  Neutral atoms are a promising choice for scalable quantum computing
architectures. Features such as long distance interactions and native
multiqubit gates offer reductions in communication costs and operation count.
However, the trapped atoms used as qubits can be lost over the course of
computation and due to adverse environmental factors. The value of a lost
computation qubit cannot be recovered and requires the reloading of the array
and rerunning of the computation, greatly increasing the number of runs of a
circuit. Software mitigation strategies exist but exhaust the original mapped
locations of the circuit slowly and create more spread out clusters of qubits
across the architecture decreasing the probability of success. We increase
flexibility by developing strategies that find all reachable qubits, rather
only adjacent hardware qubits. Second, we divide the architecture into separate
sections, and run the circuit in each section, free of lost atoms. Provided the
architecture is large enough, this resets the circuit without having to reload
the entire architecture. This increases the number of effective shots before
reloading by a factor of two for a circuit that utilizes 30% of the
architecture. We also explore using these sections to parallelize execution of
circuits, reducing the overall runtime by a total 50% for 30 qubit circuit.
These techniques contribute to a dynamic new set of strategies to combat the
detrimental effects of lost computational space.

Quantum Physics;Hardware Architecture;Emerging Technologies