Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Log inSign up
Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Blog
Job Board
Q3AS

© 2026 Aqora Quantum S.A.S.

TermsPrivacyLegal Notice

Optics Express

Micro-LED-based quantum random number generators

Heming Lin, Hang Lu, Matthew S. Wong, Abdullah S. Almogbel, A. Alyamani, Tien Khee Ng, Osman M. Bakr, Shuji Nakamura, Steven P. DenBaars, Boon Siew Ooi

Published May 5, 2025• 5 citations
Publisher

Abstract

Quantum random number generators (QRNGs) leverage the inherent unpredictability of quantum mechanical phenomena to produce random numbers. However, the performance of many QRNGs is hindered by limitations such as low generation rates and the bulkiness of systems utilizing single-photon detectors (SPDs). In this study, we present a QRNG that addresses these challenges by using a micro-LED as an entropy source, utilizing the intensity fluctuations of spontaneous emissions. By applying post-processing techniques, our 5 × 5 µm 2 micro-LED-based system achieves a PD bandwidth-limited generation rate of 9.375 Gbit/s while successfully passing the required randomness tests outlined by the National Institute of Standards and Technology (NIST). Importantly, systematic testing across micro-LEDs of varying sizes demonstrates consistently high performance, highlighting the robustness of this approach. The compact, small footprint, scalable design, and surface emission characteristics of micro-LEDs pave the way for the development of parallel QRNG-integrated chips, which hold the potential to deliver ultra-high random number generation rates in practical, miniaturized platforms.

DOI
10.1364/oe.559375

Related papers

Scalable high-speed quantum random number generation using micro-LED entropy sources

Boon S. Ooi

Quantum random number generators (QRNGs) harness the inherent unpredictability of quantum processes to generate true randomness, a critical resource for cryptography, secure communications, and emerging quantum technologies. In this paper, I will present a compact and scalable QRNG architecture based on micro-light-emitting diodes (micro-LEDs), which serve as entropy sources by exploiting the intensity fluctuations of spontaneous emission. Our system, using a micro-LED, achieves a bandwidth-limited generation rate of 9.375 Gbit/s, while meeting the statistical randomness requirements specified by the NIST test suite. Our work lays the foundation for parallel QRNG integration on chip, enabling ultra-high-rate quantum random number generation in miniaturized, energy-efficient, and practical platforms. The implications of this advancement span from secure data and hardward to next-generation cryptographic systems.

Gallium Nitride Materials and Devices•Mar 5, 2026•0 citations

High-Speed and Scalable Quantum Random Number Generation Using InGaN Micro-LEDs

Fu‐He Hsiao, Yun-Han Chang, Hung Chou +6 more

This paper presents a high-speed and scalable quantum random number generator (QRNG) based on InGaN micro-LED arrays. While traditional QRNG systems face limitations in data rate and integration complexity, our approach leverages the intrinsic quantum randomness of spontaneous emission from micro-LEDs to achieve superior performance. We successfully demonstrated a generation rate of 12.5 Gb/s with a single blue and green micro-LED, as well as with a 2×4 yellow micro-LED array. The randomness of the generated bit streams was validated by the NIST SP800-22 statistical test suite under the assumed trusted-device model, confirming their high quality and cryptographic suitability. The use of a multi-channel array further proves the scalability of our method, highlighting its potential for seamlessly boosting generation rates. In particular, this work demonstrates the potential of micro-LED-based QRNGs toward compact and high-performance implementations, paving the way for on-chip integration into future cryptographic and communication applications.

IEEE photonics journal•Feb 24, 2026•0 citations

Quantum random number generator based on LED

Mohammadreza Moeini, Mohsen Akbari, M Mohammad Mirsadeghi +4 more

Quantum random number generators (QRNGs) produce random numbers based on the intrinsic probabilistic nature of quantum mechanics, making them true random number generators. In this paper, we design and fabricate an embedded QRNG that produces random numbers based on fluctuations of spontaneous emission and absorption in a light-emitting diode. To achieve a robust and reliable QRNG, we compare some usual post-processing methods and select the finite impulse response method for a real-time device. This device could pass the National Institute of Standards and Technology tests, the generation rate is 1 Mbit/s, and the randomness of the output data is invariant in time.

