This invention describes a system for running quantum computer programs more effectively. It works by taking a quantum program and information about various quantum computing resources, such as their error rates and current availability. Based on this data, it intelligently breaks the program into smaller tasks, assigns them to the most suitable quantum hardware, executes them, and then combines the results to produce the final output. The claims specifically focus on breaking down a quantum circuit into smaller blocks of operations, each applied to a subset of qubits, and using additional parameters to guide this task generation.
Why it matters: Since 2022, quantum computing hardware has scaled significantly, increasing the complexity and noise of available systems. This makes intelligent distribution of quantum workloads across multiple, error-prone nodes, as described, more critical for achieving practical quantum advantage.
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