mlsanityData to 14 Oct 2026

Hacking Cryptographic Protocols with Advanced Variational Quantum Attacks

arXiv 2311.02986 ↗First posted 6 Nov 2023quant-ph cs.CR cs.LGcited by 2

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Abstract (arXiv)

Here we introduce an improved approach to Variational Quantum Attack Algorithms (VQAA) on crytographic protocols. Our methods provide robust quantum attacks to well-known cryptographic algorithms, more efficiently and with remarkably fewer qubits than previous approaches. We implement simulations of our attacks for symmetric-key protocols such as S-DES, S-AES and Blowfish. For instance, we show how our attack allows a classical simulation of a small 8-qubit quantum computer to find the secret key of one 32-bit Blowfish instance with 24 times fewer number of iterations than a brute-force attack. Our work also shows improvements in attack success rates for lightweight ciphers such as S-DES and S-AES. Further applications beyond symmetric-key cryptography are also discussed, including asymmetric-key protocols and hash functions. In addition, we also comment on potential future improvements of our methods. Our results bring one step closer assessing the vulnerability of large-size classical cryptographic protocols with Noisy Intermediate-Scale Quantum (NISQ) devices, and set the stage for future research in quantum cybersecurity.

Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Builds on 7 of its 62 references that are in the map. First posted on arXiv 6 Nov 2023.

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7 of 62 references.

References · 7

  1. 2018Barren plateaus in quantum neural network training landscapescited by 630
  2. 2020Predicting Many Properties of a Quantum System from Very Few Measurementscited by 233
  3. 2020Noise-Induced Barren Plateaus in Variational Quantum Algorithmscited by 193
  4. 2021Connecting ansatz expressibility to gradient magnitudes and barren plateauscited by 180
  5. 2019Efficient Learning for Deep Quantum Neural Networkscited by 161
  6. 2021Provably efficient machine learning for quantum many-body problemscited by 91
  7. 2022Performance of surface codes in realistic quantum hardwarecited by 1

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