[HTML][HTML] The variational quantum eigensolver: a review of methods and best practices
The variational quantum eigensolver (or VQE), first developed by Peruzzo et al.(2014), has
received significant attention from the research community in recent years. It uses the …
received significant attention from the research community in recent years. It uses the …
Quantum information and algorithms for correlated quantum matter
Discoveries in quantum materials, which are characterized by the strongly quantum-
mechanical nature of electrons and atoms, have revealed exotic properties that arise from …
mechanical nature of electrons and atoms, have revealed exotic properties that arise from …
Quantum-centric supercomputing for materials science: A perspective on challenges and future directions
Computational models are an essential tool for the design, characterization, and discovery
of novel materials. Computationally hard tasks in materials science stretch the limits of …
of novel materials. Computationally hard tasks in materials science stretch the limits of …
Hardware-efficient variational quantum algorithms for time evolution
Parameterized quantum circuits are a promising technology for achieving a quantum
advantage. An important application is the variational simulation of time evolution of …
advantage. An important application is the variational simulation of time evolution of …
Programmable quantum simulations of spin systems with trapped ions
Laser-cooled and trapped atomic ions form an ideal standard for the simulation of interacting
quantum spin models. Effective spins are represented by appropriate internal energy levels …
quantum spin models. Effective spins are represented by appropriate internal energy levels …
Quantum simulations of materials on near-term quantum computers
Quantum computers hold promise to enable efficient simulations of the properties of
molecules and materials; however, at present they only permit ab initio calculations of a few …
molecules and materials; however, at present they only permit ab initio calculations of a few …
Evaluating the noise resilience of variational quantum algorithms
We simulate the effects of different types of noise in state preparation circuits of variational
quantum algorithms. We first use a variational quantum eigensolver to find the ground state …
quantum algorithms. We first use a variational quantum eigensolver to find the ground state …
Reduced density matrix sampling: Self-consistent embedding and multiscale electronic structure on current generation quantum computers
We investigate fully self-consistent multiscale quantum-classical algorithms on current
generation superconducting quantum computers, in a unified approach to tackle the …
generation superconducting quantum computers, in a unified approach to tackle the …
Symmetry-adapted variational quantum eigensolver
We propose a scheme to restore spatial symmetry of Hamiltonian in the variational-quantum-
eigensolver (VQE) algorithm for which the quantum circuit structures used usually break the …
eigensolver (VQE) algorithm for which the quantum circuit structures used usually break the …
Quantum computing with and for many-body physics
Quantum computing technologies are making steady progress. This has opened new
opportunities for tackling problems whose complexity prevents their description on classical …
opportunities for tackling problems whose complexity prevents their description on classical …