Distributed Phase Estimation Algorithm and Distributed Shor's Algorithm

Fuente: arXiv
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Autores principales: Xiao, Ligang, Qiu, Daowen, Luo, Le, Mateus, Paulo
Formato: Preprint
Publicado: 2023
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author Xiao, Ligang
Qiu, Daowen
Luo, Le
Mateus, Paulo
author_facet Xiao, Ligang
Qiu, Daowen
Luo, Le
Mateus, Paulo
contents Shor's algorithm is one of the most significant quantum algorithms. Shor's algorithm can factor large integers with a certain success probability in polynomial time. However, Shor's algorithm requires an unbearable amount of qubits in the NISQ (Noisy Intermediate-scale Quantum) era. To reduce the resources required for Shor's algorithm, in this paper we first propose a new distributed phase estimation algorithm. Our distributed phase estimation algorithm does not require quantum communication and it reduces the number of qubits of a single node compared to the traditional phase estimation algorithm (non-iterative version). Then we apply our distributed phase estimation algorithm to form a distributed order-finding algorithm for Shor's algorithm. Compared with the traditional Shor's algorithm (non-iterative version), the maximum number of qubits required by a single node of our dristributed order-finding algorithm is reduced by $(2-\dfrac{2}{k})L-\log_2k-O(1)$ when factoring an $L$-bit integer ($k$ is the number of compute nodes). The communication complexity of our distributed order-finding algorithm is $O(kL)$.
format Preprint
id arxiv_https___arxiv_org_abs_2304_12100
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Distributed Phase Estimation Algorithm and Distributed Shor's Algorithm
Xiao, Ligang
Qiu, Daowen
Luo, Le
Mateus, Paulo
Quantum Physics
Shor's algorithm is one of the most significant quantum algorithms. Shor's algorithm can factor large integers with a certain success probability in polynomial time. However, Shor's algorithm requires an unbearable amount of qubits in the NISQ (Noisy Intermediate-scale Quantum) era. To reduce the resources required for Shor's algorithm, in this paper we first propose a new distributed phase estimation algorithm. Our distributed phase estimation algorithm does not require quantum communication and it reduces the number of qubits of a single node compared to the traditional phase estimation algorithm (non-iterative version). Then we apply our distributed phase estimation algorithm to form a distributed order-finding algorithm for Shor's algorithm. Compared with the traditional Shor's algorithm (non-iterative version), the maximum number of qubits required by a single node of our dristributed order-finding algorithm is reduced by $(2-\dfrac{2}{k})L-\log_2k-O(1)$ when factoring an $L$-bit integer ($k$ is the number of compute nodes). The communication complexity of our distributed order-finding algorithm is $O(kL)$.
title Distributed Phase Estimation Algorithm and Distributed Shor's Algorithm
topic Quantum Physics
url https://arxiv.org/abs/2304.12100