.png){kind=icon}
返回
Methods for accelerating geospatial data processing using quantum computers
.png){kind=icon}
PRE
AI
DOI：10.1007/s42484-020-00034-6.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Quantum computing is a transformative technology with the potential to enhance operations in the space industry through the acceleration of optimization and machine learning processes. Machine learning processes enable automated image classification in geospatial data. Quantum algorithms provide novel approaches for solving these problems and a potential future advantage over current classical techniques. Universal Quantum Computers, developed by Rigetti Computing and other providers, enable fully general quantum algorithms to be executed, with theoretically proven speed-up over classical algorithms in certain cases. This paper describes an approach to satellite image classification using a universal quantum enhancement to convolutional neural networks: the quanvolutional neural network. Using a refined method, we found a performance improvement over previous quantum efforts in this domain and identified potential refinements that could lead to an eventual quantum advantage. We benchmark these networks using the SAT-4 satellite imagery dataset in order to demonstrate the utility of machine learning techniques in the space industry and the potential benefits that quantum machine learning can offer.
Keyword:
Quantum computing
Machine learning
Satellite imagery
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
Q
IF:
4.4
论文数:
440
被引数:
796
机构
暂无机构信息
引用论文
分享收藏Quanvolutional neural networks: powering image recognition with quantum circuits量子卷积神经网络: 用量子电路为图像识别供电
PREAI
分享收藏Gradient-based learning applied to document recognition基于梯度的学习在文档识别中的应用.png)
PROCEEDINGS OF THE IEEE
PROCEEDINGS OF THE IEEEIF25.9
PREAI
分享收藏Characterizing large-scale quantum computers via cycle benchmarking通过循环基准测试表征大规模量子计算机NATURE COMMUNICATIONS
OAAI
NATURE COMMUNICATIONSIF15.7
OAAI分享收藏Genetic Relationship of Productive Life, Production and Type Traits of Korean Holsteins at Early Lactations韩国荷斯坦牛早期泌乳期生产寿命、生产性能与体型性状的遗传关系
OAAI
OAAI分享收藏Opportunities and challenges for quantum-assisted machine learning in near-term quantum computers近期量子计算机中量子辅助机器学习的机遇与挑战OAAI
OAAI分享收藏
查看更多内容