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Quantum resource estimates for computing elliptic curve discrete logarithms

机译:计算椭圆曲线离散的量子资源估计   对数

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摘要

We give precise quantum resource estimates for Shor's algorithm to computediscrete logarithms on elliptic curves over prime fields. The estimates arederived from a simulation of a Toffoli gate network for controlled ellipticcurve point addition, implemented within the framework of the quantum computingsoftware tool suite LIQ$Ui|\rangle$. We determine circuit implementations forreversible modular arithmetic, including modular addition, multiplication andinversion, as well as reversible elliptic curve point addition. We concludethat elliptic curve discrete logarithms on an elliptic curve defined over an$n$-bit prime field can be computed on a quantum computer with at most $9n +2\lceil\log_2(n)\rceil+10$ qubits using a quantum circuit of at most $448 n^3\log_2(n) + 4090 n^3$ Toffoli gates. We are able to classically simulate theToffoli networks corresponding to the controlled elliptic curve point additionas the core piece of Shor's algorithm for the NIST standard curves P-192,P-224, P-256, P-384 and P-521. Our approach allows gate-level comparisons torecent resource estimates for Shor's factoring algorithm. The results alsosupport estimates given earlier by Proos and Zalka and indicate that, forcurrent parameters at comparable classical security levels, the number ofqubits required to tackle elliptic curves is less than for attacking RSA,suggesting that indeed ECC is an easier target than RSA.
机译:我们为Shor算法提供精确的量子资源估计,以计算素数场上椭圆曲线上的离散对数。估计值来自对可控椭圆曲线点加法的Toffoli门网络的仿真,该仿真在量子计算软件工具套件LIQ $ Ui | \ rangle $的框架内实现。我们确定可逆模块化算法的电路实现方式,包括模块化加法,乘法和求逆以及可逆椭圆曲线点加法。我们得出的结论是,在一个$ n $位素数场上定义的椭圆曲线上的椭圆曲线离散对数可以在一个量子计算机上使用量子最多计算$ 9n +2 \ lceil \ log_2(n)\ rceil + 10 $个量子位电路最多$ 448 n ^ 3 \ log_2(n)+ 4090 n ^ 3 $ Toffoli门。作为NIST标准曲线P-192,P-224,P-256,P-384和P-521的Shor算法的核心部分,我们能够经典地模拟与受控椭圆曲线点添加相对应的Toffoli网络。我们的方法允许门级比较,以获取Shor分解因数算法的最新资源估算。结果还支持了Proos和Zalka早些时候给出的估计,并表明,在具有可比的经典安全级别的当前参数下,解决椭圆曲线所需的量子位数量少于攻击RSA所需的量子位数量,这表明ECC实际上比RSA更容易成为攻击目标。

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