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WIPO, published Number of Patents globally of Individual Tech companies 2023
as usual Huawei has ranked first in the global patent with 6494 applications. the most interesting thing is CATL entered in top 10 list for the first time.. total 4 Chinese companies in top10..
as usual Huawei has ranked first in the global patent with 6494 applications. the most interesting thing is CATL entered in top 10 list for the first time.. total 4 Chinese companies in top10..
supercat
Major
Thrombolytic drugs are dangerous. The danger will be greatly reduced if they can be delivered precisely.
The world's largest all terrain crane. Its capacity is 4000 tons.
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Are we sure that's not a TEL in disguise?
Are they thinking of a 4,000 ton ICBM?
Sun Luyan’s research group at the Institute of Cross-Information realizes quantum error correction protection of quantum entanglement between logical qubits
Professor Sun Luyan’s research group from the Institute of Cross-Information at Tsinghua University collaborated with Professor Zou Changling’s research group from the University of Science and Technology of China and researcher Yu Haifeng from the Beijing Institute of Quantum Information Science to develop a superconducting quantum system. Quantum error correction protection of quantum entanglement between logical qubits is achieved.
Quantum error correction is one of the core issues in the field of quantum computing. It is known that environmental noise can significantly affect the state of qubits, making quantum calculations prone to errors due to external interference. Quantum error correction can protect quantum information from errors, bringing hope to the practical process of quantum computing. Quantum error correction protects information by introducing redundant degrees of freedom and using specific encoding methods to construct logical bits. Once an error is detected, this additional redundant information can be used to identify and correct the error without destroying the original quantum information.
The current main quantum error correction technology route is based on a two-level bit encoding scheme, which uses a large number of physical bits to encode one logical bit. This poses a relatively large experimental challenge, as the number of error channels increases with the increase in the number of physical bits, and complex multi-body interactions are required to achieve error detection and correction. In order to overcome these difficulties, Sun Luyan's research group adopted a physical architecture based on a single microwave resonator, namely Bose encoding. This scheme uses the infinite Hilbert space of the resonator to encode redundant information, but the types of error channels remain unchanged, thus greatly reducing the hardware requirements for quantum error correction and taking the lead in realizing quantum error correction.
In recent years, Sun Luyan's research group has been committed to quantum error correction research based on Bose coding. The research team collaborated with Zou Changling's research group to experimentally realize quantum error correction of Bose binomial encoding for the first time, demonstrating continuous quantum error correction of logical qubits and extending the coherence time to 2.8 times that without quantum error correction. . Later, in order to improve the fidelity of error correction operations, they collaborated to develop error-transparent phase gates. On this basis, they also cooperated with the Yu Dapeng/Xu Yuan team of Southern University of Science and Technology, the Zheng Shibiao research group of Fuzhou University, and the Yu Haifeng team of the Beijing Institute of Quantum Information Science to achieve quantum computing by improving the coherence time of qubits and optimizing the error detection scheme. Error correction breaks through the break-even point. The key question for the next step in Bose coding is how to extend quantum error correction to multiple logical qubits and achieve entanglement protection.
I knew people who are working on this. Very smart people... I am 50 IQ points short of being able to understand the topic.
The national key R&D project "Unified Parallel Programming Model and Parallel Compilation for a New Generation of Domestic Supercomputing Systems" led by Tsinghua University was launched.
The national key R&D project "Unified Parallel Programming Model and Parallel Compilation for a New Generation of Domestic Supercomputing Systems" led by Tsinghua University was launched.
Tsinghua News Network, March 14th . On March 8th, the launch meeting of the National Key Research and Development Plan "Unified Parallel Programming Model and Parallel Compilation for a New Generation of Domestic Supercomputing Systems" was held in Beijing. The project is led by Tsinghua University and is responsible for the project. The person is Zhai Jidong, professor of the Department of Computer Science at Tsinghua University. Participating units include the Institute of Computing Technology of the Chinese Academy of Sciences, Jiangnan Institute of Computing Technology, National University of Defense Technology, Sugon Corporation, Shanghai Jiao Tong University, Beihang University, Xi'an Jiaotong University, and High Energy Physics Research of the Chinese Academy of Sciences. Institute, Hangzhou University of Electronic Science and Technology of China and other units.
At the meeting, Ding Ying, deputy director of the Information Office of the High-Tech Research and Development Center of the Ministry of Science and Technology, introduced the project management regulations and relevant regulations. Jia Jia, Secretary of the Party Committee of the Department of Computer Science of Tsinghua University, delivered a speech on behalf of the project lead unit. Academician Zheng Weimin of the Department of Computer Science of Tsinghua University and Beijing Aerospace Academician Qian Depei of the University School of Computer Science and Professor Guan Haibing, leader of the overall expert group, put forward expectations and requirements for the project.
Zhai Jidong reported on the basic situation of the project, implementation ideas, planning arrangements and implementation progress. The expert group fully affirmed the overall implementation plan and research content of the project, and put forward constructive opinions and suggestions on the promotion and application of the project results, the balance between the ease of use and performance of the unified programming model developed by the project, and other relevant aspects. We conducted in-depth exchanges and discussions on the issues and formed a broad consensus.
This project is one of the projects launched in 2023 under the National Key R&D Plan and is part of the "High Performance Computing" key project. The project aims to develop a set of unified parallel programming models, compilation systems and runtime scheduling frameworks that are suitable for different domestic supercomputing systems to support parallel programming. The application code and performance are portable on different domestic supercomputing systems. The project carries out work from four aspects: unified parallel programming model and abstraction, unified intermediate representation and multi-level optimization, architecture-aware parallel compilation optimization, and runtime design and optimization of heterogeneous ultra-large-scale systems. Based on the research results of this project, it can effectively promote the development of the programming ecosystem of domestic supercomputing systems, provide strong support for the development of scientific computing and other applications, and help enhance the country's strength in supercomputing.
At the meeting, Ding Ying, deputy director of the Information Office of the High-Tech Research and Development Center of the Ministry of Science and Technology, introduced the project management regulations and relevant regulations. Jia Jia, Secretary of the Party Committee of the Department of Computer Science of Tsinghua University, delivered a speech on behalf of the project lead unit. Academician Zheng Weimin of the Department of Computer Science of Tsinghua University and Beijing Aerospace Academician Qian Depei of the University School of Computer Science and Professor Guan Haibing, leader of the overall expert group, put forward expectations and requirements for the project.
Zhai Jidong reported on the basic situation of the project, implementation ideas, planning arrangements and implementation progress. The expert group fully affirmed the overall implementation plan and research content of the project, and put forward constructive opinions and suggestions on the promotion and application of the project results, the balance between the ease of use and performance of the unified programming model developed by the project, and other relevant aspects. We conducted in-depth exchanges and discussions on the issues and formed a broad consensus.
This project is one of the projects launched in 2023 under the National Key R&D Plan and is part of the "High Performance Computing" key project. The project aims to develop a set of unified parallel programming models, compilation systems and runtime scheduling frameworks that are suitable for different domestic supercomputing systems to support parallel programming. The application code and performance are portable on different domestic supercomputing systems. The project carries out work from four aspects: unified parallel programming model and abstraction, unified intermediate representation and multi-level optimization, architecture-aware parallel compilation optimization, and runtime design and optimization of heterogeneous ultra-large-scale systems. Based on the research results of this project, it can effectively promote the development of the programming ecosystem of domestic supercomputing systems, provide strong support for the development of scientific computing and other applications, and help enhance the country's strength in supercomputing.