Simulation of superconducting erasure qubits using post-selection

Erasure-based qubits enable the detection of error events, providing a promising pathway toward error-aware quantum computation. We investigate superconducting erasure qubit systems composed of Dimons allowing the detection of T1 relaxation events. Using a dedicated simulator of a superconducting erasure-based quantum computer, we model the use of erasure detection as a post-selection mechanism. This approach allows us to explore algorithmic performance improvements at the cost of runtime incorporated into quantum workloads. In addition, we use this simulator to analyse noise propagation and the performance of quantum error-correction primitives, offering insights into how erasure-aware architectures can enhance the reliability of near-term superconducting platforms. This small scale and accurate benchmarking helps to inform resource estimation of simulation at scale.