Numerous studies have examined the application of quantum machine learning (QML) in healthcare and validated its superiority over classical ML algorithms. Objectives: This review investigates and reports the oncological applications of QML. Methods: In March 2023, an electronic investigation o...
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...
quantum mechanicsWe all have been using classical computers for a long time. Quantum computing uses the phenomena of quantum mechanics like superposition and entanglement. Quantum computations can help achieve for the breakthroughs we have been looking for in science, machine learning, financial planning...
Yuki Kanabuko - Inequalities defining polyhedral realizations of affine types an 43:37 Rinat Kedem - Quantum relativistic Toda Hamiltonians associated with a family of 39:07 Marcus Khuri - Spacetime harmonic functions and applications 46:22 Sven Hirsch - Stability of Llarull’s theorem in all...
The advent of quantum computing introduces new challenges for security and privacy. This poster explores the performance and security implications of quantum computing through a case study of machine learning in a real-world application. We compare the performance of quantum machine learning (QML) ...
题目:Hybrid Quantum-Classical Machine Learning with Applications | Quantum Computer System Lecture Series 报告人:Dr. Samuel Yen-Chi Chen, 富国银行资深软件工程师 时间:2023年4月20日(周四)22:00 主…
Quantum mechanicsMachine learningNeural networksDrug discoveryEnergy materialsIndustrial applicationsAtomistic simulations have become an invaluable tool for industrial applications ranging from the optimization of protein-ligand interactions for drug discovery to the design of new materials for energy applications....
In the context of quantum technologies, the generation and manipulation of single photons has become a key element for applications such as quantum communication and quantum computing, as well as quantum metrology, biology and experiments probing the foundations of quantum physics discussed in an accomp...
//quantum-machine.org/datasets/ https://github.com/isayev/ANI1_dataset http://quantum-machine.org/datasets https://tox21.gov/resources/ https://cccbdb.nist.gov/ https://doi.org/10.6084/m9.figshare.1610063 https://cmr.fysik.dtu.dk/c2db/c2db.html https://github.com/MobleyLab/FreeSolv ...
PennyLane is a platform for Quantum Computing and Machine Learning (ML). It integrates with ML libraries such as PyTorch and TensorFlow, allowing researchers to create and optimize circuits and algorithms. It also offers a range of hardware backends from different QPU providers....