Alibaba releases open source quantum Simulator “Taizhang 2.0” to support quantum algorithm and error correction exploration

On December 23, Alibaba released Alibaba cloud’s quantum development platform, open source self-developed quantum computing Simulator “Taizhang 2.0” and a series of quantum application cases. This will strongly support practitioners to design quantum hardware, test quantum algorithms, and explore their applications in the fields of materials, molecular discovery, optimization problems and machine learning. < / P > < p > the progress of quantum chips in the past few years has further reduced the uncertainty of the practical way of quantum computing. With the increase of system scale, the test and verification of quantum system and quantum algorithm become more and more challenging. The method based on classical simulation is a basic tool, but it has its inherent bottleneck. For example, current storage technologies can store up to less than 60 qubits of quantum states. Alicloud quantum development platform proposes an original distributed tensor network shrinkage algorithm, which opens up a new direction for quantum circuit simulation, and can achieve larger scale simulation than other methods. < / P > < p > according to the introduction, the quantum Laboratory of Dharma Institute has been leading the world in the classical simulation direction of quantum computing for a long time. Previously, its self-developed “Taizhang 1.0” proposed an original dynamic splitting method of tensor network shrinkage, which greatly reduced the cost of quantum circuit simulation and was widely used by the academic and industry. The open source kernel quantum engine “Taizhang 2.0” once again greatly reduces resource consumption through further algorithm innovation. < p > < p > in May this year, the laboratory used “Taizhang 2.0” to simulate the quantum circuit claimed by “Google quantum hegemony” in 2019, and compressed the task of classical calculation that took more than 10000 years to complete in 20 days, which is four orders of magnitude better than other best schemes. Industry estimates that if further optimization of hardware resources, especially to improve the efficiency of GPU, the algorithm is expected to reduce the simulation time to less than 2 days. This series of work caused the academic circles to reconsider the boundary between quantum computation and classical computation. At the same time, acqdp also includes quantum algorithms and applications such as quantum approximate optimization algorithm simulation supporting tens of thousands of qubits and error correction code performance simulation based on experimental noise model developed by quantum Laboratory of Dharma Institute. This can solve the problem of experiment and evaluation which can’t be solved only by theoretical analysis. Based on this open platform, researchers of quantum computing can customize algorithms for different scenarios to further improve the simulation efficiency; and the developed schemes and algorithms are expected to promote the realization of quantum computer and give birth to the practical advantages of quantum computing. < / P > < p > “the implementation of quantum computing is very challenging. Academia and industry need to gather strength to overcome bottlenecks and accelerate innovation. ” Shi Yaoyun, director of the quantum Laboratory of Dharma Institute, explained that “open research is conducive to accelerating the advent of the quantum era, and it is also the best strategy for us to provide quantum computing services to customers and society as soon as possible.” He said that in the future, the quantum Laboratory of Dharma academy will have more achievements open source and free output to open research partners. The team focuses on the quantum bit fluxonium, which is different from the mainstream, and will share the latest results with the public in the near future. Continue ReadingDeveloped a “plug and play” solar power generation scheme, and “5B” won a $12 million round a financing