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arXiv:2609.34996

Cyclotomic Cosets: Hidden Subgroup and Quantum Sieving Algorithm for Prime-Power Moduli

Mathias Boucher, Pierre-Alain Fouque, Yixin Shen

quant-phcs.CRSubmitted Sep 28, 2026• Announced Sep 29, 2026• 0 citations
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Abstract

The Learning With Errors (LWE) problem is a fundamental assumption in post-quantum cryptography. Regev established a quantum reduction from LWE to the Dihedral Coset Problem (DCP). Later, Brakerski et al. introduced the Extrapolated Dihedral Coset Problem (EDCP), proving its equivalence to LWE. However, unlike DCP, EDCP no longer admits a coset structure. This limits the direct application of techniques for hidden subgroup problems. In this work, we introduce the Cyclotomic Coset Problem (CCP), a cyclotomic generalization of DCP that preserves an exact hidden-subgroup structure. Let $ζ_p$ be a primitive $p$-th root of unity, let $π=ζ_p-1$, and write $q=p^t$ and $L=t(p-1)$. We work over $R_q=\mathbb Z_q[ζ_p] \cong \mathbb Z[ζ_p]/(π^L)$, where the isomorphism follows from the total ramification identity $(p)=(π)^{p-1}$. We exploit the resulting $π$-adic ideal chain to construct a quantum sieve that successively reduces phase states modulo $π^{L},π^{L-1},\ldots,π$. For every fixed prime $p$ and modulus $q=p^t$, our algorithm solves the CCP in time and sample complexity $2^{O_p(\log n\log q)}$, using polynomial quantum space. The sieve also applies to uniform EDCP and Gaussian S|LWE>, yielding quasi-polynomial time algorithms for all the above problems when $q=\text{poly}(n)$. This extends the power-of-two EDCP sieve of Bai et al. (CRYPTO 2025) to a cyclotomic setting. However, we emphasize that our result does not, by itself, yield a quasi-polynomial-time algorithm for standard LWE, because the currently known reduction produces only a limited number of approximate CCP states.

Related papers

Beyond LWE: Post-Quantum Assumptions under a Counterfactual Break of the Dihedral Coset Problem

Ramses Fernandez

A refuted 2026 claim of an efficient quantum algorithm for the Dihedral Coset Problem (DCP) motivates this survey of the consequences of a genuine breakthrough. We distinguish a noiseless cyclic coset-state solver, a solver with a prescribed failure exponent, and an extrapolated-state solver. Regev's rare-corruption observation already makes the first hypothesis sufficient for lattice algorithms at some polynomial approximation factors; the witnessing algorithm determines the quantitative bounds. We compose unstructured reductions with explicit sample, state-preparation and success conditions, and compare their sufficient guarantees with more than thirty lattice and non-lattice assumptions. We restate the structured state conversion of Wen and Zheng and audit its forward parameter certificate; the printed bound supplies no certificate at the ML-KEM ring and modulus. We use an explicit affine embedding for heuristic gap estimates, explain the lossiness connection from decision NTRU to search Ring-LWE, and distinguish ordinary from module uniqueness. Chen's withdrawn 2024 quantum algorithm for LWE and a proposed repair of its post-processing would, if correct, reach only a many-sample, small-noise LWE regime that the failure-exponent hypothesis already covers for exponents below $1/2$, and no deployed parameter set. Tables separate rigorous consequences, heuristic comparisons and unverified applications, and distinguish solving a proof assumption from attacking a scheme. Classical structural attacks on Classic McEliece, which do not involve DCP but put the concrete security of the scheme under revision, are summarised here and analysed in detail in a companion paper. The survey closes with open questions and a scenario-planning checklist that requires a complete efficient reduction.

