This chapter discusses that the development of quantum applications typically incorporates
the development of quantum programs, classical programs, and workflows to orchestrate …

Context Quantum computing (QC) holds the potential to revolutionize computing by solving
complex problems exponentially faster than classical computers, transforming fields such as …

Quantum applications are most often hybrid, ie, they are not only made of implementations
of pure quantum algorithms but also of classical programs as well as workflows and …

Quantum algorithms have the potential to outperform classical algorithms for certain
problems. However, implementing quantum algorithms in a reusable manner and …

For very specific problems, quantum advantage has recently been demonstrated. However,
current NISQ computers are error-prone and only support small numbers of qubits. This …

Quantum computers can solve certain problems faster than classical computers. The
number of quantum computers offered via the cloud increases such that a variety is …

The execution of a quantum algorithm typically requires various classical pre-and post-
processing tasks. Hence, workflows are a promising means to orchestrate these tasks …

The rapid evolution of quantum computation in the cloud creates considerable opportunities
for multiple real-world application scenarios, including chemical simulation, optimization …

In recent years, various vendors have made quantum software frameworks available. Yet
with vendor-specific frameworks, code portability seems at risk, especially in a field where …

The recent development of quantum computing, which makes use of entanglement,
superposition, and other quantum fundamental concepts, has the ability to provide …