In this paper, we present a groundbreaking largescale system technology that leverages optimization on global, node, and device levels to achieve unprecedented scalability for tensor networks. Our techniques enable accommodating largescale tensor networks with up to tens of terabytes of memory, reaching up to 2304 GPUs with a peak computing power of 561 PFLOPS. Notably, we have achieved a time-to-solution of 14.22 seconds with an energy consumption of 2.39 kWh which achieved a fidelity of 0.002. Our most remarkable result is a time-to-solution of 17.18 seconds, with energy consumption of only 0.29 kWh which achieved a XEB of 0.002 after post-processing. The experiments conducted demonstrate that our research outperforms Google’s quantum processor Sycamore in both speed and energy efficiency, which recorded 600 seconds and 4.3 kWh, respectively. The code is available at https://github.com/DeepLinkorg/OpenTenNet.

Boson sampling is expected to be an important milestone that will demonstrate quantum computational advantage (or quantum supremacy). This work establishes the benchmarking of Gaussian boson sampling (GBS) with threshold detection based on the Sunway TaihuLight supercomputer. To achieve the best performance and provide a competitive scenario for future quantum computing studies, the selected simulation algorithm is fully optimized based on a set of innovative approaches, including a parallel framework with almost perfect load balance and an instruction-level optimizing scheme based on a shortest-path-based instruction scheduling. In addition, data precision is carefully processed by an integer-instruction-based and multiple-precision fixed-point implementation, including 128- and 256-bit precison mode, which can be appropriately selected based on an adaptive precision optimizing scheme. Based on these methods, a highly efficient parallel quantum sampling algorithm is designed. The largest run enables us to obtain one Torontonian function of a$100\times 100$submatrix from 50-photon GBS within 20 hours in 128-bit precision and 2 days in 256-bit precision. To our knowledge, this was the largest quantum computing simulation based on Boson Sampling by using modern supercomputers.

Quantum entanglement lies at the heart of new proposals for quantum communication and computation, like quantum cryptography and quantum teleportation. Here we describe the experimental realizations of quantum communication schemes, which improve existing classical methods or add new features to the world of communication.