Quantum Computing Is an Orchestration Problem: I Built a Multi-Provider Scheduler and Measured What the Textbooks Only Describe
On the same IBM quantum processor, on the same afternoon, the same two-qubit circuit took 2 seconds to run and 61 minutes to reach the front of the queue — a queue-to-execution ratio of 1822:1 . For every second of actual quantum computation, the user waited more than half an hour in line. The quantum part was never the bottleneck. The scheduling was. TL;DR. Quantum computers are now cloud…
Quantum computers have long been confined to laboratory settings, but today they are accessible as cloud resources. When submitting a quantum circuit, users wait in a shared queue behind others attempting to access the same machine. The queue latency, backend availability, fallback mechanisms, and provider selection are often treated as minor issues in literature.
To shed light on these real-world challenges, the author built Quantum Orchestrator, an open-source multi-provider scheduler that supports IBM, AWS, and IonQ quantum processors. By measuring the queue time, execution time, and fidelity of quantum computations across different providers, the author demonstrated that the scheduling of computations dominates the overall performance, rather than the actual quantum computation itself.
The scheduler autonomously selects the best available backend, considering availability, cost, and result quality, ultimately reaching the ground-state energy of H₂ with chemical accuracy. The article highlights the importance of treating quantum access as an engineering problem, focusing on scheduling, routing, instrumentation, and honest error bars.
Written by urgent.news from Dev.to's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
