科技报告详细信息
Quantum Machine Learning
Biswas, Rupak
关键词: MACHINE LEARNING;    QUANTUM COMPUTATION;    QUANTUM MECHANICS;    ARTIFICIAL INTELLIGENCE;    SPACE EXPLORATION;    EARTH SCIENCES;    RELATIVISTIC EFFECTS;    TIME;    NASA PROGRAMS;   
RP-ID  :  ARC-E-DAA-TN51254
美国|英语
来源: NASA Technical Reports Server
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【 摘 要 】

Quantum computing promises an unprecedented ability to solve intractable problems by harnessing quantum mechanical effects such as tunneling, superposition, and entanglement. The Quantum Artificial Intelligence Laboratory (QuAIL) at NASA Ames Research Center is the space agency's primary facility for conducting research and development in quantum information sciences. QuAIL conducts fundamental research in quantum physics but also explores how best to exploit and apply this disruptive technology to enable NASA missions in aeronautics, Earth and space sciences, and space exploration. At the same time, machine learning has become a major focus in computer science and captured the imagination of the public as a panacea to myriad big data problems. In this talk, we will discuss how classical machine learning can take advantage of quantum computing to significantly improve its effectiveness. Although we illustrate this concept on a quantum annealer, other quantum platforms could be used as well. If explored fully and implemented efficiently, quantum machine learning could greatly accelerate a wide range of tasks leading to new technologies and discoveries that will significantly change the way we solve real-world problems.

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