Context Aware, Resource Conditioned and Mid-Circuit Benchmarking of Neutral Atom Quantum Processors

Neutralatom quantum processors offer exceptional scalability and flexible connectivity, but their computational performance is fundamentally shaped by constrained control, readout, and feedback resources. In these systems, gate performance depends sensitively on spatial geometry, motional dynamics, laser noise, and circuit history. A simple but generic example is an atom that moves between distinct gate regions, such that successive applications of the same logical gate to the same qubit occur at different spatial locations and therefore implement physically different operations. This challenges conventional benchmarking approaches that assume fixed, contextindependent calibrated gates, while discarding consideration of specific correlations associated with the quantum circuit within which the gates are executed.

In this work, we reinterpret recent advances in contextaware, realtime calibration as a framework for resource-aware quantum benchmarking tailored to neutralatom arrays.

By dynamically adapting pulselevel implementations of quantum operations based on the execution context and available classical control resources, benchmark outcomes can be understood as conditional quantities rather than intrinsic device properties. From this perspective, static benchmarks may miss the performance variations and tradeoffs that arise in regimes involving midcircuit operations, atom motion, and timedependent noise. This viewpoint motivates benchmarking protocols that explicitly specify allowed control, feedback, and adaptation resources, and establish contextconditioned calibrationintheloop execution as a critical primitive for validating quantum advantage on large-scale neutralatom platforms.