  In the recent years, numerous research advancements have extended the limit
of classical simulation of quantum algorithms. Although, most of the
state-of-the-art classical simulators are only limited to binary quantum
systems, which restrict the classical simulation of higher-dimensional quantum
computing systems. Through recent developments in higher-dimensional quantum
computing systems, it is realized that implementing qudits improves the overall
performance of a quantum algorithm by increasing memory space and reducing the
asymptotic complexity of a quantum circuit. Hence, in this article, we
introduce \textbf{QuDiet}, a state-of-the-art user-friendly python-based
higher-dimensional quantum computing simulator. \textbf{QuDiet} offers
multi-valued logic operations by utilizing generalized quantum gates with an
abstraction so that any naive user can simulate qudit systems with ease as
compared to the existing ones. We simulate various benchmark quantum circuits
in \textbf{QuDiet} and show the considerable speedup in simulation time as
compared to the other simulators without loss in precision. Finally,
\textbf{QuDiet} provides a full qubit-qudit hybrid quantum simulator package
with quantum circuit templates of well-known quantum algorithms for fast
prototyping and simulation. The complete code and packages of \textbf{QuDiet}
is available at https://github.com/LegacYFTw/QuDiet so that other platforms can
incorporate it as a classical simulation option for qubit-qudit hybrid systems
to their platforms.
