We show a polynomial time quantum algorithm for solving the learning with errors problem (LWE) with certain polynomial modulus-noise ratios. Combining with the reductions from lattice problems to LWE shown by Regev [J.ACM 2009], we obtain polynomial time quantum algorithms for solving the decisional shortest vector problem (GapSVP) and the shortest independent vector problem (SIVP) for all -dimensional lattices within approximation factors of . Previously, no polynomial or even subexponential time quantum algorithms were known for solving GapSVP or SIVP for all lattices within any polynomial approximation factors.
Danilo!

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Hi, Chen's result requires q=\tilde{\Omega}(m^2),where m=\Omega{n*log q}, where tilde{\Omega}(m^2) means c*m^2*(logm)^d,for some constants c and d. So, for Dilithium, q is still less than \tilde{\Omega}(m^2).
For NTRU, Chen's result does not go beyond the fatigue point q=2^{2.484+o(1)} of [1], so as far as I see, the result does not bring new security threats to NTRU.
Regards
Yunlei
-----原始邮件-----
发件人: "Danilo Gligoroski" <dan...@ntnu.no>
发送时间: 2024-04-11 15:14:24 (星期四)
收件人: pqc-...@list.nist.gov
主题: Re: [pqc-forum] Quantum Algorithms for Lattice Problems eprint.iacr.org/2024/555
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For Dilithium, with Dilithim65 as an example, m=256*6,n=256*5, m is much smaller than n*log q, in this case Chen's result may need further larger q. But I suggest better to use smaller q indeed, at least for the recommended parameter set of Dilithium6*5. In the same way, when applying Chen's result on RLWE or NTRU, applying Chen's result (if applicable) may also need further larger q.
-----原始邮件-----
发件人: "Danilo Gligoroski" <dan...@ntnu.no>
发送时间: 2024-04-11 15:14:24 (星期四)
收件人: pqc-...@list.nist.gov
主题: Re: [pqc-forum] Quantum Algorithms for Lattice Problems eprint.iacr.org/2024/555
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-----原始邮件-----
发件人: "Divesh Aggarwal" <divesh....@gmail.com>
发送时间: 2024-04-11 18:32:12 (星期四)
收件人: 赵运磊 <ylz...@fudan.edu.cn>
抄送: "Danilo Gligoroski" <dan...@ntnu.no>, pqc-...@list.nist.gov
主题: Re: [pqc-forum] Quantum Algorithms for Lattice Problems eprint.iacr.org/2024/555
Isn’t it really premature to worry about what it implies for NIST submissions. If the result is correct, there will be follow-ups and most lattice based schemes will be broken.
For now the most important thing is to check for correctness, and not to plug in the value of q and n and m, and get overjoyed with the resulting inequalities :)
Best regardsDivesh
On 11 Apr 2024, at 6:21 PM, '赵运磊' via pqc-forum <pqc-...@list.nist.gov> wrote:
Hi, Chen's result requires q=\tilde{\Omega}(m^2),where m=\Omega{n*log q}, where tilde{\Omega}(m^2) means c*m^2*(logm)^d,for some constants c and d. So, for Dilithium, q is still less than \tilde{\Omega}(m^2).
For NTRU, Chen's result does not go beyond the fatigue point q=2^{2.484+o(1)} of [1], so as far as I see, the result does not bring new security threats to NTRU.
Regards
Yunlei
-----原始邮件-----
发件人: "Danilo Gligoroski" <dan...@ntnu.no>
发送时间: 2024-04-11 15:14:24 (星期四)
收件人: pqc-...@list.nist.gov
主题: Re: [pqc-forum] Quantum Algorithms for Lattice Problems eprint.iacr.org/2024/555
Hmmm,
Two initial comments regarding the remarks on page 3 of the paper (given below as an image):
1. For Kyber (NIST FIPS 203), the paper says k \in {3, 4, 5}, while the correct values should be {2, 3, 4}. Still, the claims are correct: q = 3329 is not bigger than n^2, where n = 256 k, and k in {2, 3, 4}.
2. However, for Dilithium (NIST FIPS 204), q = 8380417, k \in {4, 6, 8}, and for all values n = 256 k, actually q > n^2. Is this a serious threat?
Regards,
Danilo!
<saj6UrBAeUiOV00p.png>
On 10/04/2024 22:19, D P wrote:
Dear PQC Forum,
We came across this today, Is this algorithm valid and if so, how much of a risk is it to current lattice algorithms?https://eprint.iacr.org/2024/555
--Yilei ChenAbstract, Tsinghua University, Shanghai Artificial Intelligence Laboratory, Shanghai Qi Zhi Institute
We show a polynomial time quantum algorithm for solving the learning with errors problem (LWE) with certain polynomial modulus-noise ratios. Combining with the reductions from lattice problems to LWE shown by Regev [J.ACM 2009], we obtain polynomial time quantum algorithms for solving the decisional shortest vector problem (GapSVP) and the shortest independent vector problem (SIVP) for all -dimensional lattices within approximation factors of . Previously, no polynomial or even subexponential time quantum algorithms were known for solving GapSVP or SIVP for all lattices within any polynomial approximation factors.
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On 11 Apr 2024, at 6:21 PM, '赵运磊' via pqc-forum <pqc-...@list.nist.gov> wrote:
Hi, Chen's result requires q=\tilde{\Omega}(m^2),where m=\Omega{n*log q}, where tilde{\Omega}(m^2) means c*m^2*(logm)^d,for some constants c and d. So, for Dilithium, q is still less than \tilde{\Omega}(m^2).
For NTRU, Chen's result does not go beyond the fatigue point q=2^{2.484+o(1)} of [1], so as far as I see, the result does not bring new security threats to NTRU.
Regards
Yunlei
-----原始邮件-----
发件人: "Danilo Gligoroski" <dan...@ntnu.no>
发送时间: 2024-04-11 15:14:24 (星期四)
收件人: pqc-...@list.nist.gov
主题: Re: [pqc-forum] Quantum Algorithms for Lattice Problems eprint.iacr.org/2024/555
Hmmm,
Two initial comments regarding the remarks on page 3 of the paper (given below as an image):
1. For Kyber (NIST FIPS 203), the paper says k \in {3, 4, 5}, while the correct values should be {2, 3, 4}. Still, the claims are correct: q = 3329 is not bigger than n^2, where n = 256 k, and k in {2, 3, 4}.
2. However, for Dilithium (NIST FIPS 204), q = 8380417, k \in {4, 6, 8}, and for all values n = 256 k, actually q > n^2. Is this a serious threat?
Regards,
Danilo!
<saj6UrBAeUiOV00p.png>
On 10/04/2024 22:19, D P wrote:
Dear PQC Forum,
We came across this today, Is this algorithm valid and if so, how much of a risk is it to current lattice algorithms?https://eprint.iacr.org/2024/555
--Yilei ChenAbstract, Tsinghua University, Shanghai Artificial Intelligence Laboratory, Shanghai Qi Zhi Institute
We show a polynomial time quantum algorithm for solving the learning with errors problem (LWE) with certain polynomial modulus-noise ratios. Combining with the reductions from lattice problems to LWE shown by Regev [J.ACM 2009], we obtain polynomial time quantum algorithms for solving the decisional shortest vector problem (GapSVP) and the shortest independent vector problem (SIVP) for all -dimensional lattices within approximation factors of . Previously, no polynomial or even subexponential time quantum algorithms were known for solving GapSVP or SIVP for all lattices within any polynomial approximation factors.
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