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arXiv:0808.1935 · Physical Review Letters

Quantum Adiabatic Algorithm for Factorization and Its Experimental Implementation

Xinhua Peng, Zeyang Liao, Nanyang Xu, Gan Qin, Xianyi Zhou, Dieter Suter, Jiangfeng Du

Published Nov 26, 2008• 177 citations
arXivHTMLPDF

Abstract

We propose an adiabatic quantum algorithm capable of factorizing numbers, using fewer qubits than Shor's algorithm. We implement the algorithm in a NMR quantum information processor and experimentally factorize the number 21. In the range that our classical computer could simulate, the quantum adiabatic algorithm works well, providing evidence that the running time of this algorithm scales polynomially with the problem size.

DOI
10.1103/physrevlett.101.220405

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We propose an adiabatic quantum algorithm capable of factorizing numbers, using fewer qubits than Shor's algorithm. We implement the algorithm in a NMR quantum information processor and experimentally factorize the number 21. In the range that our classical computer could simulate, the quantum adiabatic algorithm works well, providing evidence that the running time of this algorithm scales polynomially with the problem size.
Quantum algorithms could be much faster than classical ones in solving the factoring problem. Adiabatic quantum computation for this is an alternative approach other than Shor's algorithm. Here we report an improved adiabatic factoring algorithm and its experimental realization to factor the number 143 on a liquid-crystal NMR quantum processor with dipole-dipole couplings. We believe this to be the largest number factored in quantum-computation realizations, which shows the practical importance of adiabatic quantum algorithms.
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I will describe our recent implementation of a five-qubit NMR quantum computer capable of executing a quantum algorithm for order-finding. This is the first demonstration of a quantum algorithm with the structure of Shor's algorithm for efficient prime factorization, a key step in the experimental realization of quantum computers because its structure appears to be common to all quantum algorithms that achieve an exponential speed-up over their classical counterparts. The experiment was made possible by the synthesis of a 5-spin molecule with remarkable NMR properties, and by the introduction of new techniques for state initialization and quantum control.
No polynomial time algorithms have been proposed for the factoring and discrete logarithm problems.However, Shor showed that these problems can be solved by aquantum Turing machine in 1994.Sev- eral devices have been proposed toward the realization of quantum computers.Among them, the NMR quantum computer seems to be the nearest to the target goal.Since the NMR quantum computer has different features from ordinary ones, we cannot directly implement Shor's algorithms.In this paper, we propose new simple algorithms that work on NMR quantum computers to solve the factoring and discrete logarithm problems.
Prime number factorization is a problem in computer science where the solution to that problem takes super-polynomial time classically. Shor’s quantum factoring algorithm is able to solve the problem in polynomial time by harnessing the power of quantum computing. The implementation of the quantum algorithm itself is not detailed by Shor in his paper. In this paper, an approach and experiment to implement Shor’s quantum factoring algorithm are proposed. The implementation is done using Python and a quantum computer simulator from ProjectQ. The testing and evaluation are completed in two computers with different hardware specifications. User time of the implementation is measured in comparison with other quantum computer simulators: ProjectQ and Quantum Computing Playground. This comparison was done to show the performance of Shor’s algorithm when simulated using different hardware. There is a 33% improvement in the execution time (user time) between the two computers with the accuracy of prime factorization in this implementation is inversely proportional to the number of qubits used. Further improvements upon the program that has been developed for this paper is its accuracy in terms of finding the factors of a number and the number of qubits used, as previously mentioned.