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Neutral atoms are a promising choice for scalable quantum computingarchitectures. Features such as long distance interactions and nativemultiqubit gates offer reductions in communication costs and operation count.However, the trapped atoms used as qubits can be lost over the course ofcomputation and due to adverse environmental factors. The value of a lostcomputation qubit cannot be recovered and requires the reloading of the arrayand rerunning of the computation, greatly increasing the number of runs of acircuit. Software mitigation strategies exist but exhaust the original mappedlocations of the circuit slowly and create more spread out clusters of qubitsacross the architecture decreasing the probability of success. We increaseflexibility by developing strategies that find all reachable qubits, ratheronly adjacent hardware qubits. Second, we divide the architecture into separatesections, and run the circuit in each section, free of lost atoms. Provided thearchitecture is large enough, this resets the circuit without having to reloadthe entire architecture. This increases the number of effective shots beforereloading by a factor of two for a circuit that utilizes 30% of thearchitecture. We also explore using these sections to parallelize execution ofcircuits, reducing the overall runtime by a total 50% for 30 qubit circuit.These techniques contribute to a dynamic new set of strategies to combat thedetrimental effects of lost computational space.

Reducing Runtime Overhead via Use-Based Migration in Neutral Atom Quantum Architectures