arXiv:2610.36731•Oct 27, 2026•0 citations

The dihedral hidden subgroup problem

Imin Chen, David I. Sun

Abstract The hidden subgroup problem (HSP) is a cornerstone problem in quantum computing, which captures many problems of interest and provides a standard framework algorithm for their study based on Fourier sampling, one class of techniques known to provide quantum advantage, and which succeeds for some groups but not others. The quantum hardness of the HSP problem for the dihedral group is a critical question for post-quantum cryptosystems based on learning with errors and also appears in subexponential algorithms for constructing isogenies between elliptic curves over a finite field. In this article, we give an updated overview of the dihedral hidden subgroup problem as approached by the “standard” quantum algorithm for HSP on finite groups, detailing the obstructions for strong Fourier sampling to succeed and summarizing other known approaches and results. In our treatment, we “contrast and compare” as much as possible the cyclic and dihedral cases, with a view to determining bounds for the success probability of a quantum algorithm that uses m m coset samples to solve the HSP on these groups. In the last sections, we prove a number of no-go results for the dihedral coset problem (DCP), motivated by a connection between DCP and cloning of quantum states. The proofs of these no-go results are then adapted to give nontrivial upper bounds on the success probability of a quantum algorithm that uses m m coset samples to solve DCP.

arXiv:2106.09907•Journal of Mathematical Cryptology•Jan 1, 2024•0 citations

Quantum Algorithms for Variants of Average-Case Lattice Problems via Filtering

Yuehua Chen, Qipeng Liu, Mark Zhandry

We show polynomial-time quantum algorithms for the following problems: (*) Short integer solution (SIS) problem under the infinity norm, where the public matrix is very wide, the modulus is a polynomially large prime, and the bound of infinity norm is set to be half of the modulus minus a constant. (*) Learning with errors (LWE) problem given LWE-like quantum states with polynomially large moduli and certain error distributions, including bounded uniform distributions and Laplace distributions. (*) Extrapolated dihedral coset problem (EDCP) with certain parameters. The SIS, LWE, and EDCP problems in their standard forms are as hard as solving lattice problems in the worst case. However, the variants that we can solve are not in the parameter regimes known to be as hard as solving worst-case lattice problems. Still, no classical or quantum polynomial-time algorithms were known for the variants of SIS and LWE we consider. For EDCP, our quantum algorithm slightly extends the result of Ivanyos et al. (2018). Our algorithms for variants of SIS and EDCP use the existing quantum reductions from those problems to LWE, or more precisely, to the problem of solving LWE given LWE-like quantum states. Our main contribution is solving LWE given LWE-like quantum states with interesting parameters using a filtering technique.

arXiv:2108.11015•Aug 25, 2021•5 citations

The Hidden Subgroup Problem in Semidirect Products and Quasi-Hamiltonian Groups

Mauro E. S. Morales

Several early quantum algorithms, including Simon's algorithm and Shor's period-finding are instances of the hidden subgroup problem (HSP) over finite abelian groups. No polynomial-time quantum algorithm is known for the HSP over arbitrary non-abelian finite groups. The non-Abelian case is of particular interest because some instances, such as the dihedral and symmetric group HSPs, are connected to lattice problems and graph isomorphism, respectively. In this work, we give polynomial-time quantum algorithms for two further families containing non-Abelian groups. First, we consider groups of the form $G=A\rtimes_{\varphi} \mathbb{Z}_{p^k}$, with $A$ finite Abelian, $p$ prime, $k\in \mathbb{N}$ and the action of $\mathbb Z_{p^k}$ is generated by the scalar automorphism $a\mapstoμa$, for some $μ\in\mathbb Z_{\operatorname{Exp}(A)}^\times$, where $\mathrm{Exp}(A)$ is the exponent of $A$. Our algorithm is efficient when $A$ has bounded generator rank and $\mathrm{Exp}(A)/p=\mathrm{polylog}(|G|)$. This includes the case $A=\mathbb{Z}_N$ for $N\in\mathbb{N}$ and $k=1$, studied by Bacon, Childs and van Dam (FOCS 2005), and $A=\mathbb{Z}_{q^r}$ with $q$ prime and $r\in \mathbb{N}$ studied by van Dam and Dey (TQC 2014). Second, we give a polynomial-time quantum algorithm for finite quasi-Hamiltonian groups under a mild assumption on the input structure. Quasi-Hamiltonian groups are finite nilpotent groups with modular subgroup lattice, or equivalently the finite groups in which every subgroup is permutable. As far as we know, this is the first quantum algorithm to exploit the modularity of the subgroup lattice for solving the HSP. This extends, under the aforementioned structured input assumption, the quantum algorithm for Dedekind groups given by Hallgren, Russell, and Ta-Shma (SIAM J. Comput. 32, 2003).

