Qoro Quantum Platform Docs
Technical documentation for the Qoro Quantum suite: what each component does, how the components connect, and how a quantum workload moves from a Python program to a simulator or a QPU in each deployment. It is the engineering counterpart to enterprise.qoroquantum.net. For API-level detail, each component links to its own reference documentation.
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GPU and QPU access are open to every account on Qoro’s cloud. Sign up at dash.qoroquantum.net, and the same Divi program can run on CPU or GPU simulators, or on IBM, IQM, and AWS Braket hardware using your own vendor credentials. No licence or hardware setup is needed.
The stack at a glance, system architecture, and deployment options (Solo, Maestro Enterprise, Dedicato).
Python SDK that turns problems into batches of circuits and runs them in parallel.
Scheduling and execution layer that gets jobs onto simulators and QPUs and makes bulk execution decisions.
High-performance quantum simulator with CPU and GPU engines, many simulation methods, and noise models.
Connectors that compile and run circuits on IBM, IQM, and AWS Braket hardware.