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

Quantum random number generation with uncharacterised homodyne detection

Chao Wang, Ignatius William Primaatmaja, Hong Jie Ng, Jing Yan Haw, Raymond Ho, Jianran Zhang, Gong Zhang, Charles Ci Wen Lim

Published Jan 1, 2023• 0 citations
Publisher

Abstract

We propose, design and experimentally demonstrate a quantum random number generator (QRNG) that completely removes the calibration requ0irement for the measurement device. The QRNG features a simple implementation and readily implementable on integrated photonic platforms.
DOI
10.1364/cleo_at.2023.jth2a.20

Related papers

Provably-secure quantum randomness expansion with uncharacterised homodyne detection

Chao Wang, Ignatius William Primaatmaja, Hong Jie Ng +5 more

Abstract Quantum random number generators (QRNGs) are able to generate numbers that are certifiably random, even to an agent who holds some side information. Such systems typically require that the elements being used are precisely calibrated and validly certified for a credible security analysis. However, this can be experimentally challenging and result in potential side-channels which could compromise the security of the QRNG. In this work, we propose, design and experimentally demonstrate a QRNG protocol that completely removes the calibration requirement for the measurement device. Moreover, our protocol is secure against quantum side information. We also take into account the finite-size effects and remove the independent and identically distributed requirement for the measurement side. More importantly, our QRNG scheme features a simple implementation which uses only standard optical components and are readily implementable on integrated-photonic platforms. To validate the feasibility and practicability of the protocol, we set up a fibre-optical experimental system with a home-made homodyne detector with an effective efficiency of 91.7% at 1550 nm. The system works at a rate of 2.5 MHz, and obtains a net randomness expansion rate of 4.98 kbits/s at 1010 rounds. Our results pave the way for an integrated QRNG with self-testing feature and provable security.

arXiv:2206.03660•Nature Communications•Jan 19, 2023•33 citations

Self-Testing Quantum Randomness Expansion on an Integrated Photonic Chip

Gong Zhang, Ignatius William Primaatmaja, Yue Chen +7 more

The power of quantum random number generation is more than just the ability to create truly random numbers—it can also enable , which allows the user to verify the implementation integrity of critical quantum components with minimal assumptions. In this work, we develop and implement a self-testing quantum random number generator (QRNG) chipset capable of generating 15.33 Mbits of certifiable randomness in each run, producing an expansion rate of 5.11 × 10 − 4 at a repetition rate of 10 MHz, with quantum side information considered for a high level of security. The chip design is based on a highly loss-and-noise-tolerant measurement-device-independent protocol, where random coherent states encoded using quadrature phase shift keying are used to self-test the integrated homodyne detectors—well-known to be challenging to characterize in practice. Importantly, this proposal opens up the possibility of implementing miniaturized self-testing QRNG devices at production scale using standard silicon photonics foundry platforms.

arXiv:2411.13712•PRX Quantum•Apr 21, 2026•1 citation

Differential Homodyne Detection Using An Integrated Photonics Chip

Christian Carver, Benjamin Fisher, Jared Marchant +2 more

We present a homodyne detection system that uses a novel differential amplification scheme with potential applications for quantum key distribution (QKD), quantum random number generation (QRNG) or quantum state tomography.

•Jan 1, 2024•0 citations

An on-chip homodyne detector for generating random numbers

Dylan H. Mahler, Francesco Raffaelli, Giacomo Ferranti +7 more

Summary form only given. The homodyne detector is a primitive element in many quantum optics experiments. It is primarily a characterization device, used for measuring the quantum state of the electromagnetic field[1]. Quantum integrated photonics[2], in which optical sources, circuits, and detectors are monolithically integrated on a semiconductor chip, provides a compact, scalable, platform in which to implement quantum devices like the homodyne detector. Here, we present a homodyne detector integrated in silicon and use it to generate quantum random numbers.

Conference on Lasers and Electro-Optics Europe & European Quantum Electronics Conference (CLEO/Europe-EQEC)•Jun 1, 2017•0 citations

Integrated Differential Conjugate Homodyne Detection for Quantum Random Number Generation

Christian Carver, Marchant, Jared, Fisher, Benjamin +6 more

In this work, we perform on-chip quantum random number generation (QRNG) that uses a novel differential amplifier configuration for conjugate homodyne detection. Leveraging separate integrated photonics and integrated analog circuit platforms, we present an alternative method for QRNG. This approach exploits the observable $\hat{\text{Z}}$, derived from the sum of squared conjugate quadrature distributions which we compare to the traditional single quadrature approach. Utilizing this method, we report a shot noise clearance (SNC) of 25.6 dB and a common mode rejection ratio (CMRR) of 69 dB for our homodyne detection system. We used a variety of design tools to model and predict performance and compare results with our measurements. The realization of our QRNG system consists of a 90° optical hybrid, a dual differential transimpedance amplifier (TIA), and a field-programmable gate array (FPGA) used for the real-time post-processing to produce a uniform random bitstream. The randomness extraction is implemented using a Toeplitz hashing algorithm and is validated by the National Institute of Standards and Technology (NIST) randomness test suites.

