Variational quantum algorithms
Applications such as simulating complicated quantum systems or solving large-scale linear
algebra problems are very challenging for classical computers, owing to the extremely high …
algebra problems are very challenging for classical computers, owing to the extremely high …
[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 …
A quantum computing view on unitary coupled cluster theory
We present a review of the Unitary Coupled Cluster (UCC) ansatz and related ansätze
which are used to variationally solve the electronic structure problem on quantum …
which are used to variationally solve the electronic structure problem on quantum …
VQE method: a short survey and recent developments
The variational quantum eigensolver (VQE) is a method that uses a hybrid quantum-
classical computational approach to find eigenvalues of a Hamiltonian. VQE has been …
classical computational approach to find eigenvalues of a Hamiltonian. VQE has been …
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 …
Molecular quantum dynamics: A quantum computing perspective
Conspectus Simulating molecular dynamics (MD) within a comprehensive quantum
framework has been a long-standing challenge in computational chemistry. An exponential …
framework has been a long-standing challenge in computational chemistry. An exponential …
Near-term quantum computing techniques: Variational quantum algorithms, error mitigation, circuit compilation, benchmarking and classical simulation
Quantum computing is a game-changing technology for global academia, research centers
and industries including computational science, mathematics, finance, pharmaceutical …
and industries including computational science, mathematics, finance, pharmaceutical …
Performance comparison of optimization methods on variational quantum algorithms
Variational quantum algorithms (VQAs) offer a promising path toward using near-term
quantum hardware for applications in academic and industrial research. These algorithms …
quantum hardware for applications in academic and industrial research. These algorithms …
Measurements as a roadblock to near-term practical quantum advantage in chemistry: Resource analysis
Recent advances in quantum computing devices have brought attention to hybrid quantum-
classical algorithms like the variational quantum eigensolver (VQE) as a potential route to …
classical algorithms like the variational quantum eigensolver (VQE) as a potential route to …
Quantum orbital-optimized unitary coupled cluster methods in the strongly correlated regime: Can quantum algorithms outperform their classical equivalents?
The Coupled Cluster (CC) method is used to compute the electronic correlation energy in
atoms and molecules and often leads to highly accurate results. However, due to its single …
atoms and molecules and often leads to highly accurate results. However, due to its single …