"Quantum + Energy" Scenario Application: Turing Quantum Collaborates with Xi'an University of Science and Technology to Facilitate the Upgrade of Mine Safety

The mine ventilation system is directly related to the safety of miners and the production of coal mines. However, the traditional calculation methods have problems such as large computational workload, slow simulation, and inaccurate analysis. Recently, Turing Quantum has reached a strategic cooperation with Xi'an University of Science and Technology to jointly establish the "Quantum Computing Joint Laboratory for Coal Mine Ventilation, Fire Prevention, and Explosion Prevention Technology", promoting the integration of quantum computing and the energy industry into a substantive collaborative stage. "Turing Quantum" uses its self-developed DeepQuantum quantum computing programming framework to achieve significant breakthroughs in the calculation of mine ventilation networks, successfully applying quantum computing technology to the precise simulation and optimization of complex ventilation network systems. This innovation not only significantly improves the accuracy and efficiency of mine ventilation design, but also provides a new technical path for the digital transformation of the energy industry.

The mine ventilation system is the "lifeline" for the safety production of coal mines. The rationality of its design and the reliability of its operation are of vital importance. The traditional calculation method for ventilation networks is limited by computing capabilities. When dealing with large and complex network topologies, there are problems such as slow calculation, inaccurate results, slow simulation, and high costs, making it difficult to meet the requirements of modern mines for rapid simulation and real-time decision-making under disaster conditions.

In response to this industry challenge, "Turing Quantum" collaborated with Xi'an University of Science and Technology to apply a hybrid quantum algorithm combining the Quantum Newton Method (QCGA) and the Variational Quantum Linear Solver (VQLS) to calculate the ventilation network of the mine ventilation system. This algorithm abstracts the ventilation network into a "node - branch" graph structure, converts the physical constraints of air flow movement into mathematical equations by using graph theory matrices, and utilizes the parallel processing and optimization capabilities of quantum computing to achieve rapid and accurate simulation of various working conditions of the ventilation system - normal production and abnormal situations such as gas explosion, fire, and fan failure.

In computational applications, the DeepQuantum quantum computing programming framework demonstrates significant technical advantages. It not only validates the practical value of quantum computing in solving complex networks, but also provides a reusable technical paradigm for empowering industries such as energy, manufacturing, and transportation with quantum technology.

Computing power has soared, and quantum acceleration has brought about a tenfold increase in efficiency.

In the calculation of the mine ventilation network, the DeepQuantum version algorithm of "Turing Quantum" performed exceptionally well. The following table shows the performance of the DeepQuantum code version and the PennyLane code version of the quantum Newton method and quantum algorithm:

It is worth noting that PennyLane, as the world's leading optical quantum computing programming framework, represents the highest global standards in this field. The DeepQuantum framework independently developed by "Turing Quantum" has demonstrated significant performance advantages when directly compared with such advanced systems. Experimental results show that compared with the quantum computing version of PennyLane, the quantum Newton method (QCGA) of the DeepQuantum version has accelerated the calculation speed by approximately 11.9 times, while the variational quantum linear solver (VQLS) has accelerated by approximately 12.8 times.

This significant computational acceleration advantage enables the provision of solutions to complex mine ventilation network calculation problems more quickly, significantly enhancing work efficiency. As the complexity of the network and the demand for real-time calculation increase, the efficiency of traditional methods declines, while the performance of quantum computing is more stable and can better adapt to various scenarios of "combined peacetime and wartime" ventilation systems.

Join hands with Xi'an University of Science and Technology to break through key technologies in the energy field

Xi'an University of Science and Technology has a national key discipline in safety technology and engineering, and 8 provincial-level advantageous and characteristic disciplines, covering 49 secondary disciplines, forming a complete system. The school began using computers to solve coal mine ventilation network problems in the 1980s after Professor Chang Xintan returned from abroad. Through the efforts of the team led by Li Zhengping, Zhang Jianlang, Li Xuewen, Zhou Lihong, etc., over several decades, significant progress has been made in the field of intelligence in recent years, driven by Yan Zhenguo and Wu Fengliang. Currently, the school is systematically conducting quantum computing application research on intelligent ventilation and disaster prevention and control, focusing on the construction of quantum theory, the development of quantum state neural network algorithms, the design of mine quantum equipment architecture, and the quantum simulation analysis of related disaster scenarios, providing key technical support for mine safety and intelligent ventilation.

This time, "Turing Quantum" and Xi'an University of Science and Technology have carried out in-depth cooperation in the calculation of mine ventilation networks. They will jointly explore the application prospects of quantum computing technology in the energy mine sector. Through the joint efforts of both parties, not only have significant breakthroughs been achieved in technology, but also a solid foundation has been laid for more cooperation in future in areas such as energy mines.

Subsequently, "Turing Quantum" will strengthen its close cooperation with universities and research institutions such as Xi'an University of Science and Technology, jointly promoting more research and application projects of quantum computing in the field of energy mines. Both parties will leverage their complementary advantages and resource integration to drive the in-depth development of quantum computing in the energy sector, providing technical support for the digital transformation of traditional energy industries and contributing to sustainable development.

The actual machine verification plan for the GEN2 photonic quantum computing system

In the future, "Turing Quantum" will fully transfer the hybrid quantum algorithm for solving the mine ventilation network to the self-developed large-scale programmable optical quantum computing system TuringQ GEN2 for conducting real-machine experimental verification. TuringQ GEN2 is a hybrid optical quantum computing system with no less than 50 photons. It is based on the programmable optical quantum computing architecture and deeply integrates quantum light source module, optical quantum computing network module, single photon detection module and coincidence counting module, forming an integrated quantum computing platform for engineering applications.

This system supports standardized IDC data center deployment and can operate stably at room temperature. Through the self-developed XLINK interconnection technology, it enables high-speed arbitrary topology interconnection among CPU, GPU, QPU and OPU, facilitating the embedding of quantum real machines into the existing digital and intelligent computing power system. A single GEN2 system can be equivalent to dozens of quantum bits, and can achieve efficient collaborative computing across racks and over long distances through optical fibers, enabling the dispersion of quantum computing units to form a unified "quantum computing power pool".

Based on this, a real machine test will be conducted to simulate the complex working conditions of mine ventilation and carry out real-time optimization scheduling. The robustness and scalability of the algorithm in noisy environments will be evaluated, laying the foundation for the subsequent engineering implementation of larger-scale energy networks and industrial systems.

Quantum computing empowers traditional industries to embrace a smarter future.

The innovative applications and core advantages of "Turing Quantum" in the field of energy mines demonstrate the tremendous potential and value of quantum computing technology in traditional industries. Through advanced quantum algorithms and optimization strategies, "Turing Quantum" successfully solved the complex problems in the calculation of mine ventilation networks, providing a strong guarantee for the safe production of mines. At the same time, the deep cooperation with universities such as Xi'an University of Science and Technology has also provided a broad space for more future cooperation in areas such as energy mines.