上海后花园会所

With the continuous progress of technology, the concept of quantum computing is more and more widely known. As a new computing paradigm, quantum computing is very different from traditional computing methods. It can deal with problems that traditional computers can’t handle, which makes quantum computing have broad application prospects in the field of artificial intelligence. Quantum machine learning, as an important field where quantum computing and artificial intelligence intersect, has a wide and far-reaching application prospect. This paper will introduce the basic concept, principle and application of quantum machine learning, and analyze its future development trend.

First, the basic concepts of quantum machine learning

Quantum machine learning is a technology that uses quantum computing to realize machine learning. Its main purpose is to use the advantages of quantum computing to deal with problems that traditional computers can’t handle and improve the efficiency and accuracy of machine learning. The main difference between quantum machine learning and traditional machine learning is that it uses qubits to store and process data instead of classical bits used in traditional machine learning.

Second, the principle of quantum machine learning

The principles of quantum machine learning mainly include quantum data coding, quantum state preparation and quantum algorithm design. Among them, quantum data coding is the process of coding classical data into quantum States, so that the efficiency and accuracy of machine learning can be improved by using the characteristics of superposition and entanglement of quantum States. Preparation of quantum states is a process of putting qubits into the required quantum states. By controlling and operating qubits, the conversion between different quantum states can be realized, thus realizing various algorithms in machine learning. The design of quantum algorithms is the process of designing and implementing quantum algorithms, which can be optimized on quantum computers, thus achieving the purpose of machine learning.

Third, the application of quantum machine learning

Quantum machine learning is widely used, including classification, clustering, regression, dimensionality reduction and other fields. Here are some applications:

Quantum neural network

Quantum neural network is a new type of neural network, which uses quantum bits to store and process data. Quantum neural network can deal with complex nonlinear problems, which makes it have a wide application prospect in image recognition, speech recognition and other fields.

Quantum support vector machine

Quantum support vector machine is a support vector machine algorithm based on quantum computing, which can process high-dimensional and nonlinear data sets faster and improve the accuracy and efficiency of classification. Quantum support vector machine is widely used in bioinformatics, image processing, financial forecasting and other fields.

Quantum clustering

Quantum clustering is a method to realize clustering analysis by quantum computing, which can process a large number of data faster and improve the accuracy of clustering. Quantum clustering is widely used in biology, image processing, market analysis and other fields.

Quantum dimensionality reduction is a method to realize dimensionality reduction analysis by quantum computing, which can process high-dimensional data faster and reduce the complexity and storage space of data. Quantum dimensionality reduction is widely used in data mining, image processing, natural language processing and other fields.

Fourth, the future development trend of quantum machine learning

With the continuous progress of quantum computing technology, the application prospect of quantum machine learning will be more and more extensive. In the future, the development trend of quantum machine learning mainly includes the following aspects:

Further improvement of hardware technology

At present, the performance of quantum computer needs to be improved, and the development of hardware technology will help to improve the efficiency and accuracy of quantum machine learning.

Innovation of algorithm design

With the deepening and development of quantum machine learning theory, algorithm design will become more and more important. In the future, quantum machine learning algorithms will be more complex and efficient.

Expansion of application scenarios

With the continuous expansion of the application scenarios of quantum machine learning, the future will involve more fields, including physics, chemistry, biology, finance, transportation and so on.

To sum up, quantum machine learning, as an important field where quantum computing and artificial intelligence intersect, has a very broad application prospect. In the future, quantum machine learning will continue to develop and innovate in hardware technology, algorithm design and application scenarios, thus bringing more benefits and development opportunities to human society.

At 5:00 pm on June 26, the Shanghai Municipal Government News Office organized a press conference of the 218th press conference of Shanghai New Crown Pneumonia’s epidemic prevention and control work. Zhao Dandan, deputy director of the Municipal Health and Health Commission, Lai Xiaoyi, a second -level inspector of the Municipal Commerce Commission, Long Wanli, deputy head of Jing’an District, Zhang Yefang, deputy head of Fengxian District, and Sun Xiaodong, deputy director of the Municipal Centers for Disease Control and Prevention, attended the relevant situation and answered questions from reporters. Essence Municipal Government spokesman Yin Xin presided over a press conference.

Some reporters asked, how many medium -risk areas are there at present in Shanghai? After a lapse of a few days, there is a sporadic infection in Shanghai. Can you do some analysis for the current epidemic situation?

Zhao Dandan said that as of now, there are 13 areas of risks in the city in the city, involving Xuhui, Baoshan, Songjiang, Yangpu, Hongkou, Putuo, Jing’an, Minhang, Fengxian, etc. Risk -regional. In this way, since 0:00 on June 27, there are 12 central risk areas left in Shanghai.

After 5 consecutive days in Shanghai, there were no social positive infections, and there was a sporadic positive infection today. It should be soberly realized that the transmission of Omikon’s mutation is fast and hidden. As the current flow of personnel gradually increases, the risk of rebound in the Shanghai epidemic still exists. Therefore, we must adhere to the total policy of "dynamic clearing zero", strictly implement the "four -party responsibility", and focus on implementing three aspects of emergency response measures:

First, in terms of command systems, the city and district -level command systems have always maintained a stress state. After discovering positive infections, they must respond as soon as possible, and respond to emergency response in a timely manner to block the spread of epidemic as soon as possible.

Second, in terms of discovery mechanisms, constantly improved the convenient and sensitive discovery mechanism, established and improved the comprehensive monitoring system of "nucleic acid+antigen", "place code+digital sentry", "hot kidnapper+pharmacy" Early discovery, early report, early disposal.

Third, in terms of the synergy mechanism, maintaining the collaboration between the public security, public health, industrial information, and big data centers and districts. Once those who are positive are found, they will immediately implement the "2+4+24" requirements, that is, the flow team is 2 hours. Arrive at the scene, complete the core information of the flow tone within 4 hours, and initially check the basic situation and complete the flow report within 24 hours.

Here, the friends of the general public are invited to continue to adhere to the "three -piece set" and "five more", and to do the following:

The first is to keep in mind the "two musts", that is, the code must be scanned, and nucleic acid detection must be performed as required.

The second is that in the face of the influence of the epidemic prevention personnel, we should fulfill the responsibility of epidemic prevention and truthfully inform the event trajectory and other information. We will protect your privacy.

Third, once suspicious symptoms such as fever occur, be sure to do personal protection and go to the nearest clinics in time.

Quantum machine learning： the intersection of quantum computing and artificial intelligence

Those who have a positive infection in Shanghai today have three emergency measures to implement three aspects