在方法学创新方面，孙博士率先将两亲性共聚高分子引入冷冻电镜的膜蛋白研究中，并依托该前沿技术成功解析了替代性复合物三的亚基空间排布与电子传递网络。此外，他利用重组抗体技术成功从脑组织中纯化出关键的神经受体（γ-氨基丁酸受体），并通过冷冻电镜系统阐明了其复杂的组装模式与药理学机制。相关核心成果已在 Nature、PNAS、J. Am. Chem. Soc.、Biochemistry ...

"Machine Learning in Quantum Sciences", outcome of a collaborative effort from world-leading experts, offers both an introduction to machine learning and deep neural networks, and an overview of their ...

Artificial intelligence (AI) and quantum technologies represent two of the most transformative scientific frontiers of the 21st century. While quantum ...

Quantum computing appears on track to help companies in three main areas: optimization, simulation and machine learning. The appeal of quantum machine learning lies in its potential to tackle problems ...

In their simulated system, image data is first simplified using a process called principal component analysis (PCA), which reduces the amount of information while preserving key features. A complex ...

New hybrid quantum applications show quantum computing’s ability to optimize materials science properties using Quantum-Enhanced Generative Adversarial Networks (QGANs) and fine-tune LLM models using ...

Quantum machine learning is being explored as the next frontier in cybersecurity, but new research shows it remains far from replacing established artificial intelligence systems in detecting phishing ...

Neural networks revolutionized machine learning for classical computers: self-driving cars, language translation and even artificial intelligence software were all made possible. It is no wonder, then ...

Newly listed Xanadu Quantum Technologies, Inc. XNDU shares climbed on Thursday as investors cheered the company's debut on ...

The computational demands of today’s AI systems are starting to outpace what classical hardware can deliver. How can we fix this? One possible solution is quantum machine learning (QML). QML ...