Dirk R. Englund

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 32

Top Topics

Reinforcement Learning

Efficient Inference

Top Venues

Publications

Jinchen Wang, Isaac B. Harris, Xibi Chen, Dirk R. Englund, Ruonan Han
A CMOS-Integrated Color Center Pulse-Sequence Control and Detection System. CICC (2024)
Linsen Li, Pratyush Anand, Kaiming He, Dirk R. Englund
Dynamic Inhomogeneous Quantum Resource Scheduling with Reinforcement Learning. CoRR (2024)
Álvaro G. Iñesta, Hyeongrak Choi, Dirk R. Englund, Stephanie Wehner
Quantum Circuit Switching with One-Way Repeaters in Star Networks. CoRR (2024)
Shaoyuan Ou, Alexander Sludds, Ryan Hamerly, Ke Zhang, Hanke Feng, Eric Zhong, Cheng Wang, Dirk R. Englund, Mengjie Yu, Zaijun Chen
Hypermultiplexed Integrated Tensor Optical Processor. CoRR (2024)
Hyeongrak Choi, Marc Grau Davis, Álvaro G. Iñesta, Dirk R. Englund
Quantum Networks: Exploring Scalability, Topology, and Error Correction. OFC (2024)
Eric Bersin, Matthew Grein, Madison Sutula, Ryan Murphy, Yan Qi Huan, Mark Stevens, Aziza Suleymanzade, Catherine Lee, Ralf Riedinger, David J. Starling, Pieter-Jan Stas, Can M. Knaut, Neil Sinclair, Daniel R. Assumpcao, Yan-Cheng Wei, Erik N. Knall, Bartholomeus Machielse, Denis D. Sukachev, David S. Levonian, Mihir K. Bhaskar, Marko Loncar, Scott Hamilton, Mikhail Lukin, Dirk R. Englund, P. Benjamin Dixon
Development of a Boston-area 50-km fiber quantum network testbed. CoRR (2023)
Marc Grau Davis, Joaquín Chung, Dirk R. Englund, Rajkumar Kettimuthu
Towards Distributed Quantum Computing by Qubit and Gate Graph Partitioning Techniques. QCE (2023)
Amara Katabarwa, Collin Farquhar, Hyeongrak Choi, Marc Grau Davis, Dirk R. Englund, Yudong Cao, Mekena Metcalf
Reinforcement Learning for Gate Synthesis in Noisy Quantum Systems. QCE (2023)
Zhizhen Zhong, Mingran Yang, Jay Lang, Christian Williams, Liam Kronman, Alexander Sludds, Homa Esfahanizadeh, Dirk R. Englund, Manya Ghobadi
Lightning: A Reconfigurable Photonic-Electronic SmartNIC for Fast and Energy-Efficient Inference. SIGCOMM (2023)
Zhizhen Zhong, Mingran Yang, Jay Lang, Dirk R. Englund, Manya Ghobadi
Demo: First Demonstration of Real-Time Photonic-Electronic DNN Acceleration on SmartNICs. SIGCOMM (2023)
Ryan Hamerly, Alexander Sludds, Dirk R. Englund
A Phase-Optimal Linear Photonic Architecture. PSC (2023)
Jinchen Wang, Mohamed I. Ibrahim, Isaac B. Harris, Nathan M. Monroe, Muhammad Ibrahim Wasiq Khan, Xiang Yi, Dirk R. Englund, Ruonan Han
THz Cryo-CMOS Backscatter Transceiver: A Contactless 4 Kelvin-300 Kelvin Data Interface. ISSCC (2023)
Marc Grau Davis, Joaquín Chung, Dirk R. Englund, Rajkumar Kettimuthu
Towards Distributed Quantum Computing by Qubit and Gate Graph Partitioning Techniques. CoRR (2023)
Grigorii Slinkov, Steven Becker, Dirk R. Englund, Birgit Stiller
Photonic Activation Function Using Sound Waves. PSC (2023)
Saumil Bandyopadhyay, Alexander Sludds, Stefan Krastanov, Ryan Hamerly, Nicholas C. Harris, Darius Bunandar, Matthew Streshinsky, Michael Hochberg, Dirk R. Englund
Single chip photonic deep neural network with accelerated training. CoRR (2022)
Ryan Hamerly, Saumil Bandyopadhyay, Alexander Sludds, Dirk R. Englund
Design of Asymptotically Perfect Linear Feedforward Photonic Circuits. OFC (2022)
