Among different quantum algorithms, PQC for QML show promises on near-term devices. To
facilitate the QML and PQC research, a recent python library called TorchQuantum has been …

State-of-the-art noisy digital quantum computers can only execute short-depth quantum
circuits. Variational algorithms are a promising route to unlock the potential of noisy quantum …

Large Language Models (LLMs) contribute significantly to the development of
conversational AI and has great potentials to assist the scientific research in various areas …

Current quantum programs are mostly synthesized and compiled on the gate-level, where
quantum circuits are composed of quantum gates. The gate-level workflow, however …

Quantum hardware suffers from high error rates and noise, which makes directly running
applications on them ineffective. Quantum Error Correction (QEC) is a critical technique …

Variational Quantum Algorithms (VQA) are promising to demonstrate quantum advantages
on near-term devices. Designing ansatz, a variational circuit with parameterized gates, is of …

Variational quantum algorithms (VQAs) have emerged as a powerful class of algorithms that
is highly suitable for noisy quantum devices. Therefore, investigating their design has …

Quantum computers promise a great computational advantage over classical computers,
which might help solve various computational challenges such as the simulation of …

Quantum Computing has attracted much research attention because of its potential to
achieve fundamental speed and efficiency improvements in various domains. Among …

Quantum state preparation, a crucial subroutine in quantum computing, involves generating
a target quantum state from initialized qubits. Arbitrary state preparation algorithms can be …