for building, simulating, and running quantum applications.
Expected Release: August 2026
Request Early Access
A quantum-aware workspace for quantum research
Spinorio adds a quantum-aware inspection layer inside JupyterLab, capturing and structuring workflow information as users build, transpile, simulate, and execute quantum programs. Develop quantum applications in a cloud-based, JupyterLab-powered workspace with preinstalled quantum SDKs, including Qiskit, PennyLane, Braket, and TKET. Spinorio provides an integrated environment for writing, running, and managing quantum code across circuits, backends, simulations, jobs, parameters, and experiment outputs.
Quantum Intelligence
Quantum Workflow Intelligence for Inspection, Tracking, Benchmarking, and Reproducible Execution
Quantum Experiment Tracker
Every execution in Spinorio becomes a first-class object called an Experiment. It captures the full context of a quantum run including circuit, parameters, backend, transpilation steps, and results in a structured form. This allows users to track, compare, and reproduce quantum computations across different runs and configurations inside a single workspace.
Quantum Workflow Inspection
Spinorio captures and structures quantum workflow information throughout execution in the JupyterLab environment, extracting rich context from circuits, backends, transpilation, and results. It goes beyond raw SDK outputs by connecting and enriching workflow data across stages and SDKs. It also computes derived quantum metrics that are not directly provided by SDKs, turning low-level execution data into an interpretable and unified view of the quantum workflow.
Quantum Benchmark Workflow
Spinorio enables researchers to benchmark quantum optimization algorithms against standardized problem instances inside Spinorio Lab. It automates execution, validates returned solutions, captures performance metrics, and compares results across algorithms, SDKs, simulators, and hardware backends. Each run becomes a structured benchmark record for evaluating solution quality, runtime, resource usage, and experimental context.
Build, inspect, and execute quantum workflows, from circuit design to backend-ready results, in one quantum-aware workspace.
From Circuit Design to Backend-Ready Results
Quantum Circuit Intelligence
Spinorio enhances circuit design by analyzing quantum circuits at a structural level as they are created in JupyterLab, extracting key properties beyond standard SDK outputs. It reveals entanglement structure, depth and trainability tradeoffs, two-qubit gate concentration, and structural redundancy, helping users understand efficiency and hardware impact before execution. For parameterized circuits, it provides early indicators of parameter sensitivity, making circuit behavior more predictable and easier to optimize.
Backend-Aware Transpilation
Spinorio captures how quantum circuits are transformed during execution and connects these transformations with their originating circuits and execution context. This provides a unified view of how compilation decisions and backend constraints impact the final runnable quantum workflow.
Execution & Results Inspection
Spinorio captures execution events, including simulation and backend runs, and connects results back to their originating circuits and transpilation history. This enables a continuous and reproducible quantum workflow across experiments, parameters, and backends.
Spinorio Lab · Quantum Research Workspace
Accelerate Quantum R&D
Spinorio is a cloud-based Quantum IDE & Research Workspace designed to help researchers move faster from ideas to executable quantum experiments. Through Spinorio Lab, it brings quantum development, circuit analysis, job monitoring, workflow inspection, experiment tracking, and benchmark execution into a unified environment.
This reduces setup complexity, improves reproducibility, and helps teams build, test, compare, and refine quantum workflows with greater speed and structure.
Learn More
QuantumClass™
Learn Quantum Programming
QuantGates has trained professionals, students, and researchers from major organizations such as Barclays and Accenture, top universities including Yale, UC Berkeley, and the University of Illinois, and national laboratories such as the National Energy Technology Laboratory and the Pacific Northwest National Laboratory.
Learners Trained
Practical Quantum Computing
Universities & Organizations
Participants from
Trusted by Researchers and Professionals from Leading Global Universities and Companies
