In recent years, research in quantum computing has largely focused on two approaches:
near-term intermediate-scale quantum (NISQ) computing and future fault-tolerant quantum …

Quantum phase estimation is one of the critical building blocks of quantum computing. For
early fault-tolerant quantum devices, it is desirable for a quantum phase estimation algorithm …

We present a novel ground-state energy estimation algorithm that is robust under global
depolarizing error channels. Building upon the recently developed Quantum Exponential …

We compare several quantum phase estimation (QPE) protocols intended for early fault-
tolerant (EFT) quantum computers in the context of models of their implementations on a …

As a signal recovery algorithm, compressed sensing is particularly effective when the data
has low complexity and samples are scarce, which aligns natually with the task of quantum …

Modeling and simulating the protein folding process overall remains a grand challenge in
computational biology. We systematically investigate end-to-end quantum algorithms for …

Quantum computers can potentially transform the landscape of computing by harnessing the
distinct properties of quantum mechanics. In this dissertation, we deepen our understanding …