Self-testing quantum random-number generator based on an energy bound

Rusca, Davide; Himbeeck, Thomas van; Martin, Anthony; Brask, Jonatan Bohr; Shi, Wujie; Pironio, Stefano; Brunner, Nicolás; Zbinden, Hugo

doi:10.1103/physreva.100.062338

Cited by 43 publications

(38 citation statements)

References 26 publications

(39 reference statements)

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“…In an attempt to retain the randomness certification capabilities of DI-RNGs with less stringent experimental requirements, many semi-device-independent random number generators (SDI-RNGs) have been proposed [27][28][29][30][31][32][33][34][35][36][37][38][39] . Similar to DI-RNGs, SDI-RNGs include test rounds that are designed to certify the randomness of their output.…”

Section: Introductionmentioning

confidence: 99%

Semi-device-independent random number generation with flexible assumptions

et al. 2021

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Our ability to trust that a random number is truly random is essential for fields as diverse as cryptography and fundamental tests of quantum mechanics. Existing solutions both come with drawbacks—device-independent quantum random number generators (QRNGs) are highly impractical and standard semi-device-independent QRNGs are limited to a specific physical implementation and level of trust. Here we propose a framework for semi-device-independent randomness certification, using a source of trusted vacuum in the form of a signal shutter. It employs a flexible set of assumptions and levels of trust, allowing it to be applied in a wide range of physical scenarios involving both quantum and classical entropy sources. We experimentally demonstrate our protocol with a photonic setup and generate secure random bits under three different assumptions with varying degrees of security and resulting data rates.

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Section: Introductionmentioning

confidence: 99%

Semi-device-independent random number generation with flexible assumptions

et al. 2021

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“…However, this approach is quite demanding and typically results in very low random bit rates (see, e.g., [65]). A solution is to consider semi-DI scenarios [66][67][68][69][70][71], where partial knowledge of the implementation is assumed. In our scheme, we assume that we control the source of quantum states but do not assume anything about the measurements we perform, a situation called measurement-DI (MDI) RNG [72].…”

Section: Introductionmentioning

confidence: 99%

Multi-core fiber integrated multi-port beam splitters for quantum information processing

Cariñe

Cañas

Skrzypczyk

et al. 2020

Optica

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Multi-port beam splitters are cornerstone devices for high-dimensional quantum information tasks, which can outperform the two-dimensional ones. Nonetheless, the fabrication of such devices has proven to be challenging with progress only recently achieved with the advent of integrated photonics. Here, we report on the production of highquality N × N (with N = 4, 7) multi-port beam splitters based on a new scheme for manipulating multi-core optical fibers. By exploring their compatibility with optical fiber components, we create four-dimensional quantum systems and implement the measurement-device-independent random number generation task with a programmable four-arm interferometer operating at a 2 MHz repetition rate. Due to the high visibilities observed, we surpass the one-bit limit of binary protocols and attain 1.23 bits of certified private randomness per experimental round. Our result demonstrates that fast switching, low loss, and high optical quality for high-dimensional quantum information can be simultaneously achieved with multi-core fiber technology.

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“…[9][10][11][12][13] Semi-self-testing QRNGs lies somewhere in between, which have certain assumptions of device implementations while have high randomness generation speed in the meantime. [14][15][16][17][18][19][20][21] We refer to ref. 22 for a detailed review of the developments of different types of QRNGs.…”

Section: Introductionmentioning

confidence: 99%

“…Recently, several semi-self-testing QRNG schemes have been proposed. [14][15][16][17][18][19][20][21] By assuming the underlying dimension and the independence of the source and the measurement, a QRNG scheme 14 has been proposed such that the output randomness can be self-tested. While, as the randomness is certified by the input and output statistics, the random number generation rate is only about 23 bps.…”

Section: Introductionmentioning

confidence: 99%

“…The generation rate was further improved to the order of MHz with input and output statistics and weaker assumptions. 18,19 Later, with trusted measurement but uncharacterized randomness source, a source-independent (SI) QRNG scheme is proposed, 15 where the randomness generation speed is analyzed to be comparable to practical QRNGs that has characterized devices. Conventionally, QRNGs make use of special light sources, such as lasers, and specific physical model to characterize the randomness source.…”

Section: Introductionmentioning

confidence: 99%

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Quantum random number generation with uncharacterized laser and sunlight

Han

Cao

et al. 2019

npj Quantum Inf

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The entropy or randomness source is an essential ingredient in random number generation. Quantum random number generators generally require well modeled and calibrated light sources, such as a laser, to generate randomness. With uncharacterized light sources, such as sunlight or an uncharacterized laser, genuine randomness is practically hard to be quantified or extracted owing to its unknown or complicated structure. By exploiting a recently proposed source-independent randomness generation protocol, we theoretically modify it by considering practical issues and experimentally realize the modified scheme with an uncharacterized laser and a sunlight source. The extracted randomness is guaranteed to be secure independent of its source and the randomness generation speed reaches 1 Mbps, three orders of magnitude higher than the original realization. Our result signifies the power of quantum technology in randomness generation and paves the way to high-speed semi-self-testing quantum random number generators with practical light sources.

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Self-testing quantum random-number generator based on an energy bound

Cited by 43 publications

References 26 publications

Semi-device-independent random number generation with flexible assumptions

Semi-device-independent random number generation with flexible assumptions

Multi-core fiber integrated multi-port beam splitters for quantum information processing

Quantum random number generation with uncharacterized laser and sunlight

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