Integrated Differential Conjugate Homodyne Detection for Quantum Random Number Generation
Christian Carver, Jared Marchant, Benjamin Fisher, Nicholas Townsend,, Tyler Stowell, Austin Barlow, Benjamin Arnesen, Shiuh-Hua Wood Chiang, Ryan, M. Camacho

TL;DR
This paper presents an on-chip quantum random number generator using a novel differential conjugate homodyne detection method with integrated photonics and circuits, achieving high noise clearance and validated by standard randomness tests.
Contribution
It introduces a new differential amplifier configuration for conjugate homodyne detection in QRNG, combining integrated photonics and analog circuits for improved performance.
Findings
Achieved 25.6 dB shot noise clearance
Realized 69 dB common mode rejection ratio
Validated randomness with NIST tests
Abstract
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 , 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{\deg} optical hybrid, a dual differential transimpedance amplifier (TIA), and a field-programmable gate…
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Taxonomy
TopicsNeural Networks and Applications · Quantum Computing Algorithms and Architecture · Chaos-based Image/Signal Encryption
