Quantum optimal control in quantum technologies. Strategic report on current status, visions and goals for research in Europe
Quantum optimal control, a toolbox for devising and implementing the shapes of external
fields that accomplish given tasks in the operation of a quantum device in the best way …
fields that accomplish given tasks in the operation of a quantum device in the best way …
[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 review on quantum approximate optimization algorithm and its variants
Abstract The Quantum Approximate Optimization Algorithm (QAOA) is a highly promising
variational quantum algorithm that aims to solve combinatorial optimization problems that …
variational quantum algorithm that aims to solve combinatorial optimization problems that …
Orders of magnitude increased accuracy for quantum many-body problems on quantum computers via an exact transcorrelated method
Transcorrelated methods provide an efficient way of partially transferring the description of
electronic correlations from the ground-state wave function directly into the underlying …
electronic correlations from the ground-state wave function directly into the underlying …
Complete active space methods for NISQ devices: The importance of canonical orbital optimization for accuracy and noise resilience
To avoid the scaling of the number of qubits with the size of the basis set, one can divide the
molecular space into active and inactive regions, which is also known as complete active …
molecular space into active and inactive regions, which is also known as complete active …
State preparation boosters for early fault-tolerant quantum computation
Quantum computing is believed to be particularly useful for the simulation of chemistry and
materials, among the various applications. In recent years, there have been significant …
materials, among the various applications. In recent years, there have been significant …
Surviving the barren plateau in variational quantum circuits with bayesian learning initialization
Variational quantum-classical hybrid algorithms are seen as a promising strategy for solving
practical problems on quantum computers in the near term. While this approach reduces the …
practical problems on quantum computers in the near term. While this approach reduces the …
Analyzing variational quantum landscapes with information content
The parameters of the quantum circuit in a variational quantum algorithm induce a
landscape that contains the relevant information regarding its optimization hardness. In this …
landscape that contains the relevant information regarding its optimization hardness. In this …
Solving non-native combinatorial optimization problems using hybrid quantum-classical algorithms
Combinatorial optimization is a challenging problem applicable in a wide range of fields
from logistics to finance. Recently, quantum computing has been used to attempt to solve …
from logistics to finance. Recently, quantum computing has been used to attempt to solve …
Quantum-enhanced support vector machine for sentiment classification
Quantum computers have potential computational abilities such as speeding up complex
computations, parallelism by superpositions, and handling large data sets. Moreover, the …
computations, parallelism by superpositions, and handling large data sets. Moreover, the …