Quantum computing is emerging as a groundbreaking force, promising to redefine the
boundaries of technology and business. This paper provides an in-depth examination of the …

The past decade has witnessed significant advancements in quantum hardware,
encompassing improvements in speed, qubit quantity, and quantum volume—a metric …

Quantum architecture Search (QAS) is a promising direction for optimization and automated
design of quantum circuits towards quantum advantage. Recent techniques in QAS …

The design of fast algorithms for combinatorial optimization greatly contributes to a plethora
of domains such as logistics, finance, and chemistry. Quantum approximate optimization …

Parameterized quantum circuits (PQCs) have been widely used as a machine learning
model to explore the potential of achieving quantum advantages for various tasks. However …

Ground state preparation is classically intractable for general Hamiltonians. On quantum
devices, shallow parametrized circuits can be effectively trained to obtain short-range …

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

To counter the significant contribution of buildings to global energy consumption and
greenhouse gas emissions, participation in demand response programs incentivizes grid …

Optimization problems are the core challenge in many fields of science and engineering, yet
general and effective methods for finding optimal solutions remain scarce. Quantum …

The performance of the variational quantum algorithm (VQA) highly depends on the
structure of the quantum circuit. Quantum architecture search (QAS) algorithm aims to …