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Experimental demonstration of quantum-to-quantum Bernoulli factory

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Abstract

A Bernoulli factory is a model of randomness processing. Recently, the quantum generalization of a Bernoulli factory with a quantum input and classical output offers a clear advantage over classical means in simulating classical randomness. A more “quantum” version of a Bernoulli factory with a quantum input and quantum output has been proposed and shows applications in simulating quantum randomness using quantum resources, the so-called quantum-to-quantum Bernoulli factory, which simulates probability amplitudes rather than probability. In this paper, we report an experimental implementation of a quantum-to-quantum Bernoulli factory with linear optics. We implement three elements of a quantum-to-quantum Bernoulli factory, including inversion, multiplication, and addition, and demonstrate how to compare quantum states via a quantum-to-quantum Bernoulli factory. Our results provide a thorough understanding of the Bernoulli factory problem in the quantum world and will stimulate the quantum advantages in simulating a wider range of classically infeasible random processes.

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... Furthermore, any experimental scheme should aim at the possibility of concatenating different operations in a modular fashion without knowledge of the output state from the prior step. All the previous attempts to experimentally implement QQBFs [30,31] were unable to simultaneously enforce these conditions. Once all the features of the QQBF are verified, the quantum input and output enable its use as a subroutine in quantum algorithms. ...
... When one photon is found in the detector labelled as S, and the other photon is in output modes |0⟩o or |1⟩o, the output state is the sum of the input ones (up to a global phase). [30,31] were limited, as they substantially relied on prior knowledge of the input state (see Supplementary Note 1). This is in stark contrast to the fundamental requirement for a correct implementation of the protocol, i.e. full ignorance of the input state. ...
... After the definition of the building blocks for the presented scheme, we now discuss the possibility of concatenating the field operations. This is an important characteristic feature of our approach, and fundamentally different from previous realizations [30,31]. Our modular scheme allows for a sequential application of the operations. ...
Preprint
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.
... To demonstrate the feasibility of a generic QQBF using integrated photonics, we will explicitly construct an appropriate scheme to implement the field operations with photons. Previous attempts to experimentally implement the field operations 30,31 were limited, as they substantially relied on prior knowledge of the input state (Supplementary Note 1). This is in stark contrast to the fundamental requirement for a correct implementation of the protocol, that is, full ignorance of the input state. ...
... After the definition of the building blocks for the presented scheme, we now discuss the possibility of concatenating the field operations. This is an important characteristic feature of our approach, and fundamentally different from previous realizations 30,31 . Our modular scheme allows for a sequential application of the operations. ...
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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 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 the input and output, using a photonic-path-encoding approach. Our scheme is modular and 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, thereby demonstrating the viability of our approach. These results open new paths for randomness manipulation with integrated quantum technologies.
... However, the proposed works of the QBF mainly analyze the advantages that can be obtained by utilizing quantum coherence. Meanwhile, previous efforts only focused on specific cases such as the QBF for the Bernoulli doubling function, or analyzed the range of constructible quantum states in single-qubit cases, while the multi-qubit cases were not sufficiently studied [27,28]. ...
... Our setup employs entangled photons for quantum operations. Recently, a similar experiment was proposed which applied single photons for the realizations of the operations [28]. Compared with our non-unitary realization which directly completes the add operation, they implemented a unitary operation slightly different from the original one from reference [27], and required one more step to complete the add operation. ...
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