  Variational Quantum Algorithms (VQA) have emerged with a wide variety of
applications. One question to ask is either they can efficiently be implemented
and executed on existing architectures. Current hardware suffers from
uncontrolled noise that can alter the expected results of one calculation. The
nature of this noise is different from one technology to another. In this work,
we chose to investigate a technology that is intrinsically resilient to
bit-flips: cat qubits. To this end, we implement two noise models. The first
one is hardware-agnostic -- in the sense that it is used in the literature to
cover different hardware types. The second one is specific to cat qubits. We
perform simulations on two types of problems that can be formulated with VQAs
(Quantum Approximate Optimization Algorithm (QAOA) and the Variatinoal Quantum
Linear Soler (VQLS)), study the impact of noise on the evolution of the cost
function and extract noise level thresholds from which a noise-resilient regime
can be considered. By tackling compilation issues, we discuss the need of
implementing hardware-specific noise models as hardware-agnostic ones can lead
to misleading conclusions regarding the regime of noise that is acceptable for
an algorithm to run.
