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Alignment between initial state and mixer improves QAOA performance for constrained optimization
Quantum alternating operator ansatz (QAOA) has a strong connection to the adiabatic
algorithm, which it can approximate with sufficient depth. However, it is unclear to what …
algorithm, which it can approximate with sufficient depth. However, it is unclear to what …
Dynamical simulation via quantum machine learning with provable generalization
Much attention has been paid to dynamical simulation and quantum machine learning
(QML) independently as applications for quantum advantage, while the possibility of using …
(QML) independently as applications for quantum advantage, while the possibility of using …
Quantum combinatorial optimization in the nisq era: A systematic map** study
The application of quantum computing to combinatorial optimization problems is attracting
increasing research interest, resulting in diverse approaches and research streams. This …
increasing research interest, resulting in diverse approaches and research streams. This …
Parallel hybrid quantum-classical machine learning for kernelized time-series classification
Supervised time-series classification garners widespread interest because of its applicability
throughout a broad application domain including finance, astronomy, biosensors, and many …
throughout a broad application domain including finance, astronomy, biosensors, and many …
Quantum Leaps: Dynamic Event Identification using Phasor Measurement Units in Power Systems
Power system dynamics while appearing distinct, all exhibit features that change over time.
Within this vast context, deviations from typical time-based patterns can range from being …
Within this vast context, deviations from typical time-based patterns can range from being …