quant-ph · 2026-07-16 · No. 55
Quantum Physics, 2026-07-16.
2 new papers in quant-ph. Titles, authors,
abstracts. Links to arXiv. Want this in your inbox every morning? Subscribe →
01 — The papers
2 entries-
01
Quantum Topological Data Encoding
Adam Wesołowski, Dimitrios Thanos, Daniel Leykam, Lirandë Pira
quant-ph · cs.LG
Many datasets encountered across a wide range of domains possess rich geometric and topological structure that is difficult to capture using conventional vector-based representations. Quantum machine learning offers the possibility of processing high-dimensional data in Hilbert spaces, but its practical success depends critically on how classical data is encoded into quantum states. We introduce \emph{quantum topological data encoding}...
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02
Towards quantum machine learning for assessing the resilience of post-quantum cryptography
Jarosław A. Miszczak
quant-ph · cs.CR · cs.LG
The potential capabilities of quantum computers motivated the development of cryptographic protocols suitable for securing communication against adversaries with access to large fault-tolerant quantum computers. However, even though current quantum computers are limited in terms of size and precision, they can still be useful for finding loopholes and weaknesses in the post-quantum cryptographic protocols. In this work, we present an attempt...
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