quant-pharXiv:2608.05321•Aug 7, 2026•0 citations

Quantum Algorithms for Variants of Average-Case Lattice Problems via Filtering

Yilei Chen, Qipeng Liu, Mark Zhandry

We show polynomial-time quantum algorithms for the following problems: (*) Short integer solution (SIS) problem under the infinity norm, where the public matrix is very wide, the modulus is a polynomially large prime, and the bound of infinity norm is set to be half of the modulus minus a constant. (*) Extrapolated dihedral coset problem (EDCP) with certain parameters. (*) Learning with errors (LWE) problem given LWE-like quantum states with polynomially large moduli and certain error distributions, including bounded uniform distributions and Laplace distributions. The SIS, EDCP, and LWE problems in their standard forms are as hard as solving lattice problems in the worst case. However, the variants that we can solve are not in the parameter regimes known to be as hard as solving worst-case lattice problems. Still, no classical or quantum polynomial-time algorithms were known for those variants. Our algorithms for variants of SIS and EDCP use the existing quantum reductions from those problems to LWE, or more precisely, to the problem of solving LWE given LWE-like quantum states. Our main contributions are introducing a filtering technique and solving LWE given LWE-like quantum states with interesting parameters.

•Aug 25, 2021•0 citations

Hardness of the Shortest Vector Problem on Ideal Lattices under Quantum Reductions

Zen Revista, 10 MFC

The security of efficient post-quantum cryptographic primitives, particularly those based on the Ring Learning With Errors (Ring-LWE) problem, relies fundamentally on the presumed intractability of the Shortest Vector Problem (SVP) over ideal lattices. This monograph investigates the hardness of Ideal-SVP in the presence of quantum adversaries. We rigorously analyze the worst-case to average-case reductions that underpin the security of ideal lattice-based schemes, extending classical Gaussian smoothing arguments to the quantum setting. Specifically, we examine the impact of quantum sieving algorithms and the Quantum Fourier Transform (QFT) on the algebraic structure of number fields. While quantum algorithms provide a quadratic speedup for general lattice sieving, we argue that the additional algebraic structure of ideal lattices does not yield a catastrophic collapse in hardness under current quantum reduction models. We present a synthesis of recent results concerning the lower bounds of quantum query complexity for Ideal-SVP, establishing that for cyclotomic fields of degree n, the problem remains hard up to sub-exponential factors, thereby validating the asymptotic security of structured lattice cryptography.

