A Quantum Approximate Optimization Algorithm Quantum Speed-ups for Semidefinite Programming 值得一提的是第二篇提出的QAOA算法是比较火的一个组合优化算法,有空专门来写一下这方面的内容。 量子深度学习(quantum deep learning) 主要是指量子玻尔兹曼机(quantum Boltzmann Machine). 类似于经典的玻尔兹曼机,量子玻尔兹...
In an embodiment, a method includes training, by a first processor, a machine learning model with the training data set for validation of quantum circuits. In an embodiment, a method includes generating, by the machine learning model, a set of rules for validation of quantum circuits.Jay M....
Next to variational quantum eigensolvers in chemistry4 and variants of the quantum approximate optimization algorithm5, machine learning approaches based on such parametrized quantum circuits6 stand as some of the most promising practical applications to yield quantum advantages. In essence, a supervised...
et al. Advances in quantum machine learning. Preprint at https://arxiv.org/abs/1512.02900 (2015) Arunachalam, S. & de Wolf, R. A survey of quantum learning theory. Preprint at https://arxiv.org/abs/1701.06806 (2017) Harrow, A. W., Hassidim, A. & Lloyd, S. Quantum algorithm for ...
量子计算模型包括量子门模型和量子算法模型,是量子计算的核心。 ·量子门模型 Quantum Gate Model 量子门模型类似于经典计算中的逻辑门,通过对量子位应用量子门操作来执行计算。常见的量子门包括Hadamard门、CNOT门和Pauli-X门。 ·量子算法模型 Quantum Algorithm Model ...
In this paper, we establish a rigorous quantum speed-up for supervised classification using a general-purpose quantum learning algorithm that only requires classical access to data. Our quantum classifier is a conventional support vector machine that uses a...
优化问题在人工智能中占据重要地位,尤其是在资源分配、调度和路径规划等应用中。量子计算能够通过量子优化算法,如量子近似优化算法(quantum approximate optimization algorithm, QAOA),有效地解决这些问题。 量子计算的并行性使得其能够在更短的时间内找到最优解或近似最优解。例如,在物流和供应链管理中,量子计算可以帮助...
info : One of the best algorithm suited for Quantum Field ,Here the chromosomes act as qubit vectors ,the crossover part carrying by an evaluation and the mutation part carrying by the rotation of gates PDF1- Very Beautiful Article , well explained and superp ...
Quantum Algorithm Zoomath.nist.gov/quantum/zoo/ 因最近回看该篇所提技术,故从它开始介绍好了。此外还因为:1)该算法同HHL(下篇介绍)一样,为quantum machine learning中的常用subroutine使用。2)该算法提供了一种重要的Hamiltonian Simulation【1】技术。量子主成分分析,乍一看会以为是什么量子版本的PCA,其实不...
Here we consider the task of compiling the unitaryUof then-qubit Quantum Fourier Transform (QFT)69into a short-depth parameterized quantum circuitV(α). ForV(α) we employ the VAns (Variable Ansatz) algorithm62,70, which uses a machine learning protocol to iteratively grow a parameterized quant...