One of the most promising suggested applications of quantum computing is solving
classically intractable chemistry problems. This may help to answer unresolved questions …

Quantum materials exhibit a wide array of exotic phenomena and practically useful
properties. A better understanding of these materials can provide deeper insights into …

The Fermi-Hubbard model is of fundamental importance in condensed-matter physics, yet is
extremely challenging to solve numerically. Finding the ground state of the Hubbard model …

We propose a quantum-classical hybrid algorithm of the power method, here dubbed as the
quantum power method, to evaluate H^ n| ψ⟩ with quantum computers, where n is a non …

A central component of variational quantum algorithms (VQAs) is the state-preparation
circuit, also known as ansatz or variational form. This circuit is most commonly designed …

Waveguide QED simulators are analog quantum simulators made by quantum emitters
interacting with one-dimensional photonic band gap materials. One of their remarkable …

The Green's function plays a crucial role when studying the nature of quantum many-body
systems, especially strongly correlated systems. Although the development of quantum …

Establishing the nature of the ground state of the Heisenberg antiferromagnet (HAFM) on the
kagome lattice is well-known to be a prohibitively difficult problem for classical computers …

In the near future, material and drug design may be aided by quantum computer assisted
simulations. These have the potential to target chemical systems intractable by the most …

As the advances in quantum hardware bring us into the noisy intermediate-scale quantum
(NISQ) era, one possible task we can perform without quantum error correction using NISQ …