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Lecture notes in computer science

Improved Quantum Circuits for AES: Reducing the Depth and the Number of Qubits

Qun Liu, Bart Preneel A, Zheng Zhao, Meiqin Wang

Published Jan 1, 2023• 29 citations
Publisher
DOI
10.1007/978-981-99-8727-6_3

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An efficient quantum implementation of the advanced encryption standard (AES) is crucial for reducing the complexity of implementing an exhaustive key search through Grover’s algorithm. In this paper, we study how to construct resource-efficient quantum circuits for AES. We consider the product of T-gates depth and width (TDW) and the product of full depth and width (FDW) as optimization targets. We propose a generic method, called the controlled control qubit cascade (CCQC) technique, to construct quantum circuits for nonlinear components with reduced TDW and FDW. Using this, we construct a quantum circuit for the AES S-box. Compared with recent work presented at ASIACRYPT 2023, our S-box quantum circuit achieves reductions of 2.3% in TDW and 45.2% in FDW. Additionally, we propose a new key schedule strategy to reduce the full depth of the AES quantum circuit. Finally, the trade-offs between T-gates depth and width and the parallel numbers of S-box and TDW are analyzed.
Our work explores the key recovery attack using the Grover's search on the three variants of AES (-128, -192, -256). In total, we develop a pool of 26 implementations per AES variant (totaling 78), by taking the state-of-the-art advancements in the relevant fields into account. 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 97 percent for each variant of AES. We show that the qubit count - Toffoli depth product is reduced from theirs by more than 87 percent. Furthermore, we analyze the Jaques et al.'s Eurocrypt'20 implementations in detail, fix the bugs (arising from some problem of the quantum computing tool used), and report corrected benchmarks (which seem to improve from the authors' own bug-fixing, thanks to our architecture consideration). To the best of our finding, our work improves from all the previous works (including the Asiacrypt'22 paper by Huang and Sun, the Asiacrypt'23 paper by Liu et al. and the Asiacrypt'24 paper by Shi and Feng) in terms of various quantum circuit complexity metrics. To be more precise, we estimate the currently best-known quantum attack complexities for AES-128 ( 2 156.2630 ), AES-192 ( 2 221.5801 ) and AES-256 ( 2 286.0731 ). Additionally, we achieve the least Toffoli depth - qubit count product for AES-128 ( 121920 , improving from 130720 by Shi and Feng in Asiacrypt'24), AES-192 ( 161664 , improving from 188880 by Liu et al. in Asiacrypt'23) and AES-256 ( 206528 , improving from 248024 by Liu et al. in Asiacrypt'23) so far. We further investigate the prospect of the Grover's search. We propose four new implementations of the S-box, one new implementation of the MixColumn; as well as five new architecture (one is motivated by the architecture by Jaques et al. in Eurocrypt'20, and the rest four are entirely our innovation). Under the MAXDEPTH constraint (specified by NIST), the circuit depth metrics (Toffoli depth, T -depth and full depth) become crucial factors and parallelization for often becomes necessary. We provide the least depth implementation in this respect that offers the best performance in terms of metrics like depth-squared - qubit count product, depth - gate count product.
Grover’s search algorithm allows a quantum adversary to find akkk-bit secret key of a block cipher by making O(2k/22^{k/2}2k/2) block cipher queries. Resistance of a block cipher to such an attack is evaluated by quantum resources required to implement Grover’s oracle for the target cipher. The quantum resources are typically estimated by theT\textit {T}T-depth of its circuit implementation and the number of qubits used by the circuit (width). Since the AES S-box is the only component which requiresT\textit {T}T-gates in a quantum implementation of AES, recent research has put its focus on efficient implementation of the AES S-box. However, any efficient implementation with lowT\textit {T}T-depth will not be practical in the real world without considering qubit consumption of the implementation. In this work, we propose three methods of trade-off between time and space for the quantum implementation of the AES S-box. In particular, one of our methods turns out to use the smallest number of qubits among the existing methods, significantly reducing itsT\textit {T}T-depth.