16 citations · 50 across the 6 of their papers we have counts for
6 papers · 1 filter
Qiboml: towards the orchestration of quantum-classical machine learning
Matteo Robbiati, Andrea Papaluca, Andrea Pasquale +12
We present Qiboml, an open-source software library for orchestrating quantum and classical components in hybrid machine learning workflows. Building on Qibo's quantum computing cap…
Quantum noise modeling through Reinforcement Learning
Simone Bordoni, Andrea Papaluca, Piergiorgio Buttarini +3
In the current era of quantum computing, robust and efficient tools are essential to bridge the gap between simulations and quantum hardware execution. In this work, we introduce a…
Long-lived Particles Anomaly Detection with Parametrized Quantum Circuits
Simone Bordoni, Denis Stanev, Tommaso Santantonio +1
We investigate the possibility to apply quantum machine learning techniques for data analysis, with particular regard to an interesting use-case in high-energy physics. We propose…
Convolutional neural network based decoders for surface codes
Simone Bordoni, Stefano Giagu
The decoding of error syndromes of surface codes with classical algorithms may slow down quantum computation. To overcome this problem it is possible to implement decoding algorith…
Quantum Diffusion Models
Andrea Cacioppo, Lorenzo Colantonio, Simone Bordoni +1
We propose a quantum version of a generative diffusion model. In this algorithm, artificial neural networks are replaced with parameterized quantum circuits, in order to directly g…
Qibolab: an open-source hybrid quantum operating system
Stavros Efthymiou, Alvaro Orgaz-Fuertes, Rodolfo Carobene +13
We present Qibolab, an open-source software library for quantum hardware control integrated with the Qibo quantum computing middleware framework. Qibolab provides the software laye…