is a fixed prime. For the induction step, we introduce the problem Translating Coset generalizing both Hidden Translation and Hidden Subgroup and prove a powerful self-reducibility result: Translating Coset in a finite solvable group

G

is reducible to instances of Translating Coset in

G/N

and

N

, for appropriate normal subgroups

N

G

. Our self-reducibility framework, combined with Kuperberg's subexponential quantum algorithm for solving Hidden Translation in any abelian group, leads to subexponential quantum algorithms for Hidden Translation and Hidden Subgroup in any solvable group.

DOI: 10.1137/130907203

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\mathbb{Z}_p^n

, whenever

p

G

is reducible to instances of Translating Coset in

G/N

and

N

, for appropriate normal subgroups

N

G

We present a polynomial time exact quantum algorithm for the hidden subgroup problem in

\Z_{m^k}^n

. The algorithm uses the quantum Fourier transform modulo

m

and does not require factorization of

m

. For smooth

m

, i.e., when the prime factors of

m

are of size

(\log m)^{O(1)}

, the quantum Fourier transform can be exactly computed using the method discovered independently by Cleve and Coppersmith, while for general

m

, the algorithm of Mosca and Zalka is available. Even for

m=3

and

k=1

our result appears to be new. We also present applications to compute the structure of abelian and solvable groups whose order has the same (but possibly unknown) prime factors as

m

. The applications for solvable groups also rely on an exact version of a technique proposed by Watrous for computing the uniform superposition of elements of subgroups.

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).