QuCS讲座 | 当下量子计算机上的量子机器学习 | 美国东北大学Daniel Silver博士生

讲座主题：

Quantum Machine Learning on Current Quantum Computers

时间：

美东时间8月31日上午10点30到11点30，

北京时间8月31日晚上10点30到11点30

Zoom Link:

https://notredame.zoom.us/j/99013211531?pwd=UW5Wa1ltTEVqY25CczRvUzNhTmQ0dz09

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http://eepurl.com/h5O0Az

演讲人：

Daniel Silver, 东北大学博士生

摘要

量子计算有可能加速机器学习中的许多任务。量子计算的叠加、纠缠和可逆性等特性使其有别于经典计算。然而，在当前量子计算的噪声中等规模量子（NISQ）时代，这项技术的应用面临许多挑战。这个时代的特点是量子硬件噪声水平高，量子计算机体积相对较小。尽管如此，目前的技术仍能以创新的方式用于执行机器学习任务。本讲座将介绍用于解决分类、相似性检测和图像生成问题的量子机器学习解决方案。具体来说，本讲座将重点介绍如何利用量子计算机执行当今机器学习任务的最新研究。

Quantum computing has the potential to speed up many tasks in machine learning. Properties of quantum computing such as superposition, entanglement, and reversibility, set it apart from classical computing. However, there are many challenges to the adaptation of this technology in the current noisy intermediate-scale quantum (NISQ) era of quantum computing. This era is characterized by high levels of quantum hardware noise and relatively small-sized quantum computers. Nonetheless, the current technology can still be used in innovative ways to execute machine-learning tasks. This talk presents quantum machine learning solutions for solving problems in classification, similarity detection, and image generation. Specifically, this talk will focus on recent research on how quantum computers can be used to execute machine learning tasks today.

作者简介

Daniel Silver是美国东北大学（Northeastern University）的一名博士候选人，主要研究方向是将机器学习原理与新兴的量子计算领域相结合。在攻读博士学位之前，丹尼尔还获得了东北大学计算机工程学士学位和机器学习硕士学位。他的研究成果曾在 AAAI、ICCV、SC、ISCA 和 DATE 等顶级会议上发表。

Daniel Silver is a Ph.D. Candidate at Northeastern University with a focus on integrating the principles of machine learning with the emerging field of quantum computing. Before starting his Ph.D. journey, Daniel also received his B.Sc. in Computer Engineering and M.Sc. in Machine Learning from Northeastern University. He has published his research at top-tier conference venues such as AAAI, ICCV, SC, ISCA, and DATE.

关于ND Quantum Computing

ND Quantum Computing 是由美国圣母大学计算机科学与工程系博士生Zhiding Liang与麻省理工学院电子工程与计算机系博士生Hanrui Wang发起的量子计算系列讲座。

Quantum Computer System Lecture Seriess（QuCS）是为没有量子计算背景但对此感兴趣的观众建立基本的量子知识，同时通过邀请量子计算领域的专家来介绍该领域更先进的研究课题。

内容精品，开放于对量子计算感兴趣的志同道合的关注者。

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