Quantum Workload Privacy Beyond Data Confidentiality
Shaunak Suresh Pawar, Samuel Punch, Krishnendu Guha
Abstract
Remote quantum computing exposes a confidentiality gap. Standard privacy mechanisms protect quantum states and outputs, but not the scientific structure of a workload. This work reveals that hardware-aware compilation leaves observable signatures, such as routing overhead, circuit depth, and gate composition, that correlate with hidden modelling choices like partial differential equation boundary conditions, discretisation scale, and molecular geometry. The leakage arises from the mismatch between logical topology and fixed hardware connectivity, forcing problem-dependent SWAP insertion. We formalise this threat as Scientific-Intent Indistinguishability and prove that passive security is asymptotically unachievable under routing-optimal compilation. Experiments on a 156-qubit IBM Heron processor achieve near-perfect classification of boundary regimes and molecular geometries, with leakage generalising across solver families via routing-scaling exponents. Conventional gate-padding fails as a defence, causing fidelity drops without reducing adversarial advantage. Our results show that protecting quantum data alone is insufficient; execution-level confidentiality must become a first-class design requirement.
Create a lesson
Related papers
A Novel Space-Time Coding Architecture for Rydberg Atomic Quantum Receiver-Based Systems
Asifa Zannat, Milad Abolpour, Dani Korpi et al.
Dictionary-Guided Mutation Operators for Automated HDL Repair
Maisha Mastora, Dean Sullivan
Collision-based logic in Lenia and its composition boundary
Chakshu Gupta
FALCON: Fault-Tolerant Magnetic Tunnel Junction-Based In-Memory Stochastic Architecture for Reliability-Critical Edge AI Applications
Farzad Razi, Mehran Moghadam, Sercan Aygun et al.
Trustless Accountable Data Sharing for Supply Chains: A Reference Architecture and MoreMedDiet Proof-of-Concept
Michal Kit, Montassar Naghmouchi, Maryline Laurent et al.
Emergent Behavior and Uncertainty in IoT-Enhanced Business Processes: Challenges and Future Directions
Marco Pegoraro, Sara Pettinari, Ivan Compagnucci et al.