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

During the last ten years, superconducting circuits have passed from being interesting
physical devices to becoming contenders for near-future useful and scalable quantum …

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 …

Quantum computing and simulations are creating transformative opportunities by exploiting
the principles of quantum mechanics in new ways to generate and process information. It is …

As physical implementations of quantum architectures emerge, it is increasingly important to
consider the cost of algorithms for practical connectivities between qubits. We show that by …

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 …

Quantum simulations are bound to be one of the main applications of near-term quantum
computers. Quantum chemistry and condensed matter physics are expected to benefit from …

More computational resources (ie, more physical qubits and qubit connections) on a
superconducting quantum processor not only improve the performance but also result in …

Near-term quantum computers are limited by the decoherence of qubits to only being able to
run low-depth quantum circuits with acceptable fidelity. This severely restricts what quantum …

Simulating quantum systems is one of the most important potential applications of quantum
computers. The high-level circuit defining the simulation needs to be compiled into one that …