5 papers · 1 filter
Weighted Quantum Signal Processing: Low-Depth Polynomial Approximation with Applications to Kolmogorov-Arnold Networks
Rohit Sarma Sarkar, Rupayan Bhattacharjee, Elias F. Combarro +5
Quantum Signal Processing is a powerful quantum framework for generating and approximating univariate polynomials. However, QSP is often limited by circuit-depth bottlenecks and pa…
An Analytical Approach to Design Space Exploration for Cavity-Mediated Quantum State Transfer in Multi-core Architectures
Biel Pons Zaragoza, Junaid Khan, Rohit Sarma Sarkar +4
In multi-core quantum computing architectures, waveguide-mediated interconnects are essential for facilitating fast, high-fidelity quantum state transfer between qubits located in…
Efficiently architecting VQAs: Expressibility--Trainability--Resources Pareto-Optimality
Rodrigo M. Sanz, Andreu Angles-Castillo, Eduard Alarcon +1
Ansatz selection is a key factor in the performance of variational quantum algorithms (VQAs). While much of the state-of-the-art still relies on heuristic choices, an inadequate ci…
Early-Stage Cancer Biomarker Detection via Intravascular Nanomachines: Modeling and Analysis
Abdollah Rezagholi, Sergi Abadal, Filip Lemic +2
Early detection of cancer is essential for timely diagnosis and improved patient outcomes. Among emerging technologies, intra-body nanoscale communication offers an innovative solu…
Assessing the Impact of Low Resolution Control Electronics on Quantum Neural Network Performance
Rupayan Bhattacharjee, Rohit Sarma Sarkar, Sergi Abadal +2
Scaling quantum computers requires tight integration of cryogenic control electronics with quantum processors, where Digital-to-Analog Converters (DACs) face severe power and area…