Researchmatrix product statesquantum mladversarial robustnesssuperconducting hardware
Matrix Product States Provide Robust Quantum Encodings
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8.1
A Jan. 14, 2026 arXiv preprint by Muhammad Usman introduces using Matrix Product State (MPS) representations to construct low-depth quantum circuits that encode classical data for quantum machine learning. The paper shows the approximate low-depth encoding preserves classification accuracy while increasing robustness to classical adversarial attacks. The authors demonstrate adversarially robust variational quantum classifiers on MNIST and FMNIST and report a small superconducting-device experiment.
Scoring Rationale
Novel, experimentally validated MPS encoding drives the score; limited by single arXiv preprint and pending peer review.
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