Modular Quantum-to-Quantum Bernoulli Factory in an Integrated Photonic Processor

• URL: http://arxiv.org/abs/2410.06204v1
• Date: Tue, 8 Oct 2024 17:06:25 GMT
• Title: Modular Quantum-to-Quantum Bernoulli Factory in an Integrated Photonic Processor
• Authors: Francesco Hoch, Taira Giordani, Luca Castello, Gonzalo Carvacho, Nicolò Spagnolo, Francesco Ceccarelli, Ciro Pentangelo, Simone Piacentini, Andrea Crespi, Roberto Osellame, Ernesto F. Galvão, Fabio Sciarrino,
• Abstract summary: quantum mechanics offers some advantages for generation and manipulation of randomness. Bernoulli factories are protocols capable of changing the bias of Bernoulli random processes in a controlled way. Recent extensions of this model to the quantum case showed the possibility of implementing a wider class of randomness manipulation functions. We propose a Bernoulli factory scheme with quantum states as input and output, using a photonic path-encoding approach.
• Score: 0.0
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: 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 this type of task. A promising model for randomness manipulation is provided by the Bernoulli factories, protocols capable of changing the bias of Bernoulli random processes in a controlled way. At first, this framework was proposed and investigated in a fully classical regime. Recent extensions of this model to the quantum case showed the possibility of implementing a wider class of randomness manipulation functions. We propose a Bernoulli factory scheme with quantum states as input and output, using a photonic path-encoding approach. Our scheme is modular, universal, and its functioning is truly oblivious of the input bias, characteristics that were missing in earlier work. We report on experimental implementations using an integrated and fully programmable photonic platform, thus demonstrating the viability of our approach. These results open new paths for randomness manipulation with integrated quantum technologies.

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