[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 …
Noisy intermediate-scale quantum algorithms
A universal fault-tolerant quantum computer that can efficiently solve problems such as
integer factorization and unstructured database search requires millions of qubits with low …
integer factorization and unstructured database search requires millions of qubits with low …
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 …
Solving nonlinear differential equations with differentiable quantum circuits
We propose a quantum algorithm to solve systems of nonlinear differential equations. Using
a quantum feature map encoding, we define functions as expectation values of parametrized …
a quantum feature map encoding, we define functions as expectation values of parametrized …
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 …
Tequila: A platform for rapid development of quantum algorithms
JS Kottmann, S Alperin-Lea… - Quantum Science …, 2021 - iopscience.iop.org
Variational quantum algorithms are currently the most promising class of algorithms for
deployment on near-term quantum computers. In contrast to classical algorithms, there are …
deployment on near-term quantum computers. In contrast to classical algorithms, there are …
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 …
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 …
Self-Consistent Field Approach for the Variational Quantum Eigensolver: Orbital Optimization Goes Adaptive
We present a self-consistent field (SCF) approach within the adaptive derivative-assembled
problem-tailored ansatz variational quantum eigensolver (ADAPT-VQE) framework for …
problem-tailored ansatz variational quantum eigensolver (ADAPT-VQE) framework for …
Quantum computation of conical intersections on a programmable superconducting quantum processor
Conical intersections (CIs) are pivotal in many photochemical processes. Traditional
quantum chemistry methods, such as the state-average multiconfigurational methods, face …
quantum chemistry methods, such as the state-average multiconfigurational methods, face …