arXiv:2305.16101•Journal of Applied Physics•Feb 27, 2024•13 citations

A robust approach to the generation of high-quality random numbers

Zahra Bisadi, Giorgio Fontana, Enrico Moser +2 more

A random number generation approach comprising a silicon nanocrystals LED (Si-NCs LED), silicon single photon avalanche photodiode (Si SPAD) and a field-programmable gate array (FPGA) is introduced. The Si-NCs LED is the source of entropy with photon emission in the visible range detectable by silicon detectors allowing the fabrication of an all-silicon-based device. The proposed quantum random number generator (QRNG) is robust against variations of the internal and external parameters such as aging of the components, changing temperature, the ambient interferences and the silicon detector artifacts. The raw data show high quality of randomness and passed all the statistical tests in National Institute of Standards and Technology (NIST) tests suite without the application of a post-processing algorithm. The efficiency of random number generation is 4-bits per detected photon.

Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE•Oct 24, 2016•1 citation

Quantum-resilient optical links using micro-LEDs generated quantum random numbers and physical unclonable functions

Tien Khee Ng, Heming Lin, Wenqing Niu +5 more

Abstract Secure communication in Internet-of-Things (IoT) systems typically rely on separate hardware elements for key generation, device authentication, and data transmission, complicating scalable integration. Here we demonstrate that micro-LEDs can integrate all three capabilities, reducing energy and footprint overheads and avoiding exposure to additional attack surfaces. Notably, fabrication-induced structural variations can generate stable, device-unique near-field emission patterns that serve as optoelectronic physical unclonable functions (PUFs), while spontaneous-emission noise can provide a quantum-origin entropy source for quantum random number generators (QRNGs). Through min-entropy evaluation and post-processing, a single micro-LED delivers a stable QRNG throughput of 13.25 Gb/s. Using a deep-neural-network-assisted extractor, each device yields reproducible 256-bit keys, with intra- and inter-device Hamming distances separated by more than an order of magnitude. Integrated into a post-quantum cryptographic framework, the micro-LED functions as a self-contained secure transmitter, enabling authenticated and encrypted free-space optical wireless communication at 1.97 Gb/s. In principle, the security mechanisms are wavelength-independent and extendable across material platforms. Together, these results establish a quantum-resilient photonic node that consolidates transmission, identity, and randomness at the edge device level, providing a scalable hardware building block for secure, low-power connectivity in future IoT networks.

•Mar 4, 2026•0 citations

Compact Quantum Random Number Generator with Silicon Nanocrystals Light Emitting Device Coupled to a Silicon Photomultiplier

Zahra Bisadi, Fabio Acerbi, Giorgio Fontana +4 more

A small-sized photonic quantum random number generator, easy to be implemented in small electronic devices for secure data encryption and other applications, is highly demanding nowadays. Here, we propose a compact configuration with Silicon nanocrystals large area light emitting device (LED) coupled to a Silicon photomultiplier to generate random numbers. The random number generation methodology is based on the photon arrival time and is robust against the non-idealities of the detector and the source of quantum entropy. The raw data show high quality of randomness and pass all the statistical tests in national institute of standards and technology tests (NIST) suite without a post-processing algorithm. The highest bit rate is 0.5 Mbps with the efficiency of 4 bits per detected photon.

