[PDF] Top 20 Quantum Inspired Neural Networks with Application

... of quantum computation, and then P.W. Shor gave the first quantum algorithm of very large integer factorization [1] in 1994 and ...a quantum algorithm which searches a marked state in an unordered ... See full document

... In this paper, in order to fully simulate biological neuronal information processing mechanisms and to en- hance the approximation and generalization ability of ANN, we proposed a quantum-inspired ... See full document

... trials. Inspired by the work in [30], we compare the abilities of quantum QR distributional Q learning and quantum Q learning to explore a MDP ...that quantum QR distribu- tional Q learning ... See full document

... Abstract: Neural networks represent a brain metaphor for information ...biologically inspired rather than an exact replica of how the brain actually ...functions. Neural networks have ... See full document

... Neural networks as used for deep learning / machine learning are based on the Ising ...is inspired by this model but we will implicitly also use the spin networks known from quantum ... See full document

... Inspired by human and animal behavior of learning from experience, RL is a method of solving sequential decision-making problems with an agent by trial and error in a known (with a model) or unknown (without a ... See full document

... open quantum systems to investigate quantum effects in the dynamics of neural ...cavity quantum electrodynamics with disorder ...system quantum generalization of the simplest model of ... See full document

... It is alm o st im p o ssib le to esta b lish a mathematical model of the polishing rate due to a num ber o f influential parameters, which will be described later. Therefore, one o f the goals o f this p a p e r, w h ich ... See full document

... 2.1 Latent space based Unsupervised NMT A few works (Lample et al., 2017; Artetxe et al., 2017; Lample et al., 2018) have emerged recently to deal with neural machine translation without using parallel corpora, ... See full document

... artificial neural network theories have shown good capabilities in performing character ...the application of neural networks in recognizing characters from a printed script is ... See full document

... forward networks, the signal flow is from input to output units, which is termed as feed-forward ...other neural network architectures (Elman network, adaptive resonance theory maps, competitive ... See full document

... [6] L. Zhao, J. pei Zhang, J. Yang, and Y. Chu, “Software reliability growth model based on fuzzy wavelet neural network,” in 2nd International Conference on Future Computer and Communication (ICFCC), vol. 1. ... See full document

... Knowledge Embedding. Our method is inspired by re- cent advances in knowledge representation learning (Bor- des et al. 2013; Xie et al. 2016; Xie, Liu, and Sun 2016; Lin et al. 2015; Nie et al. 2015), where the ... See full document

... position to formal neurons, have a constant firing ampli- tude. This coding yields noise and interference robustness while facilitating adaptive and dynamic synapses (link be- tween neurons) for unsupervised and ... See full document

... the quantum potential well, by which they firstly put for- ward quantum behavior particle swarm algorithm ...of quantum-inspired genetic algorithm is how to design the coding scheme and the ... See full document

... Over the past decade, there has been an exponential growth in the number and scale of online lending and crowdfunding platforms. However, these platforms lack a reliable and transparent metric to predict the ... See full document

... artificial neural networks, decision tree, support vector machines are the tools of machine learning which are widely used in many predictive analytics ... See full document

... of quantum thermodynamics, we propose a method to quantitatively describe thermodynamic quantities for out-of-equilibrium interacting many-body ...average quantum work to high accuracy: for a very large ... See full document

... Bloch quantum genetic algorithm [12], elite genetic algorithm, quantum delta potential-based particle swarm optimization [16], we ve- rify the superiority of ... See full document

... The inequality (35) is of fundamental importance: it confirms existence of such an isolated dynamical system that violates the second law of thermodynamics by decreasing the entropy during some period of time while ob- ... See full document