171 citations · 299 across the 13 of their papers we have counts for
14 papers
Harnessing problem structure for end-to-end quantum speed-ups
Qifan Jiang, Xiao-Ming Zhang, Debin Xiang +3
Quantum algorithms can offer substantial computational speed-ups, yet these advantages may disappear once the cost of structure-agnostic classical data encoding is taken into accou…
From Bits to Qubits: The Theory and Practice of Quantum Data Encoding
Xiao-Ming Zhang, Arthur G. Rattew, Bujiao Wu +4
Encoding classical data into quantum systems is a foundational step in the execution of nearly all quantum algorithms, and a critical bottleneck in realizing practical quantum adva…
Generalized Mermin Inequalities for Benchmarking Large-Scale GHZ States
Jianbin Cai, Junxiang Huang, Fynn Otto +15
Multipartite Bell tests provide a correlation-only route to benchmarking quantum processors, but their application at large scales is hindered by the rapid decay of many-body corre…
Transition Role of Entangled Data in Quantum Machine Learning
Xinbiao Wang, Yuxuan Du, Zhuozhuo Tu +3
Entanglement serves as the resource to empower quantum computing. Recent progress has highlighted its positive impact on learning quantum dynamics, wherein the integration of entan…
Scaling of entangling-gate errors in large ion crystals
Wenhao He, Wenhao Zhang, Xiao Yuan +2
Trapped-ion has shown great advantages in building quantum computers. While high fidelity entangling-gate has been realized for few ions, how to maintain the high fidelity for larg…
Leakage Benchmarking for Universal Gate Sets
Bujiao Wu, Xiaoyang Wang, Xiao Yuan +2
Errors are common issues in quantum computing platforms, among which leakage is one of the most challenging to address. This is because leakage, i.e., the loss of information store…
Learning the Complexity of Weakly Noisy Quantum States
Yusen Wu, Bujiao Wu, Yanqi Song +2
Quantifying the complexity of quantum states is a longstanding key problem in various subfields of science, ranging from quantum computing to the black-hole theory. The lower bound…
Unbiased random circuit compiler for time-dependent Hamiltonian simulation
Xiao-Ming Zhang, Zixuan Huo, Kecheng Liu +2
Time-dependent Hamiltonian simulation (TDHS) is a critical task in quantum computing. Existing algorithms are generally biased with a small algorithmic error , and the…
Efficient measurement schemes for bosonic systems
Tianren Gu, Xiao Yuan, Bujiao Wu
Boson is one of the most basic types of particles and preserves the commutation relation. An efficient way to measure a bosonic system is important not only for simulating complex…
Power of Quantum Generative Learning
Yuxuan Du, Zhuozhuo Tu, Bujiao Wu +2
The intrinsic probabilistic nature of quantum mechanics invokes endeavors of designing quantum generative learning models (QGLMs). Despite the empirical achievements, the foundatio…
Quantum State Preparation with Optimal Circuit Depth: Implementations and Applications
Xiao-Ming Zhang, Tongyang Li, Xiao Yuan
Quantum state preparation is an important subroutine for quantum computing. We show that any -qubit quantum state can be prepared with a -depth circuit using only single-…
Quantum Phase Recognition via Quantum Kernel Methods
Yusen Wu, Bujiao Wu, Jingbo Wang +1
The application of quantum computation to accelerate machine learning algorithms is one of the most promising areas of research in quantum algorithms. In this paper, we explore the…
Universal and Operational Benchmarking of Quantum Memories
Xiao Yuan, Yunchao Liu, Qi Zhao +3
Quantum memory -- the capacity to store and faithfully recover unknown quantum states -- is essential for quantum-enhanced technology. There is thus a pressing need for operational…
Quantifying Coherence with Untrusted Devices
Xingjian Zhang, Yunchao Liu, Xiao Yuan
Device-independent (DI) tests allow to witness and quantify the quantum feature of a system, such as entanglement, without trusting the implementation devices. Although DI test is…