The expertise at QuantumNet encompasses the company’s core strengths in applying quantum and classical technologies to industrial challenges.
Collaboration with partners and leading academic laboratories ensures a pragmatic, impact-driven approach to designing and validating hybrid quantum-classical algorithms on real-world datasets and hardware.
The following sections present four strategic domains of expertise — Optimization Problems; Quantum AI & Machine Learning; Cybersecurity & Cryptography; Big Data & IoT — each outlining methodologies, objectives and demonstrated outcomes through applied quantum solutions.
We design and develop hybrid quantum-classical algorithms to tackle complex optimization challenges across a range of critical sectors, including smart mobility, transportation systems, and the enhancement of cultural heritage experiences. Our research focuses on solving real-world problems such as optimal pathfinding, dynamic traffic flow management, eco-friendly routing, and efficient resource allocation. We use advanced frameworks like the Quantum Approximate Optimization Algorithm (QAOA) and quantum-enhanced heuristics. We test such methods using real-world data and evaluate them on both quantum simulators and actual quantum hardware, assessing practical relevance and scalability.
We explore the potential of quantum-enhanced artificial intelligence (AI) to address complex challenges in both industrial and scientific domains. Our work involves the design, implementation, and benchmarking of advanced models such as Quantum Convolutional Neural Networks (QCNNs) and Variational Quantum Classifiers (VQCs), targeting tasks like image classification, anomaly detection, and predictive analytics. Our research is oriented to find tangible advantages in practical use cases. Recent projects include quantum networks trained to identify plant varieties and quantum classifiers for predictive maintenance through fault detection in industrial production chains.
Cybersecurity focuses on the safety and integrity of data that travel across the web every day, protecting them from cyberattacks. However, the rise of quantum computers poses a serious threat to classical cryptographic algorithms. Many of these traditional methods rely on the computational difficulty of solving specific mathematical problems, such as prime factorization. We conduct research in Quantum Key Distribution (QKD) protocols, aiming to strengthen cybersecurity in the quantum era. Our work includes the simulation of QKD protocols to illustrate the foundational principles of quantum cryptography and to support education, experimentation, and the development of secure communication solutions in this rapidly evolving field.
We leverage our expertise in the field of Internet of Things (IoT) to integrate quantum computing solutions into IoT frameworks, creating a unique testing ground to explore the practical advantages of quantum technologies as they become increasingly powerful. By embedding quantum capabilities into systems that process a vast amount of real-time data, we aim to investigate how quantum computing can enhance processing efficiency, decision-making, and analytics in data-intensive environments.