Frontiers in Physics•Feb 14, 2018•14 citations
Quantum random number generators (QRNGs) leverage the inherent unpredictability of quantum mechanical phenomena to produce random numbers. However, the performance of many QRNGs is hindered by limitations such as low generation rates and the bulkiness of systems utilizing single-photon detectors (SPDs). In this study, we present a QRNG that addresses these challenges by using a micro-LED as an entropy source, utilizing the intensity fluctuations of spontaneous emissions. By applying post-processing techniques, our 5 × 5 µm 2 micro-LED-based system achieves a PD bandwidth-limited generation rate of 9.375 Gbit/s while successfully passing the required randomness tests outlined by the National Institute of Standards and Technology (NIST). Importantly, systematic testing across micro-LEDs of varying sizes demonstrates consistently high performance, highlighting the robustness of this approach. The compact, small footprint, scalable design, and surface emission characteristics of micro-LEDs pave the way for the development of parallel QRNG-integrated chips, which hold the potential to deliver ultra-high random number generation rates in practical, miniaturized platforms.
Quantum random number generators (QRNGs) harness the inherent unpredictability of quantum processes to generate true randomness, a critical resource for cryptography, secure communications, and emerging quantum technologies. In this paper, I will present a compact and scalable QRNG architecture based on micro-light-emitting diodes (micro-LEDs), which serve as entropy sources by exploiting the intensity fluctuations of spontaneous emission. Our system, using a micro-LED, achieves a bandwidth-limited generation rate of 9.375 Gbit/s, while meeting the statistical randomness requirements specified by the NIST test suite. Our work lays the foundation for parallel QRNG integration on chip, enabling ultra-high-rate quantum random number generation in miniaturized, energy-efficient, and practical platforms. The implications of this advancement span from secure data and hardward to next-generation cryptographic systems.
This paper presents a high-speed and scalable quantum random number generator (QRNG) based on InGaN micro-LED arrays. While traditional QRNG systems face limitations in data rate and integration complexity, our approach leverages the intrinsic quantum randomness of spontaneous emission from micro-LEDs to achieve superior performance. We successfully demonstrated a generation rate of 12.5 Gb/s with a single blue and green micro-LED, as well as with a 2×4 yellow micro-LED array. The randomness of the generated bit streams was validated by the NIST SP800-22 statistical test suite under the assumed trusted-device model, confirming their high quality and cryptographic suitability. The use of a multi-channel array further proves the scalability of our method, highlighting its potential for seamlessly boosting generation rates. In particular, this work demonstrates the potential of micro-LED-based QRNGs toward compact and high-performance implementations, paving the way for on-chip integration into future cryptographic and communication applications.
Quantum random number generators (QRNGs) produce random numbers based on the intrinsic probabilistic nature of quantum mechanics, making them true random number generators. In this paper, we design and fabricate an embedded QRNG that produces random numbers based on fluctuations of spontaneous emission and absorption in a light-emitting diode. To achieve a robust and reliable QRNG, we compare some usual post-processing methods and select the finite impulse response method for a real-time device. This device could pass the National Institute of Standards and Technology tests, the generation rate is 1 Mbit/s, and the randomness of the output data is invariant in time.
A random number generation approach comprising a silicon nanocrystals LED (Si-NCs LED), silicon single photon avalanche photodiode (Si SPAD) and a field-programmable gate array (FPGA) is introduced. The Si-NCs LED is the source of entropy with photon emission in the visible range detectable by silicon detectors allowing the fabrication of an all-silicon-based device. The proposed quantum random number generator (QRNG) is robust against variations of the internal and external parameters such as aging of the components, changing temperature, the ambient interferences and the silicon detector artifacts. The raw data show high quality of randomness and passed all the statistical tests in National Institute of Standards and Technology (NIST) tests suite without the application of a post-processing algorithm. The efficiency of random number generation is 4-bits per detected photon.
Abstract Secure communication in Internet-of-Things (IoT) systems typically rely on separate hardware elements for key generation, device authentication, and data transmission, complicating scalable integration. Here we demonstrate that micro-LEDs can integrate all three capabilities, reducing energy and footprint overheads and avoiding exposure to additional attack surfaces. Notably, fabrication-induced structural variations can generate stable, device-unique near-field emission patterns that serve as optoelectronic physical unclonable functions (PUFs), while spontaneous-emission noise can provide a quantum-origin entropy source for quantum random number generators (QRNGs). Through min-entropy evaluation and post-processing, a single micro-LED delivers a stable QRNG throughput of 13.25 Gb/s. Using a deep-neural-network-assisted extractor, each device yields reproducible 256-bit keys, with intra- and inter-device Hamming distances separated by more than an order of magnitude. Integrated into a post-quantum cryptographic framework, the micro-LED functions as a self-contained secure transmitter, enabling authenticated and encrypted free-space optical wireless communication at 1.97 Gb/s. In principle, the security mechanisms are wavelength-independent and extendable across material platforms. Together, these results establish a quantum-resilient photonic node that consolidates transmission, identity, and randomness at the edge device level, providing a scalable hardware building block for secure, low-power connectivity in future IoT networks.
A small-sized photonic quantum random number generator, easy to be implemented in small electronic devices for secure data encryption and other applications, is highly demanding nowadays. Here, we propose a compact configuration with Silicon nanocrystals large area light emitting device (LED) coupled to a Silicon photomultiplier to generate random numbers. The random number generation methodology is based on the photon arrival time and is robust against the non-idealities of the detector and the source of quantum entropy. The raw data show high quality of randomness and pass all the statistical tests in national institute of standards and technology tests (NIST) suite without a post-processing algorithm. The highest bit rate is 0.5 Mbps with the efficiency of 4 bits per detected photon.