[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 …
Emerging quantum computing algorithms for quantum chemistry
Digital quantum computers provide a computational framework for solving the Schrödinger
equation for a variety of many‐particle systems. Quantum computing algorithms for the …
equation for a variety of many‐particle systems. Quantum computing algorithms for the …
Physics-informed bayesian optimization of variational quantum circuits
In this paper, we propose a novel and powerful method to harness Bayesian optimization for
variational quantum eigensolvers (VQEs)-a hybrid quantum-classical protocol used to …
variational quantum eigensolvers (VQEs)-a hybrid quantum-classical protocol used to …
Quantifying the effect of gate errors on variational quantum eigensolvers for quantum chemistry
Variational quantum eigensolvers (VQEs) are leading candidates to demonstrate near-term
quantum advantage. Here, we conduct density-matrix simulations of leading gate-based …
quantum advantage. Here, we conduct density-matrix simulations of leading gate-based …
Equivariant variational quantum eigensolver to detect phase transitions through energy level crossings
G Crognaletti, G Di Bartolomeo, M Vischi… - Quantum Science …, 2024 - iopscience.iop.org
Level spectroscopy stands as a powerful method for identifying the transition point that
delineates distinct quantum phases. Since each quantum phase exhibits a characteristic …
delineates distinct quantum phases. Since each quantum phase exhibits a characteristic …
Simulating large-size quantum spin chains on cloud-based superconducting quantum computers
Quantum computers have the potential to efficiently simulate large-scale quantum systems
for which classical approaches are bound to fail. Even though several existing quantum …
for which classical approaches are bound to fail. Even though several existing quantum …
All you need is spin: SU (2) equivariant variational quantum circuits based on spin networks
Variational algorithms require architectures that naturally constrain the optimisation space to
run efficiently. In geometric quantum machine learning, one achieves this by encoding group …
run efficiently. In geometric quantum machine learning, one achieves this by encoding group …
Probing ground-state properties of the kagome antiferromagnetic Heisenberg model using the variational quantum eigensolver
JL Bosse, A Montanaro - Physical Review B, 2022 - APS
Finding and probing the ground states of spin lattices, such as the antiferromagnetic
Heisenberg model on the kagome lattice (KAFH), is a very challenging problem on classical …
Heisenberg model on the kagome lattice (KAFH), is a very challenging problem on classical …
Variational-quantum-eigensolver–inspired optimization for spin-chain work extraction
The energy extraction from quantum sources is a key task to develop new quantum devices
such as quantum batteries (QB). In this context, one of the main figures of merit is the …
such as quantum batteries (QB). In this context, one of the main figures of merit is the …
[图书][B] Advances in atomic, molecular, and optical physics
PR Berman, CC Lin, E Arimondo - 2006 - books.google.com
Volume 54 of the Advances in Atomic, Molecular, and Optical Physics Series contains ten
contributions, covering a diversity of subject areas in atomic, molecular and optical physics …
contributions, covering a diversity of subject areas in atomic, molecular and optical physics …