71 citations · 455 across the 36 of their papers we have counts for
23 papers · 1 filter
Quantum Recurrent Embedding Neural Network
Mingrui Jing, Erdong Huang, Xiao Shi +2
Quantum neural networks have emerged as promising quantum machine learning models, leveraging the properties of quantum systems and classical optimization to solve complex problems…
A Quantum Algorithm Framework for Discrete Probability Distributions with Applications to Rényi Entropy Estimation
Xinzhao Wang, Shengyu Zhang, Tongyang Li
Estimating statistical properties is fundamental in statistics and computer science. In this paper, we propose a unified quantum algorithm framework for estimating properties of di…
Optimal (controlled) quantum state preparation and improved unitary synthesis by quantum circuits with any number of ancillary qubits
Pei Yuan, Shengyu Zhang
As a cornerstone for many quantum linear algebraic and quantum machine learning algorithms, controlled quantum state preparation (CQSP) aims to provide the transformation of $|i\ra…
Exploiting Different Levels of Parallelism in the Quantum Control Microarchitecture for Superconducting Qubits
Mengyu Zhang, Lei Xie, Zhenxing Zhang +7
As current Noisy Intermediate Scale Quantum (NISQ) devices suffer from decoherence errors, any delay in the instruction execution of quantum control microarchitecture can lead to t…
Asymptotically Optimal Circuit Depth for Quantum State Preparation and General Unitary Synthesis
Xiaoming Sun, Guojing Tian, Shuai Yang +2
The Quantum State Preparation problem aims to prepare an -qubit quantum state from the initial state , for a…
A Neural-Network Variational Quantum Algorithm for Many-Body Dynamics
Chee-Kong Lee, Pranay Patil, Shengyu Zhang +1
We propose a neural-network variational quantum algorithm to simulate the time evolution of quantum many-body systems. Based on a modified restricted Boltzmann machine (RBM) wavefu…