Jiuzhang Quantum focuses on the development of photonic quantum computers. At the current stage, the Jiuzhang quantum computing prototype, which has demonstrated quantum computational advantage, can effectively solve the "Gaussian Boson Sampling" mathematical problem. This problem can be mapped to real-world applications such as quantum chemistry and machine learning. Furthermore, developing quantum-inspired classical algorithms is a key trend in the current quantum computing industry, accelerating practical applications including portfolio optimization and route optimization.

Following the achievement of quantum computational advantage, Jiuzhang Quantum will develop special-purpose quantum simulators and commercialize them for applications in quantum machine learning, neural networks, molecular docking, molecular vibration spectra, and single-electron transitions. All components in quantum neural networks can be realized through integrated photonics, opening up new market opportunities in fields such as autonomous driving and image recognition. Applications like molecular docking, molecular vibration spectra, and single-electron transitions will enable faster solutions to drug design challenges, offering vast application potential.

Our ultimate goal is to achieve programmable, fault-tolerant universal quantum computers. Jiuzhang Quantum is dedicated to the R&D of room-temperature universal photonic quantum computers, as well as the construction and commercialization of large-scale, mature quantum networks. These systems will play a pivotal role in classical cryptography cracking, big data search, artificial intelligence, and other fields.