Michele Grossi

Quantum Advantage Seeker with Kernels (QuASK): a software framework to speed up the research in quantum machine learning

2023 · Quantum Machine Intelligence

Abstract Exploiting the properties of quantum information to the benefit of machine learning models is perhaps the most active field of research in quantum computation. This interest has supported the development of a multitude of …

Counterdiabatic optimized driving in quantum phase sensitive models

2023 · arXiv (Cornell University)

State preparation plays a pivotal role in numerous quantum algorithms, including quantum phase estimation. This paper extends and benchmarks counterdiabatic driving protocols across three one-dimensional spin systems characterized by phase transitions: the axial next-nearest neighbor …

Noisy gates for simulating quantum computers

2023 · Physical Review Research

We present a novel method for simulating the noisy behavior of quantum computers, which allows to efficiently incorporate environmental effects in the driven evolution implementing the gates acting on the qubits. We show how to …

Enhanced feature encoding and classification on distributed quantum hardware

2024 · arXiv (Cornell University)

The steady progress of quantum hardware is motivating the search for novel quantum algorithm optimization strategies for near-term, real-world applications. In this study, we propose a novel feature map optimization strategy for Quantum Support Vector …