The theory of quantum algorithms promises unprecedented benefits of harnessing the laws
of quantum mechanics for solving certain computational problems. A prerequisite for …

Bioinformatics has revolutionized biology and medicine by using computational methods to
analyze and interpret biological data. Quantum mechanics has recently emerged as a …

Quantum computing represents a revolutionary computational paradigm with the potential to
address challenges beyond classical computers' capabilities. The development of robust …

Associative memories constructed and operating in the presence of big data offer an
effective way to realize association mechanisms aimed at storing and recalling items. In this …

This paper revisits the dense associative memory (DAM) networks and studies rigorously the
capacity of the DAM networks. We present the capacity theorem of the DAM networks with …

Abstract Probabilistic Quantum Memory (PQM) is a data structure that computes the distance
from a binary input to all binary patterns stored in superposition on the memory. This data …

In this paper, we design a quantum associative classifier, which includes pattern storage
and pattern classification. For pattern storage, we present a method to construct quantum …

针对现有联想分类器不能存储重复样本的问题, 提出一种基于Hamming 距离和量子搜索算法的
量子联想分类器设计方法, 并给出联想分类器存储和分类的线路图. 该方法需提前准备5 …

In this thesis, we investigate whether quantum algorithms can be used in the field of
machine learning for both long and near term quantum computers. We will first recall the …

This work presents a quantum associative memory (Alpha-Beta HQAM) that uses the
Hamming distance for pattern recovery. The proposal combines the Alpha-Beta associative …