20 citations · 20 across the 10 of their papers we have counts for
10 papers
Overcoming the Speed-Fidelity Trade-off in Fast CZ Gates via Cyclic Control
Ze-An Zhao, Hai-Feng Zhang, Tian-Le Wang +10
High-fidelity quantum gates are essential for scalable quantum computation. However, at short durations, short-timescale waveform distortions break the time-reflection symmetry of…
Single-step phase-engineered pulse for active readout cavity reset with a known qubit state
Ren-Ze Zhao, Ze-An Zhao, Tian-Le Wang +9
In a circuit QED architecture, we experimentally demonstrate a hardware-efficient and qubit-state-dependent Single-Step Phase-Engineered (SSPE) pulse scheme for actively depopulati…
Inverse designed Hamiltonians for perfect state transfer and remote entanglement generation, and applications in superconducting qubits
Tian-Le Wang, Ze-An Zhao, Peng Wang +9
Hamiltonian inverse engineering enables the design of protocols for specific quantum evolutions or target state preparation. Perfect state transfer (PST) and remote entanglement ge…
Spectator Leakage Suppression via Invariant Subspace Engineering for CZ Gates in Superconducting Quantum Circuits
Peng Wang, Bin-Han Lu, Tian-Le Wang +11
Spectator leakage poses a fundamental challenge to scalable quantum computing, particularly as frequency collisions become unavoidable in multi-qubit processors. We introduce a lea…
Remote entanglement generation via enhanced quantum state transfer
Tian-Le Wang, Peng Wang, Ze-An Zhao +16
Achieving robust and scalable remote quantum entanglement is a fundamental challenge for the development of distributed quantum networks and modular quantum computing systems. Alon…
Demonstrating Coherent Quantum Routers for Bucket-Brigade Quantum Random Access Memory on a Superconducting Processor
Sheng Zhang, Yun-Jie Wang, Peng Wang +19
Quantum routers (QRouters) are essential components of bucket-brigade quantum random access memory (QRAM), enabling quantum applications such as Grover's search and quantum machine…
Experimental robustness benchmarking of quantum neural networks on a superconducting quantum processor
Hai-Feng Zhang, Zhao-Yun Chen, Peng Wang +17
Quantum machine learning (QML) models, like their classical counterparts, are vulnerable to adversarial attacks, hindering their secure deployment. Here, we report the first system…
HiMA: Hierarchical Quantum Microarchitecture for Qubit-Scaling and Quantum Process-Level Parallelism
Qi Zhou, Zi-Hao Mei, Han-Qing Shi +10
Quantum computing holds immense potential for addressing a myriad of intricate challenges, which is significantly amplified when scaled to thousands of qubits. However, a major cha…
Realizing Scalable Conditional Operations through Auxiliary Energy Levels
Sheng Zhang, Peng Duan, Yun-Jie Wang +19
In the noisy intermediate-scale quantum (NISQ) era, flexible quantum operations are essential for advancing large-scale quantum computing, as they enable shorter circuits that miti…
Enabling Large-Scale and High-Precision Fluid Simulations on Near-Term Quantum Computers
Zhao-Yun Chen, Teng-Yang Ma, Chuang-Chao Ye +29
Quantum computational fluid dynamics (QCFD) offers a promising alternative to classical computational fluid dynamics (CFD) by leveraging quantum algorithms for higher efficiency. T…