It is for the first time that quantum simulation for high-energy physics (HEP) is studied in the
US decadal particle-physics community planning, and in fact until recently, this was not …

Suppressing noise in physical systems is of fundamental importance. As quantum
computers mature, quantum error correcting codes (QECs) will be adopted in order to …

Under suitable assumptions, some recently developed quantum algorithms can estimate the
ground-state energy and prepare the ground state of a quantum Hamiltonian with near …

Quantum computers, if fully realized, promise to be a revolutionary technology. As a result,
quantum computing has become one of the hottest areas of research in the last few years …

A significant problem for current quantum computers is noise. While there are many distinct
noise channels, the depolarizing noise model often appropriately describes average noise …

The superiority of variational quantum algorithms (VQAs) such as quantum neural networks
(QNNs) and variational quantum eigensolvers (VQEs) heavily depends on the expressivity …

The successful implementation of algorithms on quantum processors relies on the accurate
control of quantum bits (qubits) to perform logic gate operations. In this era of noisy …

The SWAP network is a qubit routing sequence that can be used to efficiently execute the
Quantum Approximate Optimization Algorithm (QAOA). Even with a minimally connected …

We explore the first-order phase transition in the lattice Schwinger model in the presence of
a topological θ-term by means of the variational quantum eigensolver (VQE). Using two …

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 …