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Quantum Analysis of AES Lowering Limit of Quantum Attack Complexity

TLDR
This work presents the least Toffoli depth and full depth implementations of AES, thereby improving from Zou et al.
Abstract
. Quantum computing is considered among the next big leaps in the computer science. While a fully functional quantum computer is still in the future, there is an ever-growing need to evaluate the security of the secret-key ciphers against a potent quantum adversary. Keeping this in mind, our work explores the key recovery attack using the Grover’s search on the three variants of AES (-128, -192, -256) with respect to the quantum implementation and the quantum key search using the Grover’s algorithm. We develop a pool of implementations, by mostly reducing the circuit depth metrics. We consider various strategies for optimization, as well as make use of the state-of-the-art advancements in the relevant fields. In a nutshell, we present the least Toffoli depth and full depth implementations of AES, thereby improving from Zou et al.’s Asiacrypt’20 paper by more than 98 percent for all variants of AES. Our qubit count - Toffoli depth product is improved from theirs by more than 75 percent. Furthermore, we analyze the Jaques et al.’s Eurocrypt’20 implementations in details, fix its bugs and report corrected benchmarks. To the best of our finding, our work improves from all the previous works (including the recent Eprint’22 paper by Huang and Sun) in terms of Toffoli/full depth and Toffoli depth - qubit count product.

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Journal Article

Breaking the quadratic barrier: Quantum cryptanalysis of Milenage, telecommunications' cryptographic backbone

TL;DR: This paper conducts a quantum cryptanalysis for the Milenage algorithm set, the prevalent instantiation of the seven secret-key algorithms that underpin cellular security, and shows attacks that go beyond a quadratic speedup.
References
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Book

The Design of Rijndael: AES - The Advanced Encryption Standard

TL;DR: The underlying mathematics and the wide trail strategy as the basic design idea are explained in detail and the basics of differential and linear cryptanalysis are reworked.
Book

Quantum Computation and Quantum Information: 10th Anniversary Edition

TL;DR: Containing a wealth of figures and exercises, this well-known textbook is ideal for courses on the subject, and will interest beginning graduate students and researchers in physics, computer science, mathematics, and electrical engineering.
Posted Content

A fast quantum mechanical algorithm for database search

TL;DR: In early 1994, it was demonstrated that a quantum mechanical computer could efficiently solve a well-known problem for which there was no known efficient algorithm using classical computers, i.e. testing whether or not a given integer, N, is prime, in a time which is a finite power of o (logN) .
Journal ArticleDOI

Tight bounds on quantum searching

TL;DR: A lower bound on the efficiency of any possible quantum database searching algorithm is provided and it is shown that Grover''s algorithm nearly comes within a factor 2 of being optimal in terms of the number of probes required in the table.
Journal ArticleDOI

Grover’s quantum searching algorithm is optimal

TL;DR: It is shown that for any number of oracle lookups up to about {pi}/4thinsp{radical} (N) , Grover's quantum searching algorithm gives the maximal possible probability of finding the desired element.