Quantum Cardiovascular Medicine: From Hype to Hope-A Critical Review of Real-World Applications [0.03%]
量子心血管医学：从炒作到希望——现实世界应用批判性评论
Marek Tomala,Maciej Kłaczyński
Marek Tomala
Results: We identified three core application areas: (1) quantum sensing, such as cardiac magnetometry, where there is potential for SQUID magnetocardiography to be used for detecting cardiomyopathy; (2) quantum computing for cardiovascular risk prediction, and (3) next-generation quantum sensors for
Federated quantum-inspired anomaly detection using collaborative neural clients [0.03%]
基于协作神经网络客户端的联合量子启发式异常检测
Deepthi Godavarthi,Venkata Charan Sathvik Rekapalli,Sribidhya Mohanty et al.
Deepthi Godavarthi et al.
To fill in these gaps, this research proposes a completely novel quantum-inspired federated learning approach to anomaly detection that keeps data private and allows for further implementations of quantum computing applications....This work, thereby, offers a useful federated learning approach towards anomaly detection while going a step further towards the incorporation of quantum computing into secure, distributed AI systems.
M Canteri,Z X Koong,J Bate et al.
M Canteri et al.
Establishing networks of quantum processors offers a path to scalable quantum computing and applications in communication and sensing. This requires first developing efficient interfaces between photons and multiqubit registers.
Surface-Morphology-Assisted Trapping of Strongly Coupled Electron-on-Neon Charge States [0.03%]
表面形态辅助的强耦合电子-氖荷态陷阱效应
Kaiwen Zheng,Xingrui Song,Kater W Murch
Kaiwen Zheng
Single electrons confined to a free neon surface and manipulated through the circuit quantum electrodynamics architecture is a promising novel quantum computing platform.
Quantum intelligence in drug discovery: Advancing insights with quantum machine learning [0.03%]
量子智能在药物发现中的应用：利用量子机器学习推动新见解
Danishuddin,Azizul Haque,Vikas Kumar et al.
Danishuddin et al.
Quantum machine learning (QML) has emerged as a powerful alternative, combining quantum computing with artificial intelligence to address these limitations. By harnessing the ability of quantum systems to process high-dimensional data efficiently, QML promises improved accuracy and scalability.
Transformational Advances in the Case for 1D Superconductivity Over 3D: Uncovering Science and Envisioning the Future [0.03%]
从三维到一维超导性转变式进展：揭示科学并展望未来
Ka Chun Li,Wai Kwan Liu,Yan Ming Yeung et al.
Ka Chun Li et al.
This involves examining the intriguing possibilities of superconductivity in topological systems, where the existence of Majorana modes could lead to breakthroughs in quantum computing and other technologies.
Localized statistics decoding for quantum low-density parity-check codes [0.03%]
量子低密度奇偶校验码的本地统计解码方法研究
Timo Hillmann,Lucas Berent,Armanda O Quintavalle et al.
Timo Hillmann et al.
Quantum low-density parity-check codes are a promising candidate for fault-tolerant quantum computing with considerably reduced overhead compared to the surface code. However, the lack of a practical decoding algorithm remains a barrier to their implementation.
Chiral spontaneous photon-pair generation with plasmonic bound states in the continuum [0.03%]
具有手性的等离激元连续谱限界态的自发光子对生成现象
Sky Semone,Matthew J Brandsema,Christos Argyropoulos
Sky Semone
Circularly polarized SPDC-based sources with an efficient chiral response are currently missing, which severely precludes the realization of a wide range of practical applications in quantum computing and communications.
Ultralow-Temperature Magnetic Refrigeration Inorganic Materials: From Designed Synthesis to Adiabatic Demagnetization Refrigeration [0.03%]
超低温磁制冷无机材料：从设计合成到绝热去磁制冷
Qiao-Fei Xu,Ruo-Tong Wu,La-Sheng Long et al.
Qiao-Fei Xu et al.
With the rapid growth of quantum computing and astronomical observation, there is a pressing need for large-capacity ADR systems─underscoring the critical demand for magnetic refrigerants capable of generating substantial magnetic entropy changes (-ΔSm) at millikelvin temperatures.
Quantum Computing in Drug Discovery Techniques, Challenges, and Emerging Opportunities [0.03%]
量子计算在药物发现中的技术、挑战和新兴机遇
Virendra S Gomase,Arjun P Ghatule,Rupali Sharma et al.
Virendra S Gomase et al.
The objective of this study is to explore the potential of quantum computing in drug discovery and development, highlighting its ability to reduce time and costs while accelerating the identification of promising drug candidates....Discussion: This study examines the applications of quantum computing in drug discovery, highlighting key techniques such as quantum simulation, quantum machine learning, and optimization algorithms.
耗时 0.13116 秒，为您在
48651590
条记录里面共找到 1761 篇文章 [XML]