•Feb 4, 2026•0 citations
The Learning With Errors (LWE) problem is a fundamental assumption in post-quantum cryptography. Regev established a quantum reduction from LWE to the Dihedral Coset Problem (DCP). Later, Brakerski et al. introduced the Extrapolated Dihedral Coset Problem (EDCP), proving its equivalence to LWE. However, unlike DCP, EDCP no longer admits a coset structure. This limits the direct application of techniques for hidden subgroup problems.
In this work, we introduce the Cyclotomic Coset Problem (CCP), a cyclotomic generalization of DCP that preserves an exact hidden-subgroup structure. Let ζpζ_pζp​ be a primitive ppp-th root of unity, let π=ζp−1π=ζ_p-1π=ζp​−1, and write q=ptq=p^tq=pt and L=t(p−1)L=t(p-1)L=t(p−1). We work over Rq=Zq[ζp]≅Z[ζp]/(πL)R_q=\mathbb Z_q[ζ_p] \cong \mathbb Z[ζ_p]/(π^L)Rq​=Zq​[ζp​]≅Z[ζp​]/(πL), where the isomorphism follows from the total ramification identity (p)=(π)p−1(p)=(π)^{p-1}(p)=(π)p−1. We exploit the resulting πππ-adic ideal chain to construct a quantum sieve that successively reduces phase states modulo πL,πL−1,…,ππ^{L},π^{L-1},\ldots,ππL,πL−1,…,π. For every fixed prime ppp and modulus q=ptq=p^tq=pt, our algorithm solves the CCP in time and sample complexity 2Op(log⁡nlog⁡q)2^{O_p(\log n\log q)}2Op​(lognlogq), using polynomial quantum space. The sieve also applies to uniform EDCP and Gaussian S|LWE>, yielding quasi-polynomial time algorithms for all the above problems when q=poly(n)q=\text{poly}(n)q=poly(n). This extends the power-of-two EDCP sieve of Bai et al. (CRYPTO 2025) to a cyclotomic setting.
However, we emphasize that our result does not, by itself, yield a quasi-polynomial-time algorithm for standard LWE, because the currently known reduction produces only a limited number of approximate CCP states.
A refuted 2026 claim of an efficient quantum algorithm for the Dihedral Coset Problem (DCP) motivates this survey of the consequences of a genuine breakthrough. We distinguish a noiseless cyclic coset-state solver, a solver with a prescribed failure exponent, and an extrapolated-state solver. Regev's rare-corruption observation already makes the first hypothesis sufficient for lattice algorithms at some polynomial approximation factors; the witnessing algorithm determines the quantitative bounds. We compose unstructured reductions with explicit sample, state-preparation and success conditions, and compare their sufficient guarantees with more than thirty lattice and non-lattice assumptions. We restate the structured state conversion of Wen and Zheng and audit its forward parameter certificate; the printed bound supplies no certificate at the ML-KEM ring and modulus. We use an explicit affine embedding for heuristic gap estimates, explain the lossiness connection from decision NTRU to search Ring-LWE, and distinguish ordinary from module uniqueness. Chen's withdrawn 2024 quantum algorithm for LWE and a proposed repair of its post-processing would, if correct, reach only a many-sample, small-noise LWE regime that the failure-exponent hypothesis already covers for exponents below 1/21/21/2, and no deployed parameter set. Tables separate rigorous consequences, heuristic comparisons and unverified applications, and distinguish solving a proof assumption from attacking a scheme. Classical structural attacks on Classic McEliece, which do not involve DCP but put the concrete security of the scheme under revision, are summarised here and analysed in detail in a companion paper. The survey closes with open questions and a scenario-planning checklist that requires a complete efficient reduction.
Abstract The hidden subgroup problem (HSP) is a cornerstone problem in quantum computing, which captures many problems of interest and provides a standard framework algorithm for their study based on Fourier sampling, one class of techniques known to provide quantum advantage, and which succeeds for some groups but not others. The quantum hardness of the HSP problem for the dihedral group is a critical question for post-quantum cryptosystems based on learning with errors and also appears in subexponential algorithms for constructing isogenies between elliptic curves over a finite field. In this article, we give an updated overview of the dihedral hidden subgroup problem as approached by the “standard” quantum algorithm for HSP on finite groups, detailing the obstructions for strong Fourier sampling to succeed and summarizing other known approaches and results. In our treatment, we “contrast and compare” as much as possible the cyclic and dihedral cases, with a view to determining bounds for the success probability of a quantum algorithm that uses m m coset samples to solve the HSP on these groups. In the last sections, we prove a number of no-go results for the dihedral coset problem (DCP), motivated by a connection between DCP and cloning of quantum states. The proofs of these no-go results are then adapted to give nontrivial upper bounds on the success probability of a quantum algorithm that uses m m coset samples to solve DCP.
