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相关论文: Application of Pontryagin's Minimum Principle to G…

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We use Pontryagin's minimum principle to optimize variational quantum algorithms. We show that for a fixed computation time, the optimal evolution has a bang-bang (square pulse) form, both for closed and open quantum systems with Markovian…

量子物理 · 物理学 2017-05-30 Zhi-Cheng Yang , Armin Rahmani , Alireza Shabani , Hartmut Neven , Claudio Chamon

Grover's algorithm is a cornerstone of quantum algorithms and is strictly optimal in oracle-query complexity. While the full search problem admits no further improvement, one may trade accuracy for speed in the partial search problem, where…

量子物理 · 物理学 2026-04-20 Kun Zhang , Kang-Yuan Chen , Xiao-Hui Wang , Vladimir Korepin

We present a continuous time quantum search algorithm analogous to Grover's. In particular, the optimal search time for this algorithm is proportional to $\sqrt{N}$, where $N$ is the database size. This search algorithm can be implemented…

量子物理 · 物理学 2009-11-11 A. Romanelli , A. Auyuanet , R. Donangelo

We introduce an iterative method to search for time-optimal Hamiltonians that drive a quantum system between two arbitrary, and in general mixed, quantum states. The method is based on the idea of progressively improving the efficiency of…

量子物理 · 物理学 2019-12-25 Francesco Campaioli , William Sloan , Kavan Modi , Felix Alexander Pollock

A quantum computer encodes information in quantum states and runs quantum algorithms to surpass the classical counterparts by exploiting quantum superposition and quantum correlation. Grover's quantum search algorithm is a typical quantum…

量子物理 · 物理学 2023-08-23 Yutong Huang , Shengshi Pang

Quantum computation has attracted much attention since it was shown by Shor and Grover the possibility to implement quantum algorithms able to realize, respectively, factoring and searching in a faster way than any other known classical…

量子物理 · 物理学 2007-05-23 Rubens Viana Ramos , Paulo Benicio de Sousa , David Sena Oliveira

A Hamiltonian algorithm, both theoretical and numerical, to obtain the reduced equations implementing Pontryagine's Maximum Principle for singular linear-quadratic optimal control problems is presented. This algorithm is inspired on the…

最优化与控制 · 数学 2012-04-13 M. Delgado-Tellez , A. Ibort

We apply the theory of optimal control to the dynamics of two "gmon" qubits, with the goal of preparing a desired entangled ground state from an initial unentangled one. Given an initial state, a target state, and a Hamiltonian with a set…

量子物理 · 物理学 2018-07-02 Seraph Bao , Silken Kleer , Ruoyu Wang , Armin Rahmani

Quantum algorithms use the principles of quantum mechanics, as for example quantum superposition, in order to solve particular problems outperforming standard computation. They are developed for cryptography, searching, optimisation,…

Grover's search algorithm is the optimal quantum algorithm that can search an unstructured database quadratically faster than any known classical algorithm. The role of entanglement and correlations in the search algorithm have been studied…

量子物理 · 物理学 2016-11-15 Namit Anand , Arun Kumar Pati

Reliable high-fidelity quantum state transformation has always been considered as an inseparable part of quantum information processing. In this regard, Pontryagin maximum principle has proved to play an important role to achieve the…

量子物理 · 物理学 2023-02-21 Nahid Binandeh Dehaghani , A. Pedro Aguiar

Using the Pontryagin maximum principle, the generic structure of optimal policies is deduced for typical quantum control tasks involving coherent lasers, magnetic fields and reservoir engineering. In addition, the periodic optimization is…

量子物理 · 物理学 2018-01-09 Dmitry V. Zhdanov , Tamar Seideman

Finding a minimum is an essential part of mathematical models, and it plays an important role in some optimization problems. Durr and Hoyer proposed a quantum searching algorithm (DHA), with a certain probability of success, to achieve…

新兴技术 · 计算机科学 2024-05-14 Wenjie Liu , Qingshan Wu , Jiahao Shen , Jiaojiao Zhao , Mohammed Zidan , Lian Tong

Grover's algorithm constitutes the optimal quantum solution to the search problem and provides a quadratic speed-up over all possible classical search algorithms. Quantum interference between computational paths has been posited as a key…

量子物理 · 物理学 2016-10-11 Ciarán M. Lee , John H. Selby

One of the most important quantum algorithms ever discovered is Grover's algorithm for searching an unordered set. We give a new lower bound in the query model which proves that Grover's algorithm is exactly optimal. Similar to existing…

量子物理 · 物理学 2022-02-01 Catalin Dohotaru , Peter Hoyer

Grover's algorithm provides a quadratic speedup over classical algorithms for searching unstructured databases and is known to be strictly optimal in oracle query complexity, with tight bounds on its success probability. Although the…

量子物理 · 物理学 2026-03-03 Yan-Bo Jiang , Xiao-Hui Wang , Kun Zhang , Vladimir Korepin

Grover's search algorithm provides a quadratic speedup over classical brute-force search in terms of query complexity and is widely used as a versatile subroutine in numerous quantum algorithms, including those for combinatorial problems…

量子物理 · 物理学 2026-01-27 Eunok Bae , Jeonghyeon Shin , Minjin Choi

Finding the optimal solution to a complex optimization problem is of great importance in practically all fields of science, technology, technical design and econometrics. We demonstrate that a modified Grover's quantum algorithm can be…

量子物理 · 物理学 2015-05-13 Jing Zhu , Zhen Huang , Sabre Kais

The search problem is to find a state satisfying certain properties out of a given set. Grover's algorithm drives a quantum computer from a prepared initial state to the target state and solves the problem quadratically faster than a…

量子物理 · 物理学 2009-11-13 Avatar Tulsi

Given a parameterized quantum circuit such that a certain setting of these real-valued parameters corresponds to Grover's celebrated search algorithm, can a variational algorithm recover these settings and hence learn Grover's algorithm? We…

量子物理 · 物理学 2019-01-02 Mauro E. S. Morales , Timur Tlyachev , Jacob Biamonte
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