Ben Bartlett
Quantum Computer Scientist at Stanford
Research Interests
About
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
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 University
MS, Electrical Engineering
California Institute of Technology
BS, Physics, Computer Science
Experience
Stanford University
PhD Student / 2017 — Present
AT&T Foundry
2017 — 2017
SLAC National Accelerator Laboratory
Undergraduate researcher / 2016 — 2016
European Organization for Nuclear Research
Undergraduate researcher / 2015 — 2016
Join Ben on NotedSource!
Join Now
At NotedSource, we believe that professors, post-docs, scientists and other researchers have deep, untapped knowledge and expertise that can be leveraged to drive innovation within companies. NotedSource is committed to bridging the gap between academia and industry by providing a platform for collaboration with industry and networking with other researchers.
For industry, NotedSource identifies the right academic experts in 24 hours to help organizations build and grow. With a platform of thousands of knowledgeable PhDs, scientists, and industry experts, NotedSource makes connecting and collaborating easy.
For academic researchers such as professors, post-docs, and Ph.D.s, NotedSource provides tools to discover and connect to your colleagues with messaging and news feeds, in addition to the opportunity to be paid for your collaboration with vetted partners.
Expert Institutions
Proudly trusted by
