A Parallel and Distributed Quantum SAT Solver Based on Entanglement and
Quantum Teleportation
- URL: http://arxiv.org/abs/2308.03344v1
- Date: Mon, 7 Aug 2023 06:52:06 GMT
- Title: A Parallel and Distributed Quantum SAT Solver Based on Entanglement and
Quantum Teleportation
- Authors: Shang-Wei Lin, Tzu-Fan Wang, Yean-Ru Chen, Zhe Hou, David San\'an, Yon
Shin Teo
- Abstract summary: We develop a parallel quantum SAT solver, which reduces the time complexity in each iteration from linear time O(m) to constant time O(1) by utilising extra entangled qubits.
We have proved the correctness of our approaches and demonstrated them in simulations.
- Score: 1.5201992393140886
- License: http://creativecommons.org/licenses/by-nc-nd/4.0/
- Abstract: Boolean satisfiability (SAT) solving is a fundamental problem in computer
science. Finding efficient algorithms for SAT solving has broad implications in
many areas of computer science and beyond. Quantum SAT solvers have been
proposed in the literature based on Grover's algorithm. Although existing
quantum SAT solvers can consider all possible inputs at once, they evaluate
each clause in the formula one by one sequentially, making the time complexity
O(m) -- linear to the number of clauses m -- per Grover iteration. In this
work, we develop a parallel quantum SAT solver, which reduces the time
complexity in each iteration from linear time O(m) to constant time O(1) by
utilising extra entangled qubits. To further improve the scalability of our
solution in case of extremely large problems, we develop a distributed version
of the proposed parallel SAT solver based on quantum teleportation such that
the total qubits required are shared and distributed among a set of quantum
computers (nodes), and the quantum SAT solving is accomplished collaboratively
by all the nodes. We have proved the correctness of our approaches and
demonstrated them in simulations.
Related papers
- Iterative quantum optimization of spin glass problems with rapidly oscillating transverse fields [0.0]
We introduce a new iterative quantum algorithm, called Iterative Symphonic Tunneling for Satisfiability problems (IST-SAT)
IST-SAT solves quantum spin glass optimization problems using high-frequency oscillating transverse fields.
arXiv Detail & Related papers (2024-08-13T02:09:30Z) - Quantum Approximate Optimisation for Not-All-Equal SAT [9.427635404752936]
We apply variational quantum algorithm QAOA to a variant of satisfiability problem (SAT): Not-All-Equal SAT.
We show that while the runtime of both solvers scales exponentially with the problem size, the scaling for QAOA is smaller for large enough circuit depths.
arXiv Detail & Related papers (2024-01-05T15:11:24Z) - Quantum algorithms: A survey of applications and end-to-end complexities [90.05272647148196]
The anticipated applications of quantum computers span across science and industry.
We present a survey of several potential application areas of quantum algorithms.
We outline the challenges and opportunities in each area in an "end-to-end" fashion.
arXiv Detail & Related papers (2023-10-04T17:53:55Z) - Machine Learning for SAT: Restricted Heuristics and New Graph
Representations [0.8870188183999854]
SAT is a fundamental NP-complete problem with many applications, including automated scheduling.
To solve large instances, SAT solvers have to rely on Booleans, e.g., choosing a branching variable in DPLL and CDCL solvers.
We suggest a strategy of making a few initial steps with a trained ML model and then releasing control to classical runtimes.
arXiv Detail & Related papers (2023-07-18T10:46:28Z) - A hybrid Quantum proposal to deal with 3-SAT problem [75.38606213726906]
This paper presents and describes a hybrid quantum computing strategy for solving 3-SAT problems.
The performance of this approximation has been tested over a set of representative scenarios when dealing with 3-SAT from the quantum computing perspective.
arXiv Detail & Related papers (2023-06-07T12:19:22Z) - Quantum Clustering with k-Means: a Hybrid Approach [117.4705494502186]
We design, implement, and evaluate three hybrid quantum k-Means algorithms.
We exploit quantum phenomena to speed up the computation of distances.
We show that our hybrid quantum k-Means algorithms can be more efficient than the classical version.
arXiv Detail & Related papers (2022-12-13T16:04:16Z) - 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) - Transformer-based Machine Learning for Fast SAT Solvers and Logic
Synthesis [63.53283025435107]
CNF-based SAT and MaxSAT solvers are central to logic synthesis and verification systems.
In this work, we propose a one-shot model derived from the Transformer architecture to solve the MaxSAT problem.
arXiv Detail & Related papers (2021-07-15T04:47:35Z) - Adiabatic Quantum Graph Matching with Permutation Matrix Constraints [75.88678895180189]
Matching problems on 3D shapes and images are frequently formulated as quadratic assignment problems (QAPs) with permutation matrix constraints, which are NP-hard.
We propose several reformulations of QAPs as unconstrained problems suitable for efficient execution on quantum hardware.
The proposed algorithm has the potential to scale to higher dimensions on future quantum computing architectures.
arXiv Detail & Related papers (2021-07-08T17:59:55Z) - Quantum verification of NP problems with single photons and linear
optics [14.092977584342378]
Quantum verification algorithms encode the solution into quantum bits rather than classical bit strings.
By using tunable optical setups, we efficiently verify satisfiable and unsatisfiable SAT instances.
Our results open an essentially new route towards quantum advantages and extend the computational capability of optical quantum computing.
arXiv Detail & Related papers (2020-08-12T17:37:22Z)
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.