A Quantum Diophantine Equation Solution Finder
- URL: http://arxiv.org/abs/2408.11606v1
- Date: Wed, 21 Aug 2024 13:31:32 GMT
- Title: A Quantum Diophantine Equation Solution Finder
- Authors: Lara Tatli, Paul Stevenson,
- Abstract summary: Grover's algorithm is a quantum search algorithm which can find marked indices in a list very efficiently.
By treating the indices as the integer variables in the diophantine equation, Grover's algorithm can be used to find solutions in brute force way more efficiently than classical methods.
- Score: 0.0
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Diophantine equations are multivariate equations, usually polynomial, in which only integer solutions are admitted. A brute force method for finding solutions would be to systematically substitute possible integer solutions and check for equality. Grover's algorithm is a quantum search algorithm which can find marked indices in a list very efficiently. By treating the indices as the integer variables in the diophantine equation, Grover's algorithm can be used to find solutions in brute force way more efficiently than classical methods. We present an example for the simplest possible diophantine equation.
Related papers
- Explicit Solution Equation for Every Combinatorial Problem via Tensor Networks: MeLoCoToN [55.2480439325792]
We show that every computation problem has an exact explicit equation that returns its solution.
We present a method to obtain an equation that solves exactly any problem, both inversion, constraint satisfaction and optimization.
arXiv Detail & Related papers (2025-02-09T18:16:53Z) - An average case efficient algorithm for solving two variable linear diophantine equations [0.0]
Solving two variable linear diophantine equations has applications in many cryptographic protocols such as RSA and Elliptic curve cryptography.
We revisit two algorithms to solve two variable linear diophantine equations.
arXiv Detail & Related papers (2024-09-21T07:51:12Z) - 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) - Integer Programming Using A Single Atom [0.0]
We develop an algorithm that maps and solves an IP problem in its original form to any quantum system.
The optimal solution is found within a few microseconds for IP problems with up to eight variables and four constraints.
arXiv Detail & Related papers (2024-02-26T12:59:20Z) - Resource Efficient Boolean Function Solver on Quantum Computer [7.833656237685403]
Grover's algorithm is one of the best-known quantum search algorithms in solving the nonlinear equation system on quantum computers.
We propose three novel techniques to improve the iteration efficiency under Grover's framework.
arXiv Detail & Related papers (2023-10-08T05:07:35Z) - Alternatives to a nonhomogeneous partial differential equation quantum
algorithm [52.77024349608834]
We propose a quantum algorithm for solving nonhomogeneous linear partial differential equations of the form $Apsi(textbfr)=f(textbfr)$.
These achievements enable easier experimental implementation of the quantum algorithm based on nowadays technology.
arXiv Detail & Related papers (2022-05-11T14:29:39Z) - Provably Faster Algorithms for Bilevel Optimization [54.83583213812667]
Bilevel optimization has been widely applied in many important machine learning applications.
We propose two new algorithms for bilevel optimization.
We show that both algorithms achieve the complexity of $mathcalO(epsilon-1.5)$, which outperforms all existing algorithms by the order of magnitude.
arXiv Detail & Related papers (2021-06-08T21:05:30Z) - Towards Optimally Efficient Tree Search with Deep Learning [76.64632985696237]
This paper investigates the classical integer least-squares problem which estimates signals integer from linear models.
The problem is NP-hard and often arises in diverse applications such as signal processing, bioinformatics, communications and machine learning.
We propose a general hyper-accelerated tree search (HATS) algorithm by employing a deep neural network to estimate the optimal estimation for the underlying simplified memory-bounded A* algorithm.
arXiv Detail & Related papers (2021-01-07T08:00:02Z) - Quantum Algorithms for String Processing [58.720142291102135]
We provide a quantum algorithm for the String matching problem that uses exponentially less quantum memory than existing ones.
Using the same ideas, we provide two algorithms for the String comparing problem.
The second algorithm works exponentially faster than the existing one.
arXiv Detail & Related papers (2020-12-01T09:59:06Z) - Towards Meta-Algorithm Selection [78.13985819417974]
Instance-specific algorithm selection (AS) deals with the automatic selection of an algorithm from a fixed set of candidates.
We show that meta-algorithm-selection can indeed prove beneficial in some cases.
arXiv Detail & Related papers (2020-11-17T17:27:33Z) - Quantum Search with Prior Knowledge [15.384459603233978]
We propose a new generalization of Grover's search algorithm which performs better than the standard Grover algorithm in average under this setting.
We prove that our new algorithm achieves the optimal expected success probability of finding the solution if the number of queries is fixed.
arXiv Detail & Related papers (2020-09-18T09:50:33Z) - Introducing Structure to Expedite Quantum Search [0.0]
We present a novel quantum algorithm for solving the unstructured search problem with one marked element.
Our algorithm is optimal in the total number of elementary gates up to a multiplicative constant.
We show how toally reduce the number of elementary gates required to solve the unstructured search problem with multiple marked elements.
arXiv Detail & Related papers (2020-06-10T13:29:47Z)
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.