We show polynomial-time quantum algorithms for the following problems: (*) Short integer solution (SIS) problem under the infinity norm, where the public matrix is very wide, the modulus is a polynomially large prime, and the bound of infinity norm is set to be half of the modulus minus a constant. (*) Learning with errors (LWE) problem given LWE-like quantum states with polynomially large moduli and certain error distributions, including bounded uniform distributions and Laplace distributions. (*) Extrapolated dihedral coset problem (EDCP) with certain parameters. The SIS, LWE, and EDCP problems in their standard forms are as hard as solving lattice problems in the worst case. However, the variants that we can solve are not in the parameter regimes known to be as hard as solving worst-case lattice problems. Still, no classical or quantum polynomial-time algorithms were known for the variants of SIS and LWE we consider. For EDCP, our quantum algorithm slightly extends the result of Ivanyos et al. (2018). Our algorithms for variants of SIS and EDCP use the existing quantum reductions from those problems to LWE, or more precisely, to the problem of solving LWE given LWE-like quantum states. Our main contribution is solving LWE given LWE-like quantum states with interesting parameters using a filtering technique.
Several early quantum algorithms, including Simon's algorithm and Shor's period-finding are instances of the hidden subgroup problem (HSP) over finite abelian groups. No polynomial-time quantum algorithm is known for the HSP over arbitrary non-abelian finite groups. The non-Abelian case is of particular interest because some instances, such as the dihedral and symmetric group HSPs, are connected to lattice problems and graph isomorphism, respectively. In this work, we give polynomial-time quantum algorithms for two further families containing non-Abelian groups. First, we consider groups of the form G=A⋊φZpkG=A\rtimes_{\varphi} \mathbb{Z}_{p^k}G=A⋊φ​Zpk​, with AAA finite Abelian, ppp prime, k∈Nk\in \mathbb{N}k∈N and the action of Zpk\mathbb Z_{p^k}Zpk​ is generated by the scalar automorphism a↦μaa\mapstoμaa↦μa, for some μ∈ZExp⁡(A)×μ\in\mathbb Z_{\operatorname{Exp}(A)}^\timesμ∈ZExp(A)×​, where Exp(A)\mathrm{Exp}(A)Exp(A) is the exponent of AAA. Our algorithm is efficient when AAA has bounded generator rank and Exp(A)/p=polylog(∣G∣)\mathrm{Exp}(A)/p=\mathrm{polylog}(|G|)Exp(A)/p=polylog(∣G∣). This includes the case A=ZNA=\mathbb{Z}_NA=ZN​ for N∈NN\in\mathbb{N}N∈N and k=1k=1k=1, studied by Bacon, Childs and van Dam (FOCS 2005), and A=ZqrA=\mathbb{Z}_{q^r}A=Zqr​ with qqq prime and r∈Nr\in \mathbb{N}r∈N studied by van Dam and Dey (TQC 2014). Second, we give a polynomial-time quantum algorithm for finite quasi-Hamiltonian groups under a mild assumption on the input structure. Quasi-Hamiltonian groups are finite nilpotent groups with modular subgroup lattice, or equivalently the finite groups in which every subgroup is permutable. As far as we know, this is the first quantum algorithm to exploit the modularity of the subgroup lattice for solving the HSP. This extends, under the aforementioned structured input assumption, the quantum algorithm for Dedekind groups given by Hallgren, Russell, and Ta-Shma (SIAM J. Comput. 32, 2003).
We show polynomial-time quantum algorithms for the following problems: (*) Short integer solution (SIS) problem under the infinity norm, where the public matrix is very wide, the modulus is a polynomially large prime, and the bound of infinity norm is set to be half of the modulus minus a constant. (*) Extrapolated dihedral coset problem (EDCP) with certain parameters. (*) Learning with errors (LWE) problem given LWE-like quantum states with polynomially large moduli and certain error distributions, including bounded uniform distributions and Laplace distributions. The SIS, EDCP, and LWE problems in their standard forms are as hard as solving lattice problems in the worst case. However, the variants that we can solve are not in the parameter regimes known to be as hard as solving worst-case lattice problems. Still, no classical or quantum polynomial-time algorithms were known for those variants. Our algorithms for variants of SIS and EDCP use the existing quantum reductions from those problems to LWE, or more precisely, to the problem of solving LWE given LWE-like quantum states. Our main contributions are introducing a filtering technique and solving LWE given LWE-like quantum states with interesting parameters.
The security of efficient post-quantum cryptographic primitives, particularly those based on the Ring Learning With Errors (Ring-LWE) problem, relies fundamentally on the presumed intractability of the Shortest Vector Problem (SVP) over ideal lattices. This monograph investigates the hardness of Ideal-SVP in the presence of quantum adversaries. We rigorously analyze the worst-case to average-case reductions that underpin the security of ideal lattice-based schemes, extending classical Gaussian smoothing arguments to the quantum setting. Specifically, we examine the impact of quantum sieving algorithms and the Quantum Fourier Transform (QFT) on the algebraic structure of number fields. While quantum algorithms provide a quadratic speedup for general lattice sieving, we argue that the additional algebraic structure of ideal lattices does not yield a catastrophic collapse in hardness under current quantum reduction models. We present a synthesis of recent results concerning the lower bounds of quantum query complexity for Ideal-SVP, establishing that for cyclotomic fields of degree n, the problem remains hard up to sub-exponential factors, thereby validating the asymptotic security of structured lattice cryptography.