The Hidden Subgroup Problem for Universal Algebras
- URL: http://arxiv.org/abs/2001.11298v2
- Date: Fri, 1 May 2020 20:14:21 GMT
- Title: The Hidden Subgroup Problem for Universal Algebras
- Authors: Matthew Moore, Taylor Walenczyk
- Abstract summary: The Hidden Subgroup Problem (HSP) is a computational problem which includes as special cases integer factorization, the discrete discrete problem, graph isomorphism, and the shortest vector problem.
- Score: 0.7832189413179361
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: The Hidden Subgroup Problem (HSP) is a computational problem which includes
as special cases integer factorization, the discrete logarithm problem, graph
isomorphism, and the shortest vector problem. The celebrated polynomial-time
quantum algorithms for factorization and the discrete logarithm are restricted
versions of a generic polynomial-time quantum solution to the HSP for abelian
groups, but despite focused research no full solution has yet been found. We
propose a generalization of the HSP to include arbitrary algebraic structures
and analyze this new problem on powers of 2-element algebras. We prove a
complete classification of every such power as quantum tractable (i.e.
polynomial-time), classically tractable, quantum intractable, and classically
intractable. In particular, we identify a class of algebras for which the
generalized HSP exhibits super-polynomial speedup on a quantum computer
compared to a classical one.
Related papers
- Bosonic Quantum Computational Complexity [0.0]
We lay foundations for such a research program.
We introduce natural complexity classes and problems based on bosonic generalizations of BQP.
We show that the problem of deciding the boundedness of the spectrum of a bosonic Hamiltonian is co-NP-hard.
arXiv Detail & Related papers (2024-10-05T19:43:41Z) - Sum-of-Squares inspired Quantum Metaheuristic for Polynomial Optimization with the Hadamard Test and Approximate Amplitude Constraints [76.53316706600717]
Recently proposed quantum algorithm arXiv:2206.14999 is based on semidefinite programming (SDP)
We generalize the SDP-inspired quantum algorithm to sum-of-squares.
Our results show that our algorithm is suitable for large problems and approximate the best known classicals.
arXiv Detail & Related papers (2024-08-14T19:04:13Z) - On the quantum time complexity of divide and conquer [42.7410400783548]
We study the time complexity of quantum divide and conquer algorithms for classical problems.
We apply these theorems to an array of problems involving strings, integers, and geometric objects.
arXiv Detail & Related papers (2023-11-28T01:06:03Z) - A hybrid quantum-classical algorithm for multichannel quantum scattering
of atoms and molecules [62.997667081978825]
We propose a hybrid quantum-classical algorithm for solving the Schr"odinger equation for atomic and molecular collisions.
The algorithm is based on the $S$-matrix version of the Kohn variational principle, which computes the fundamental scattering $S$-matrix.
We show how the algorithm could be scaled up to simulate collisions of large polyatomic molecules.
arXiv Detail & Related papers (2023-04-12T18:10:47Z) - An Exponential Separation Between Quantum Query Complexity and the
Polynomial Degree [79.43134049617873]
In this paper, we demonstrate an exponential separation between exact degree and approximate quantum query for a partial function.
For an alphabet size, we have a constant versus separation complexity.
arXiv Detail & Related papers (2023-01-22T22:08:28Z) - Quantum Worst-Case to Average-Case Reductions for All Linear Problems [66.65497337069792]
We study the problem of designing worst-case to average-case reductions for quantum algorithms.
We provide an explicit and efficient transformation of quantum algorithms that are only correct on a small fraction of their inputs into ones that are correct on all inputs.
arXiv Detail & Related papers (2022-12-06T22:01:49Z) - Unitary property testing lower bounds by polynomials [0.15229257192293197]
We study unitary property testing, where a quantum algorithm is given query access to a black-box unitary.
Characterizing the complexity of these problems requires new algorithmic techniques and lower bound methods.
We present a unitary property testing-based approach towards an oracle separation between $mathsfQMA$ and $mathsfQMA(2)$.
arXiv Detail & Related papers (2022-10-12T03:01:00Z) - Complexity-Theoretic Limitations on Quantum Algorithms for Topological
Data Analysis [59.545114016224254]
Quantum algorithms for topological data analysis seem to provide an exponential advantage over the best classical approach.
We show that the central task of TDA -- estimating Betti numbers -- is intractable even for quantum computers.
We argue that an exponential quantum advantage can be recovered if the input data is given as a specification of simplices.
arXiv Detail & Related papers (2022-09-28T17:53:25Z) - Polynomial-time quantum algorithm for solving the hidden subgroup
problem [0.0]
The hidden subgroup problem(HSP) is one of the most important problems in quantum computation.
We find that the HSP can be reduced to a nested structured search problem that is solved efficiently by using a quantum algorithm via multistep quantum algorithm.
arXiv Detail & Related papers (2022-04-07T08:50:50Z) - An efficient quantum algorithm for lattice problems achieving
subexponential approximation factor [2.3351527694849574]
We give a quantum algorithm for solving the Bounded Distance Decoding (BDD) problem with a subexponential approximation factor on a class of integer lattices.
The running time of the quantum algorithm is for one range of approximation factors and subexponential time for a second range of approximation factors.
This view makes for a clean quantum algorithm in terms of finite abelian groups, uses relatively little from lattice theory, and suggests exploring approximation algorithms for lattice problems in parameters other than dimension alone.
arXiv Detail & Related papers (2022-01-31T18:58:33Z) - Finite-Function-Encoding Quantum States [52.77024349608834]
We introduce finite-function-encoding (FFE) states which encode arbitrary $d$-valued logic functions.
We investigate some of their structural properties.
arXiv Detail & Related papers (2020-12-01T13:53:23Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.