Professor Pan Jianwei of the University of Science and Technology of China and his colleagues Lu Chaoyang and Liu Naile have achieved the first quantum machine learning algorithm in the world. Recently, the international authoritative physical journal Physical Review Express published this paper [Phys. Rev. Lett. 114, 110504 (2015)]. This is a groundbreaking experimental work for the application of quantum computing in big data analysis and artificial intelligence. Machine learning is the core of artificial intelligence. It enables the machine to simulate human learning behavior and intelligently gain experience from past experiences, thereby improving its overall performance, reorganizing the internal knowledge structure, and accurately inferring unknown events. Machine learning has a wide range of applications in many areas of science and engineering, such as financial analysis, data mining, bioinformatics, medical diagnosis, and so on. Some intelligent systems that are common in life also widely use machine learning algorithms such as e-commerce, handwriting input, and email filtering. With the arrival of the era of big data, human-generated electronic data is exploding in an explosion that is doubling every two years. It has been estimated that the total amount of data generated by humans over the past three years exceeds the total amount of data generated over the previous few millennia. On the other hand, with the advent of the post-Moore era, it is difficult to further shrink the size of classic computer chips and limit the further increase in computing speed. Scientists predict that big data analysis tasks such as machine learning will face enormous challenges in the future. To cope with this challenge, governments and high-tech companies in major developed countries in the United States and Europe are already actively integrating research strengths and resources, taking a swift approach to the beach layout, and striving to take the lead in the application of quantum information technology. For example, in 2013, NASA and Google jointly established a quantum artificial intelligence laboratory. In 2014, the Oxford University of Oxford, Nokia Corporation, and Lockheed Martin, the world's largest arms supplier, built a quantum optimization and machine learning center. In 2013, Prof. Seth Lloyd of the Massachusetts Institute of Technology (MIT) proposed a theoretical prediction that using quantum systems to handle parallel computational advantages in high-dimensional vectors can bring finger-level acceleration to machine learning. Will be able to far beyond the speed of the existing classic computer computing. Theory estimates that computing the distance between two billion-giga-megapixel vectors will take about ten years with the current fastest computer with a billion-gigabit-per-second computing speed, and less than one with a quantum computer with a GHz clock frequency. Seconds of time. Pan Jianwei's team has developed a world-leading research platform for the implementation of light quantum computing physics. It has pioneered the demonstration of machine learning algorithms based on qubits in the world. The core of the algorithm is to quickly extract information such as inner product and Euclidean distance between different vectors by entanglement of microscopic quantum states and auxiliary qubits encoded in classical data. The reviewers unanimously appraised that the work was “very frontier, highly interested†and “the first step in this important and interesting topic of quantum machine learningâ€. PhysOrg and other international scientific news media reported this work. Under the long-term support of the Chinese Academy of Sciences, the Ministry of Education, the Ministry of Science and Technology, and the Development and Investment Commission, Pan Jianwei’s team has conducted systematic and strategic research on optical quantum computing and has achieved a series of groundbreaking results: the first in the world to achieve five-photon, Six-photon and eight-photon entanglement were used to fabricate the single-photon source with the highest quality quantum dots. A quantum computing demonstration demonstration platform based on multi-photon bit manipulation was constructed. Photonic logic gates, tolerance coding, topological quantum correction, multi-degree of freedom invisibility were developed. For the study of scalable quantum computing, for example, for the first time, the implementation of the Sholl's large number decomposition algorithm, the quantum simulation of arbitrary sub-fraction statistics, the solution of the linear equations quantum algorithm and the quantum artificial intelligence algorithm, etc., have been maintained in the field of optical quantum computing. International leader.
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