Railway networks have become increasingly important in recent times,
esp...
Accurate and robust object detection is critical for autonomous driving....
With the growing concern for air quality and its impact on human health,...
Classically simulating quantum circuits is crucial when developing or te...
Quantum computers promise to efficiently solve important problems classi...
Reversible circuits form the backbone for many promising emerging
techno...
Any quantum computing application, once encoded as a quantum circuit, mu...
Nowadays, Deep Learning (DL) methods often overcome the limitations of
t...
Data selection is essential for any data-based optimization technique, s...
Variational quantum algorithms have been introduced as a promising class...
Compiling a high-level quantum circuit down to a low-level description t...
Nowadays, deep neural networks are widely used in a variety of fields th...
Quantum Error Correction (QEC) is an essential field of research towards...
Gesture recognition is one of the most intuitive ways of interaction and...
Satisfiability Testing (SAT) techniques are well-established in classica...
In this paper, we introduce the Label-Aware Ranked loss, a novel metric ...
We consider the problem of estimating quantum observables on a collectio...
Due to the significant progress made in the implementation of quantum
ha...
In this work, we consider error detection via simulation for reversible
...
This paper presents a systematic mapping study on the model-driven
engin...
State of the art quantum computing architectures are founded on the deci...
Large scale quantum computing is highly anticipated, and quantum circuit...
Noisy, intermediate-scale quantum (NISQ) computers are expected to execu...