题目:Quantum Machine Learning and its applications 时间:2022年3月17日(周四)16:00 主办方:Intelligent Computing 报告人简介: 俞上,男,之江实验室量子传感研究中心博士后。2020年于中国科学技术大学获博士学位,长期从事量子计算、量子模拟领域的实验研究,获得2018年度博士研究生国家奖学金,2020年度中科院院长奖。研究...
Machine learning is a branch of artificial intelligence that is being used at a large scale to solve science, engineering, and medical tasks. Quantum computing is an emerging technology that has a very high computational ability to solve complex problems. Classical machine learning ...
machine learningQuantum matter, the research field studying phases of matter whose properties are intrinsically quantum mechanical, draws from areas as diverse as hard condensed matter physics, materials science, statistical mechanics, quantum information, quantum gravity, and large-scale numerical ...
Applications of Quantum Machine Learning Quantum machine learning has many applications across different domains - 1. Drug Discovery and Healthcare In drug discovery, researchers need to explore vast chemical spaces and simulate molecular interactions. Quantum machine learning can accelerate these processes ...
At the intersection of machine learning and quantum computing, quantum machine learning has the potential of accelerating data analysis, especially for quantum data, with applications for quantum materials, biochemistry and high-energy physics. Neverthel
Machine learning advances chemistry and materials science by enabling large-scale exploration of chemical space based on quantum chemical calculations. While these models supply fast and accurate predictions of atomistic chemical properties, they do not
Machine Learning Quantum Quantum Machine Learning Quantum Research The power of quantum neural networks Research Amira Abbas, David Sutter, and Stefan Woerner 02 Jul 2021 Quantum Quantum Machine Learning Quantum Research IBM Quantum Challenge generates better solutions than challenge creators thought possible...
The interplay between machine learning and quantum physics holds the intriguing potential for bringing practical applications to the modern society. Here, we focus on quantum neural networks in the form of parameterized quantum circuits. We will mainly discuss different structures and encoding strategies ...
The use of quantum computing for machine learning is among the most exciting prospective applications of quantum technologies. However, machine learning tasks where data is provided can be considerably different than commonly studied computational tasks. In this work, we show that some problems that ar...
reinforcement learning and quantum finance approaches applied in financial domain.Section 10illustrates comparison between traditional and ML-based approaches. InSection 11, we report the final considerations of this paper. 2. Research Methodology