Establishing a New Benchmark in Quantum Computational Advantage with 105-qubit Zuchongzhi 3.0 ProcessorDongxin Gao, Daojin Fan, Chen Zha et al.|Physical Review Letters|2025 In the relentless pursuit of quantum computational advantage, we present a significant advancement with the development of Zuchongzhi 3.0. This superconducting quantum computer prototype, comprising 105 qubits, achieves high operational fidelities, with single-qubit gates, two-qubit gates, and readout fidelity at 99.90%, 99.62%, and 99.13%, respectively. Our experiments with an 83-qubit, 32-cycle random circuit sampling on the Zuchongzhi 3.0 highlight its superior performance, achieving 1×10^{6} samples in just a few hundred seconds. This task is estimated to be infeasible on the most powerful classical supercomputers, Frontier, which would require approximately 5.9×10^{9} yr to replicate the task. This leap in processing power places the classical simulation cost 6 orders of magnitude beyond Google's SYC-67 and SYC-70 experiments [Morvan et al., Nature 634, 328 (2024)10.1038/s41586-024-07998-6], firmly establishing a new benchmark in quantum computational advantage. Our work not only advances the frontiers of quantum computing but also lays the groundwork for a new era where quantum processors play an essential role in tackling sophisticated real-world challenges.
Lightweight design optimization for legs of bipedal humanoid robotHongyu Ding, Zhaoyao Shi, Yisen Hu et al.|Structural and Multidisciplinary Optimization|2021 Experimental Quantum Error Correction below the Surface Code Threshold via All-Microwave Leakage SuppressionTan He, W. W. Lin, R. N. Wang et al.|Physical Review Letters|2025 Quantum error correction (QEC) enables practical quantum computing by encoding logical qubits in many physical qubits, which can exponentially suppress the logical error rate with increasing code size provided that the physical error rate is below a critical threshold. However, the leakage of quantum information from the computational subspace presents a critical challenge to the development of scalable QEC, which creates long-lived, correlated errors that spread across space and time. Here, we demonstrate a quantum memory operating below the threshold by implementing an all-microwave leakage suppression architecture on a distance-7 surface code. We achieve a logical error suppression factor of Λ=1.40(6), definitively reversing the above-threshold scaling (Λ<1) caused by unmitigated leakage. This scheme integrates a hardware-efficient leakage reduction unit for data qubits with a fast, unconditional reset for ancilla qubits, suppressing the average leakage population after 40 cycles by a factor of 72 to 6.4(5)×10^{-4}. Our results demonstrate the viability of all-microwave control architectures for suppressing critical errors at scale, paving the way for more advanced quantum error correction implementations.
Study of Series-parallel Mechanism Used in Legs of Biped RobotWalking is an essential ability for biped robots, and the stability of walking is affected by both mechanical structure and control algorithm. In this work, a new design of legs with low moment of inertia was proposed. Due to the application of parallel mechanism, the inverse kinematics solution was analytically derived, while the forward kinematics solution was numerically obtained, using the neural network method. Walking at 2.0 km/h was achieved in dynamics simulation, and the results of original design and new design in the same gait planning method were compared. It's indicated that the torque requirement of new design was lower than that of original one. The torque requirements for hip yaw, hip pitch, knee pitch and ankle joints decrease with the decreasing moment of inertia of legs, and those for hip roll, knee pitch and ankle joints decrease with the decreasing mass of whole robot. Moreover, the parallel mechanism makes the actuators support the motion of joints together, leading to the decreasing torque requirements.
On-chip direct-current source for scalable superconducting quantum computingLei Jiang, Yu Xu, Shaowei Li et al.|Physical Review Applied|2025