Quantum computing's shift to cloud-based services has introduced a new challenge: maintaining routing anonymity in the face of noisy hardware. Researchers have found that finite-shot outputs from these systems can inadvertently reveal backend-specific details, such as implementation choices or physical device identities, due to unique fingerprints in the classical output distribution1. This vulnerability stems from the inherent noise present in current quantum hardware, which can be exploited to identify specific devices or configurations. As a result, service providers may inadvertently expose sensitive information about their proprietary systems. The identifiability of noisy quantum hardware has significant implications for the security and trustworthiness of cloud-based quantum computing services. So what matters to practitioners is that this vulnerability can be leveraged by malicious actors to compromise the integrity of quantum computations, highlighting the need for robust anonymization techniques to protect sensitive information.