171 citations · 470 across the 13 of their papers we have counts for
13 papers
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…
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…
On Circuit Depth Scaling For Quantum Approximate Optimization
V. Akshay, H. Philathong, E. Campos +4
Variational quantum algorithms are the centerpiece of modern quantum programming. These algorithms involve training parameterized quantum circuits using a classical co-processor, a…
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-…
Experimental Quantum Target Detection Approaching the Fundamental Helstrom Limit
Feixiang Xu, Xiao-Ming Zhang, Liang Xu +3
Quantum target detection is an emerging application that utilizes entanglement to enhance the sensing of the presence of an object. Although several experimental demonstrations for…
Low-depth Quantum State Preparation
Xiao-Ming Zhang, Man-Hong Yung, Xiao Yuan
A crucial subroutine in quantum computing is to load the classical data of complex numbers into the amplitude of a superposed -qubit state. It has been…
Generic detection-based error-mitigation using quantum autoencoders
Xiao-Ming Zhang, Weicheng Kong, Muhammad Usman Farooq +3
Efficient error-mitigation techniques demanding minimal resources is key to quantum information processing. We propose a generic protocol to mitigate quantum errors using detection…
Quantum Slide and NAND Tree on a Photonic Chip
Yao Wang, Zi-Wei Cui, Yong-Heng Lu +5
In the age of post-Moore era, the next-generation computing model would be a hybrid architecture consisting of different physical components such as photonic chips. In 2008, it has…
Low-Depth Optical Neural Networks
Xiao-Ming Zhang, Man-Hong Yung
Optical neural network (ONN) is emerging as an attractive proposal for machine-learning applications, enabling high-speed computation with low-energy consumption. However, there ar…
When does reinforcement learning stand out in quantum control? A comparative study on state preparation
Xiao-Ming Zhang, Zezhu Wei, Raza Asad +2
Reinforcement learning has been widely used in many problems, including quantum control of qubits. However, such problems can, at the same time, be solved by traditional, non-machi…
Minimal Non-orthogonal Gate Decomposition for Qubits with Limited Control
Xiao-Ming Zhang, Jianan Li, Xin Wang +1
In quantum control theory, a question of fundamental and practical interest is how an arbitrary unitary transformation can be decomposed into minimum number of elementary rotations…
Automatic spin-chain learning to explore the quantum speed limit
Xiao-Ming Zhang, Zi-Wei Cui, Xin Wang +1
One of the ambitious goals of artificial intelligence is to build a machine that outperforms human intelligence, even if limited knowledge and data are provided. Reinforcement Lear…
One-Shot Detection Limits of Quantum Illumination with Discrete Signals
Man-Hong Yung, Fei Meng, Ming-Jing Zhao
A minimally-invasive way to detect the presence of a stealth target is to probe it with a single photon and analyze the reflected signals. The efficiency of such a conventional det…