Ben Bartlett

Quantum Computer Scientist at Stanford

Research Expertise

Programmable Photonics
Photonic Computing
Quantum Information
Quantum Optics
Atomic and Molecular Physics, and Optics
Electrical and Electronic Engineering
Electronic, Optical and Magnetic Materials
Geophysics

About

Bartlett is a PhD student in applied physics at Stanford University. He also has a master's degree in electrical engineering from Stanford, and a bachelor's degree in physics and computer science from the California Institute of Technology. He has experience as an undergraduate researcher at the SLAC National Accelerator Laboratory and the European Organization for Nuclear Research.

Publications

Reprogrammable Electro-Optic Nonlinear Activation Functions for Optical Neural Networks

IEEE Journal of Selected Topics in Quantum Electronics / Jan 01, 2020

Williamson, I. A. D., Hughes, T. W., Minkov, M., Bartlett, B., Pai, S., & Fan, S. (2020). Reprogrammable Electro-Optic Nonlinear Activation Functions for Optical Neural Networks. IEEE Journal of Selected Topics in Quantum Electronics, 26(1), 1–12. https://doi.org/10.1109/jstqe.2019.2930455

Matrix Optimization on Universal Unitary Photonic Devices

Physical Review Applied / Jun 19, 2019

Pai, S., Bartlett, B., Solgaard, O., & Miller, D. A. B. (2019). Matrix Optimization on Universal Unitary Photonic Devices. Physical Review Applied, 11(6). https://doi.org/10.1103/physrevapplied.11.064044

Experimental realization of arbitrary activation functions for optical neural networks

Optics Express / Apr 08, 2020

Pour Fard, M. M., Williamson, I. A. D., Edwards, M., Liu, K., Pai, S., Bartlett, B., Minkov, M., Hughes, T. W., Fan, S., & Nguyen, T.-A. (2020). Experimental realization of arbitrary activation functions for optical neural networks. Optics Express, 28(8), 12138. https://doi.org/10.1364/oe.391473

Preprint repository arXiv achieves milestone million uploads

Physics Today / Jan 01, 2014

Preprint repository arXiv achieves milestone million uploads. (2014). Physics Today. https://doi.org/10.1063/pt.5.028530

Analysis of a Precambrian resonance-stabilized day length

Geophysical Research Letters / Jun 15, 2016

Bartlett, B. C., & Stevenson, D. J. (2016). Analysis of a Precambrian resonance-stabilized day length. Geophysical Research Letters, 43(11), 5716–5724. Portico. https://doi.org/10.1002/2016gl068912

Deterministic photonic quantum computation in a synthetic time dimension

Optica / Nov 29, 2021

Bartlett, B., Dutt, A., & Fan, S. (2021). Deterministic photonic quantum computation in a synthetic time dimension. Optica, 8(12), 1515. https://doi.org/10.1364/optica.424258

Universal programmable photonic architecture for quantum information processing

Physical Review A / Apr 20, 2020

Bartlett, B., & Fan, S. (2020). Universal programmable photonic architecture for quantum information processing. Physical Review A, 101(4). https://doi.org/10.1103/physreva.101.042319

Inference and Gradient Measurement for Backpropagation in Photonic Neural Networks

Conference on Lasers and Electro-Optics / Jan 01, 2022

Pai, S., Hughes, T. W., Park, T., Bartlett, B., Williamson, I., Minkov, M., Milanizadeh, M., Abebe, N., Morichetti, F., Melloni, A., Solgaard, O., Fan, S., & Miller, D. A. B. (2022). Inference and Gradient Measurement for Backpropagation in Photonic Neural Networks. Conference on Lasers and Electro-Optics. https://doi.org/10.1364/cleo_si.2022.sth5g.2

Worst-Case Model for Calculation of Lightning Electromagnetic Field

2018 International Symposium on Electromagnetic Compatibility (EMC EUROPE) / Aug 01, 2018

Arlou, Y. Y., Tsyanenka, D. A., Sinkevich, E. V., & Ma, X. (2018). Worst-Case Model for Calculation of Lightning Electromagnetic Field. 2018 International Symposium on Electromagnetic Compatibility (EMC EUROPE). https://doi.org/10.1109/emceurope.2018.8485075

Tunable Nonlinear Activation Functions for Optical Neural Networks

Conference on Lasers and Electro-Optics / Jan 01, 2020

Williamson, I. A. D., Hughes, T. W., Minkov, M., Bartlett, B., Pai, S., & Fan, S. (2020). Tunable Nonlinear Activation Functions for Optical Neural Networks. Conference on Lasers and Electro-Optics. https://doi.org/10.1364/cleo_si.2020.sm1e.2

Teleportation-Based Photonic Quantum Computing Using a Single Controllable Qubit

Conference on Lasers and Electro-Optics / Jan 01, 2021

Bartlett, B., Dutt, A., & Fan, S. (2021). Teleportation-Based Photonic Quantum Computing Using a Single Controllable Qubit. Conference on Lasers and Electro-Optics. https://doi.org/10.1364/cleo_qels.2021.fth2n.3

Photonic Quantum Programmable Gate Arrays

Conference on Lasers and Electro-Optics / Jan 01, 2020

Bartlett, B., & Fan, S. (2020). Photonic Quantum Programmable Gate Arrays. Conference on Lasers and Electro-Optics. https://doi.org/10.1364/cleo_at.2020.jm4g.8

The Compact Muon Solenoid and its physics

AIP Conference Proceedings / Jan 01, 1996

(1996). The Compact Muon Solenoid and its physics. AIP Conference Proceedings. https://doi.org/10.1063/1.49660

Education

Stanford University

PhD, Applied Physics

Stanford, California, United States of America

Stanford University

MS, Electrical Engineering

Stanford, California, United States of America

California Institute of Technology

BS, Physics, Computer Science

Pasadena, California, United States of America

Experience

Stanford University

PhD Student / 2017Present

AT&T Foundry

20172017

SLAC National Accelerator Laboratory

Undergraduate researcher / 20162016

European Organization for Nuclear Research

Undergraduate researcher / 20152016

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