4 papers
Reducing Complexity for Quantum Approaches in Train Load Optimization
Zhijie Tang, Albert Nieto-Morales, Arit Kumar Bishwas
Efficiently planning container loads onto trains is a computationally challenging combinatorial optimization problem, central to logistics and supply chain management. A primary so…
Quantum-Secure-By-Construction (QSC): A Paradigm Shift For Post-Quantum Agentic Intelligence
Arit Kumar Bishwas, Mousumi Sen, Albert Nieto-Morales +1
As agentic artificial intelligence systems scale across globally distributed and long lived infrastructures, secure and policy compliant communication becomes a fundamental systems…
A framework to evaluate the performance of Variational Quantum Algorithms
Ernesto Mamedaliev, Vladyslav Libov, Albert Nieto-Morales +2
Variational Quantum Algorithms (VQAs) are promising methods for solving combinatorial optimization problems on noisy intermediate-scale quantum (NISQ) devices. However, benchmarkin…
Practical insights on the effect of different encodings, ansätze and measurements in quantum and hybrid convolutional neural networks
Jesús Lozano-Cruz, Albert Nieto-Morales, Oriol Balló-Gimbernat +3
This study investigates the design choices of parameterized quantum circuits (PQCs) within quantum and hybrid convolutional neural network (HQNN and QCNN) architectures, applied to…