In this work, the first quantum Ansätze for the statistical relational learning on knowledge
graphs using parametric quantum circuits are proposed. Two types of variational quantum …

The swap test is a quantum algorithm capable of computing the absolute value of the scalar
product of two arbitrary wavefunctions. Scalar products represent a crucial ingredient to …

A hybrid quantum-classical computing method for solving optimization problems though
applications of non-unitary transformations. An initial state is prepared, a transformation is …

Hybrid quantum-classical (HQC) algorithms make it possible to use near-term quantum
devices supported by classical computational resources by useful control schemes. In this …

(57) ABSTRACT A hybrid quantum-classical computer solves systems of equations and
eigenvalue problems utilizing non-unitary transformations on the quantum computer. The …

(57) ABSTRACT A hybrid quantum-classical (HQC) computing system, including a quantum
computing component and a classical computing component, computes the inverse of a …

Graph kernels are often used in bioinformatics and network applications to measure the
similarity between graphs; therefore, they may be used to construct efficient graph …

This work proposes a novel algorithm (Fast-QTrain) that enables fast training of variational
classifiers. This training speedup is achieved by processing multiple samples, from a …

Quantum devices are extremely noisy due to its inherent architecture. This can introduce
errors or completely erase the information stored in qubits. High noise levels in a quantum …

In the rapidly advancing field of quantum technologies, integrated quantum photonics
merges quantum mechanics with photonics, promising breakthroughs in communication …