Distinguishing Coherent Crosstalk from Calibration Drift via Pauli-Transfer Signatures and Quantum Edge Detection
quant-ph
Submitted: 2026-09-30
Updated: 2026-09-30
Comments: Accepted for publication in the 2027 IEEE International Symposium on Hardware Oriented Security and Trust (HOST 2027)
License: http://creativecommons.org/licenses/by/4.0/
The gist: Multi-tenant quantum processors expose a pulse-level attack surface in which coherent crosstalk can mimic benign calibration drift at matched average gate infidelity.
Terminology
Abstract
Multi-tenant quantum processors expose a pulse-level attack surface in which coherent crosstalk can mimic benign calibration drift at matched average gate infidelity. We present a structural verification and detection framework based on the residual Pauli transfer matrix (PTM). We prove that products of local unital, trace-preserving channels cannot mix weight-1 and weight-2 Pauli operators, even under coherent drift of arbitrary strength or axis. Building on established PTM-to-Hamiltonian relations, we prove that, for any specified qubit pair in an arbitrarily large system, the first-order map from its nine interaction coefficients to the antisymmetric cross-weight feature is an isometry up to scale. Thus, every interaction direction is locally observable near the identity. We also exhibit cancellation of this feature under large local rotations and prove that the full cross-weight norm is invariant under local unitary composition, providing a structural countermeasure. For calibrated small local rotations, shared randomized-Pauli measurements support periodic verification using the evaluated antisymmetric detector. In simulation, 16, 384 randomized settings yield a detection threshold of λ about0.13 at a 5% calibrated false-positive target, with approximately M-1/2 scaling in the number of settings M. Further experiments characterize detection under relaxation, depolarization, native ZZ fluctuations, and time-dependent pulse dynamics. Finally, an FRQI encoding with Pauli-graph quantum Hadamard edge detection reproduces the classical structural edge score to numerical precision.
Sources
- Pulse-to-Circuit Characterization of Stealthy Crosstalk Attack on Multi-Tenant Superconducting Quantum Hardware
- Error matrices in quantum process tomography
- Fast generation of Pauli transfer matrices utilizing tensor product structure
- Edge Detection Quantumized: A Novel Quantum Algorithm For Image Processing
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