31 citations · 61 across the 8 of their papers we have counts for
10 papers · 1 filter
Time-series forecasting with multiphoton quantum states and integrated photonics
Rosario Di Bartolo, Simone Piacentini, Francesco Ceccarelli +4
Quantum machine learning algorithms have very recently attracted significant attention in photonic platforms. In particular, reconfigurable integrated photonic circuits offer a pro…
A scalable advantage in multi-photon quantum machine learning
Yong Wang, Zhenghao Yin, Tobias Haug +6
Photons are promising candidates for quantum information technology due to their high robustness and long coherence time at room temperature. Inspired by the prosperous development…
Modular Quantum-to-Quantum Bernoulli Factory in an Integrated Photonic Processor
Francesco Hoch, Taira Giordani, Luca Castello +9
Generation and manipulation of randomness is a relevant task for several applications of information technology. It has been shown that quantum mechanics offers some advantages for…
Variational approach to photonic quantum circuits via the parameter shift rule
Francesco Hoch, Giovanni Rodari, Taira Giordani +9
In the era of noisy intermediate-scale quantum computers, variational quantum algorithms are promising approaches for solving optimization tasks by training parameterized quantum c…
Demonstration of Hardware Efficient Photonic Variational Quantum Algorithm
Iris Agresti, Koushik Paul, Peter Schiansky +10
Quantum computing has brought a paradigm change in computer science, where non-classical technologies have promised to outperform their classical counterpart. Such an advantage was…
Experimental quantum-enhanced kernels on a photonic processor
Zhenghao Yin, Iris Agresti, Giovanni de Felice +9
Recently, machine learning had a remarkable impact, from scientific to everyday-life applications. However, complex tasks often imply unfeasible energy and computational power cons…