Recent advances in quantum computing systems attract tremendous attention. Commercial
companies, such as IBM, Amazon, and IonQ, have started to provide access to noisy …

The growth of the need for quantum computers in many domains such as machine learning,
numerical scientific simulation, and finance has urged quantum computers to produce more …

Quantum state preparation involves preparing a target state from an initial system, a process
integral to applications such as quantum machine learning and solving systems of linear …

Over the past decade, the rapid advancement of deep learning and big data applications
has been driven by vast datasets and high-performance computing systems. However, as …

In the near-term noisy intermediate-scale quantum (NISQ) era, high noise will significantly
reduce the fidelity of quantum computing. What's worse, recent works reveal that the noise …

Current advancements in technology have focused the attention of the quantum computing
community toward exploring the potential of near-term devices whose computing power …

Today, the development of quantum computing systems has attracted widespread attention
from society. Many research institutes and companies hope to use quantum computers to …

This project delves into the implementation of the quantum counting algorithm within a
distributed system, focusing on its efficacy in handling extensive datasets. The primary …

Recent advances in quantum computing systems attract tremendous attention. Commercial
companies, such as IBM, Amazon, and IonQ, have started to provide access to noisy …