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variational quantum computation integer factorization algorithm

INTERNATIONAL JOURNAL OF THEORETICAL PHYSICS 2023年第11期62卷 1-20页

作者： Zhang, Xinglan Zhang, Feng Beijing Univ Technol Fac Informat Technol Beijing 100124 Peoples R China Beijing Key Lab Trusted Comp Beijing 100124 Peoples R China

The integer factorization problem is a major challenge in the field of computer science, and Shor's algorithm provides a promising solution for this problem. However, Shor's algorithm involves complex modular exponentiation computation, which leads to the construction of complicated quantum circuits. Moreover, the precision of continued fraction computations in Shor's algorithm is influenced by the number of qubits, making it difficult to implement the algorithm on Noisy Intermediate-Scale quantum (NISQ) computers. To address these issues, this paper proposes variational quantum computation integer factorization (VQCIF) algorithm based on variational quantum algorithm (VQA). Inspired by classical computing, this algorithm utilizes the parallelism of quantum computing to calculate the product of parameterized quantum states. Subsequently, the quantum multi-control gate is used to map the product satisfying pq = N onto an auxiliary qubit. Then the variational quantum circuit is adjusted by the optimizer, and it is possible to obtain a prime factor of the integer N with a high probability. While maintaining generality, VQCIF has a simple quantum circuit structure and requires only 2n + 1 qubits. Furthermore, the time complexity is exponentially accelerated. VQCIF algorithm is implemented using the Qiskit framework, and tests are conducted on factorization instances to demonstrate its feasibility.

关键词： integer factorization Shor's algorithm variational quantum algorithm variational quantum computation integer factorization algorithm Qiskit

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