Quantum-classical hybrid algorithms are emerging as promising candidates for near-term
practical applications of quantum information processors in a wide variety of fields ranging …

As the advances in quantum hardware bring us into the noisy intermediate-scale quantum
(NISQ) era, one possible task we can perform without quantum error correction using NISQ …

Machine learning is seen as a promising application of quantum computation. For near-term
noisy intermediate-scale quantum devices, parametrized quantum circuits have been …

Parameterized quantum circuits (PQCs) are a central component of many variational
quantum algorithms, yet there is a lack of understanding of how their parameterization …

Preparing the ground states of a many-body system is essential for evaluating physical
quantities and determining the properties of materials. This work provides a quantum ground …

Een aantal fysisch intuïtieve resultaten voor de berekening van meervoudige correlaties in
fase-ruimte representaties van de kwantummechanica worden verkregen. Ze relateren …