PI: Bo-Han Wu

PI: Bo-Han Wu

He/Him/His

I am a photonic quantum information scientist leveraging machine learning to advance quantum optics and networking.

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A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.

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Finding the Answer to My Life

7 minute read

Published:

I am a Christian and a member of the True Jesus Church. This is the story of how God found me, healed me, and gave my life a meaning that I had searched for since childhood.

portfolio

publications

High Conversion Efficiency in Resonant Four-Wave Mixing Processes

Published in Optics Express, 2016

This work demonstrates a scheme for resonant four-wave mixing that achieves up to 90% energy conversion efficiency using spatially varied control fields.

Recommended citation: Chin-Yuan Lee, Bo-Han Wu, Gang Wang, Yong-Fang Chen, Ying-Cheng Chen, and Ite A. Yu. (2016). Optics Express. 24(2), 1008-1016.
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Quantum Computing with Multidimensional Continuous-Variable Cluster States in a Scalable Photonic Platform

Published in Physical Review Research, 2020

This paper proposes a scalable scheme for generating multidimensional continuous-variable (CV) cluster states using a single optical parametric oscillator and time-frequency multiplexing, providing a path toward fault-tolerant quantum computation.

Recommended citation: Bo-Han Wu, Rafael N. Alexander, Shuai Liu, and Zheshen Zhang. (2020). Physical Review Research. 2(2), 023138.
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Continuous-Variable Quantum Repeaters Based on Bosonic Error-Correction and Teleportation: Architecture and Applications

Published in Quantum Science and Technology, 2021

We report a continuous-variable (CV) quantum-repeater architecture based on CV quantum teleportation assisted by the Gottesman-Kitaev-Preskill (GKP) code to significantly suppress physical noise in quantum links.

Recommended citation: Bo-Han Wu, Zheshen Zhang, and Quntao Zhuang. (2022). Quantum Science and Technology. 7(2), 025018.
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Micro-Ring Perceptron Sensor for High-Speed, Low-Power Radio-Frequency Signal

Published in arXiv:2504.16119, 2025

This paper introduces the micro-ring perceptron (MiRP) sensor, a physics-inspired AI framework that integrates micro-ring dynamics-based analog processing with a machine-learning-driven digital backend for sub-Nyquist RF sensing.

Recommended citation: Bo-Han Wu, Shi-Yuan Ma, Sri Krishna Vadlamani, Hyeongrak Choi, Dirk Englund. (2025). arXiv preprint arXiv:2504.16119.
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Wafer-Scale Squeezed-Light Chips

Published in arXiv:2509.10445, 2025

We report the wafer-scale fabrication, generation, and characterization of two-mode squeezed-vacuum states on a fully CMOS-compatible silicon nitride PIC platform. This work demonstrates excellent uniformity across a 4-inch wafer and establishes a reproducible route for scalable continuous-variable quantum information processing.

Recommended citation: Shuai Liu, Kailu Zhou, Yuheng Zhang, Abdulkarim Hariri, Nicholas Reynolds, Bo-Han Wu, Zheshen Zhang. (2025). arXiv preprint arXiv:2509.10445.
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Bidirectional Nonlinear Optical Tomography: Unbiased Characterization of Off- and On-Chip Coupling Efficiencies

Published in arXiv:2510.13110, 2025

We present bidirectional nonlinear optical tomography (BNOT), a hardware-compatible metrology that breaks the degeneracy of input and output coupling efficiencies to enable unbiased benchmarking of nonlinear photonic integrated circuits.

Recommended citation: Bo-Han Wu, Mahmoud Jalali Mehrabad, Dirk Englund. (2025). arXiv preprint arXiv:2510.13110.
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