Zaijun Chen, Alexander Sludds, Ronald Davis, Ian Christen, Liane Bernstein, Tobias Heuser, Niels Heermeier, James A. Lott, Stephan Reitzenstein, Ryan Hamerly, Dirk R. Englund
Deep Learning with Coherent VCSEL Neural Networks. CoRR (2022)
Alexander Sludds, Ryan Hamerly, Saumil Bandyopadhyay, Zaijun Chen, Zhizhen Zhong, Liane Bernstein, Manya Ghobadi, Dirk R. Englund
WDM-Enabled Photonic Edge Computing. OECC/PSC (2022)
Zaijun Chen, Alexander Sludds, Ronald Davis, Ian Christen, Lamia Ateshian, Liane Bernstein, Tobias Heuser, Niels Heermeier, James A. Lott, Stephan Reitzenstein, Ryan Hamerly, Dirk R. Englund
Coherent VCSEL Network Computing. OECC/PSC (2022)
Jasvith Raj Basani, Mikkel Heuck, Dirk R. Englund, Stefan Krastanov
All-Photonic Artificial Neural Network Processor Via Non-linear Optics. CoRR (2022)
Ryan Hamerly, Alexander Sludds, Saumil Bandyopadhyay, Zaijun Chen, Zhizhen Zhong, Liane Bernstein, Dirk R. Englund
Netcast: Low-Power Edge Computing with WDM-defined Optical Neural Networks. CoRR (2022)
Alexander Sludds, Ryan Hamerly, Saumil Bandyopadhyay, Zhizhen Zhong, Zaijun Chen, Liane Bernstein, Manya Ghobadi, Dirk R. Englund
Demonstration of WDM-Enabled Ultralow-Energy Photonic Edge Computing. OFC (2022)
Sri Krishna Vadlamani, Dirk R. Englund, Ryan Hamerly
Transferable Learning on Analog Hardware. CoRR (2022)
Liane Bernstein, Alexander Sludds, Christopher Panuski, Sivan Trajtenberg-Mills, Ryan Hamerly, Dirk R. Englund
Single-Shot Optical Neural Network. CoRR (2022)
Jasvith Raj Basani, Sri Krishna Vadlamani, Saumil Bandyopadhyay, Dirk R. Englund, Ryan Hamerly
A Self-Similar Sine-Cosine Fractal Architecture for Multiport Interferometers. CoRR (2022)
Alexander Sludds, Saumil Bandyopadhyay, Zaijun Chen, Zhizhen Zhong, Jared Cochrane, Liane Bernstein, Darius Bunandar, P. Ben Dixon, Scott A. Hamilton, Matthew Streshinsky, Ari Novack, Tom Baehr Jones, Michael Hochberg, Manya Ghobadi, Ryan Hamerly, Dirk R. Englund
Delocalized Photonic Deep Learning on the Internet's Edge. CoRR (2022)
Hyeongrak Choi, Marc Grau Davis, Dirk R. Englund
Congestion-free Multiflow Quantum Tree Network with Logarithmic Overhead. SEC (2022)
Ronald Davis, Zaijun Chen, Ryan Hamerly, Dirk R. Englund
Frequency-Encoded Deep Learning with Speed-of-Light Dominated Latency. CoRR (2022)
Mohamed I. Ibrahim, Christopher Foy, Dirk R. Englund, Ruonan Han
High-Scalability CMOS Quantum Magnetometer With Spin-State Excitation and Detection of Diamond Color Centers. IEEE J. Solid State Circuits 56 (3) (2021)
Valeria Saggio, Beate E. Asenbeck, Arne Hamann, Teodor Strömberg, Peter Schiansky, Vedran Dunjko, Nicolai Friis, Nicholas C. Harris, Michael Hochberg, Dirk R. Englund, Sabine Wölk, Hans J. Briegel, Philip Walther
Experimental quantum speed-up in reinforcement learning agents. Nat. 591 (7849) (2021)
Mohamed I. Ibrahim, Christopher Foy, Dirk R. Englund, Ruonan Han
A Scalable Quantum Magnetometer in 65nm CMOS with Vector-Field Detection Capability. ISSCC (2019)
Mohamed I. Ibrahim, Christopher Foy, Donggyu Kim, Dirk R. Englund, Ruonan Han
Room-Temperature Quantum Sensing in CMOS: On-Chip Detection of Electronic Spin States in Diamond Color Centers for Magnetometry. VLSI Circuits (2018)