most citedEvaluating Angle and Amplitude Encoding Strategies for Variational Quantum Machine Learning: their impact on model's accuracy

8 citations · 14 across the 3 of their papers we have counts for

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quant-ph2025★ 4 cited

AEQUAM: Accelerating Quantum Algorithm Validation through FPGA-Based Emulation

Lorenzo Lagostina, Deborah Volpe, Maurizio Zamboni +1

This work presents AEQUAM (Area Efficient QUAntum eMulation), a toolchain that enables faster and more accessible quantum circuit verification. It consists of a compiler that trans…

quant-ph2024★ 2 cited

AMARETTO: Enabling Efficient Quantum Algorithm Emulation on Low-Tier FPGAs

Christian Conti, Deborah Volpe, Mariagrazia Graziano +2

Researchers and industries are increasingly drawn to quantum computing for its computational potential. However, validating new quantum algorithms is challenging due to the limitat…