20 citations · 62 across the 31 of their papers we have counts for
9 papers · 1 filter
Variational quantum simulation of many-body dissipative dynamics on a superconducting quantum processor
Huan-Yu Liu, Tai-Ping Sun, Zhao-Yun Chen +7
Open quantum systems host a wide range of intriguing phenomena, yet their simulation on well-controlled quantum devices is challenging, owing to the exponential growth of the Hilbe…
Low-Overhead and High-Fidelity Preparation of Logical Non-Clifford States with Multi-Level Transversal Injection
Jiaxuan Zhang, Tian-Hao Wei, Xi-Ning Zhuang +4
Rotation gates are widely used in various quantum algorithms. To implement fault-tolerant rotation gates, state distillation or gate synthesis is typically employed. However, the o…
A Pathway to Practical Quantum Advantage in Solving Navier-Stokes Equations
Xi-Ning Zhuang, Zhao-Yun Chen, Ming-Yang Tan +12
The advent of fault-tolerant quantum computing (FTQC) promises to tackle classically intractable problems. A key milestone is solving the Navier-Stokes equations (NSE), which has r…
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…
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…
PolyQROM: Orthogonal-Polynomial-Based Quantum Reduced-Order Model for Flow Field Analysis
Yu Fang, Cheng Xue, Tai-Ping Sun +10
Quantum computing promises exponential acceleration for fluid flow simulations, yet the measurement overhead required to extract flow features from quantum-encoded flow field data…
SparQSim: Simulating Scalable Quantum Algorithms via Sparse Quantum State Representations
Tai-Ping Sun, Zhao-Yun Chen, Yun-Jie Wang +6
Efficient simulation of large-scale quantum algorithms is pivotal yet challenging due to the exponential growth of the state space inherent in both Schödinger-based and Feynman-bas…
Refined Criteria for QRAM Error Suppression via Efficient Large-Scale QRAM Simulator
Yun-Jie Wang, Tai-Ping Sun, Xi-Ning Zhuang +6
Quantum random access memory (QRAM) is a critical primitive for quantum algorithms that require data lookup in superposition, but its lack of fault tolerance poses a major obstacle…