arXiv:2412.02077•Dec 3, 2024•0 citations

Loss-tolerant measurement-device-independent quantum random number generation

Zhu Cao, Hongyi Zhou, Xiongfeng Ma

Quantum random number generators (QRNGs) output genuine random numbers based upon the uncertainty principle. A QRNG contains two parts in general—a randomness source and a readout detector. How to remove detector imperfections has been one of the most important questions in practical randomness generation. We propose a simple solution, measurement-device-independent QRNG, which not only removes all detector side channels but is robust against losses. In contrast to previous fully device-independent QRNGs, our scheme does not require high detector efficiency or nonlocality tests. Simulations show that our protocol can be implemented efficiently with a practical coherent state laser and other standard optical components. The security analysis of our QRNG consists mainly of two parts: measurement tomography and randomness quantification, where several new techniques are developed to characterize the randomness associated with a positive-operator valued measure.

arXiv:1510.08960•New Journal of Physics•Dec 17, 2015•98 citations
Abstract Quantum random number generators (QRNGs) are able to generate numbers that are certifiably random, even to an agent who holds some side information. Such systems typically require that the elements being used are precisely calibrated and validly certified for a credible security analysis. However, this can be experimentally challenging and result in potential side-channels which could compromise the security of the QRNG. In this work, we propose, design and experimentally demonstrate a QRNG protocol that completely removes the calibration requirement for the measurement device. Moreover, our protocol is secure against quantum side information. We also take into account the finite-size effects and remove the independent and identically distributed requirement for the measurement side. More importantly, our QRNG scheme features a simple implementation which uses only standard optical components and are readily implementable on integrated-photonic platforms. To validate the feasibility and practicability of the protocol, we set up a fibre-optical experimental system with a home-made homodyne detector with an effective efficiency of 91.7% at 1550 nm. The system works at a rate of 2.5 MHz, and obtains a net randomness expansion rate of 4.98 kbits/s at 1010 rounds. Our results pave the way for an integrated QRNG with self-testing feature and provable security.
The power of quantum random number generation is more than just the ability to create truly random numbers—it can also enable , which allows the user to verify the implementation integrity of critical quantum components with minimal assumptions. In this work, we develop and implement a self-testing quantum random number generator (QRNG) chipset capable of generating 15.33 Mbits of certifiable randomness in each run, producing an expansion rate of 5.11 × 10 − 4 at a repetition rate of 10 MHz, with quantum side information considered for a high level of security. The chip design is based on a highly loss-and-noise-tolerant measurement-device-independent protocol, where random coherent states encoded using quadrature phase shift keying are used to self-test the integrated homodyne detectors—well-known to be challenging to characterize in practice. Importantly, this proposal opens up the possibility of implementing miniaturized self-testing QRNG devices at production scale using standard silicon photonics foundry platforms.
Summary form only given. The homodyne detector is a primitive element in many quantum optics experiments. It is primarily a characterization device, used for measuring the quantum state of the electromagnetic field[1]. Quantum integrated photonics[2], in which optical sources, circuits, and detectors are monolithically integrated on a semiconductor chip, provides a compact, scalable, platform in which to implement quantum devices like the homodyne detector. Here, we present a homodyne detector integrated in silicon and use it to generate quantum random numbers.
In this work, we perform on-chip quantum random number generation (QRNG) that uses a novel differential amplifier configuration for conjugate homodyne detection. Leveraging separate integrated photonics and integrated analog circuit platforms, we present an alternative method for QRNG. This approach exploits the observable Z^\hat{\text{Z}}Z^, derived from the sum of squared conjugate quadrature distributions which we compare to the traditional single quadrature approach. Utilizing this method, we report a shot noise clearance (SNC) of 25.6 dB and a common mode rejection ratio (CMRR) of 69 dB for our homodyne detection system. We used a variety of design tools to model and predict performance and compare results with our measurements. The realization of our QRNG system consists of a 90° optical hybrid, a dual differential transimpedance amplifier (TIA), and a field-programmable gate array (FPGA) used for the real-time post-processing to produce a uniform random bitstream. The randomness extraction is implemented using a Toeplitz hashing algorithm and is validated by the National Institute of Standards and Technology (NIST) randomness test suites.
Quantum random number generators (QRNGs) output genuine random numbers based upon the uncertainty principle. A QRNG contains two parts in general—a randomness source and a readout detector. How to remove detector imperfections has been one of the most important questions in practical randomness generation. We propose a simple solution, measurement-device-independent QRNG, which not only removes all detector side channels but is robust against losses. In contrast to previous fully device-independent QRNGs, our scheme does not require high detector efficiency or nonlocality tests. Simulations show that our protocol can be implemented efficiently with a practical coherent state laser and other standard optical components. The security analysis of our QRNG consists mainly of two parts: measurement tomography and randomness quantification, where several new techniques are developed to characterize the randomness associated with a positive-operator valued measure.