Dirk R. Englund

According to our database, Dirk R. Englund authored at least 47 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

QAMNet: Fast and Efficient Optical QAM Neural Networks.

Marc Gong Bacvanski, Sri Krishna Vadlamani, Kfir Sulimany, Dirk Robert Englund

CoRR, 2024

Towards the Information-Theoretic Limit of Programmable Photonics.

Ryan Hamerly, Jasvith Raj Basani, Alexander Sludds, Sri Krishna Vadlamani, Dirk R. Englund

CoRR, 2024

Quantum-secure multiparty deep learning.

Kfir Sulimany, Sri Krishna Vadlamani, Ryan Hamerly, Prahlad Iyengar, Dirk R. Englund

CoRR, 2024

Quantum Circuit Switching with One-Way Repeaters in Star Networks.

Álvaro G. Iñesta, Hyeongrak Choi, Dirk R. Englund, Stephanie Wehner

CoRR, 2024

Dynamic Inhomogeneous Quantum Resource Scheduling with Reinforcement Learning.

Linsen Li, Pratyush Anand, Kaiming He, Dirk R. Englund

CoRR, 2024

Hypermultiplexed Integrated Tensor Optical Processor.

Shaoyuan Ou, Alexander Sludds, Ryan Hamerly, Ke Zhang, Hanke Feng, Eric Zhong, Cheng Wang, Dirk R. Englund, Mengjie Yu, Zaijun Chen

CoRR, 2024

Quantum Networks: Exploring Scalability, Topology, and Error Correction.

Hyeongrak Choi, Marc Grau Davis, Álvaro G. Iñesta, Dirk R. Englund

Proceedings of the Optical Fiber Communications Conference and Exhibition, 2024

A CMOS-Integrated Color Center Pulse-Sequence Control and Detection System.

Jinchen Wang, Isaac B. Harris, Xibi Chen, Dirk R. Englund, Ruonan Han

Proceedings of the IEEE Custom Integrated Circuits Conference, 2024

2023

Development of a Boston-area 50-km fiber quantum network testbed.

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

CoRR, 2023

Lightning: A Reconfigurable Photonic-Electronic SmartNIC for Fast and Energy-Efficient Inference.

Zhizhen Zhong, Mingran Yang, Jay Lang, Christian Williams, Liam Kronman, Alexander Sludds, Homa Esfahanizadeh, Dirk R. Englund, Manya Ghobadi

Proceedings of the ACM SIGCOMM 2023 Conference, 2023

Demo: First Demonstration of Real-Time Photonic-Electronic DNN Acceleration on SmartNICs.

Zhizhen Zhong, Mingran Yang, Jay Lang, Dirk R. Englund, Manya Ghobadi

Proceedings of the ACM SIGCOMM 2023 Conference, 2023

Reinforcement Learning for Gate Synthesis in Noisy Quantum Systems.

Amara Katabarwa, Collin Farquhar, Hyeongrak Choi, Marc Grau Davis, Dirk R. Englund, Yudong Cao, Mekena Metcalf

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023

Towards Distributed Quantum Computing by Qubit and Gate Graph Partitioning Techniques.

Marc Grau Davis, Joaquin Chung, Dirk R. Englund, Rajkumar Kettimuthu

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023

Photonic Activation Function Using Sound Waves.

Grigorii Slinkov, Steven Becker, Dirk R. Englund, Birgit Stiller

Proceedings of the International Conference on Photonics in Switching and Computing, 2023

A Phase-Optimal Linear Photonic Architecture.

Ryan Hamerly, Alexander Sludds, Dirk R. Englund

Proceedings of the International Conference on Photonics in Switching and Computing, 2023

THz Cryo-CMOS Backscatter Transceiver: A Contactless 4 Kelvin-300 Kelvin Data Interface.

Jinchen Wang, Mohamed I. Ibrahim, Isaac B. Harris, Nathan M. Monroe, Muhammad Ibrahim Wasiq Khan, Xiang Yi, Dirk R. Englund, Ruonan Han

Proceedings of the IEEE International Solid- State Circuits Conference, 2023

2022

Transferable Learning on Analog Hardware.

Sri Krishna Vadlamani, Dirk R. Englund, Ryan Hamerly

CoRR, 2022

A Self-Similar Sine-Cosine Fractal Architecture for Multiport Interferometers.

Jasvith Raj Basani, Sri Krishna Vadlamani, Saumil Bandyopadhyay, Dirk R. Englund, Ryan Hamerly

CoRR, 2022

Single chip photonic deep neural network with accelerated training.

Saumil Bandyopadhyay, Alexander Sludds, Stefan Krastanov, Ryan Hamerly, Nicholas C. Harris, Darius Bunandar, Matthew Streshinsky, Michael Hochberg, Dirk R. Englund

CoRR, 2022

Frequency-Encoded Deep Learning with Speed-of-Light Dominated Latency.

Ronald Davis, Zaijun Chen, Ryan Hamerly, Dirk R. Englund

CoRR, 2022

Deep Learning with Coherent VCSEL Neural Networks.

Zaijun Chen, Alexander Sludds, Ronald Davis, Ian Christen, Liane Bernstein, Tobias Heuser, Niels Heermeier, James A. Lott, Stephan Reitzenstein, Ryan Hamerly, Dirk R. Englund

CoRR, 2022

Netcast: Low-Power Edge Computing with WDM-defined Optical Neural Networks.

Ryan Hamerly, Alexander Sludds, Saumil Bandyopadhyay, Zaijun Chen, Zhizhen Zhong, Liane Bernstein, Dirk R. Englund

CoRR, 2022

Single-Shot Optical Neural Network.

Liane Bernstein, Alexander Sludds, Christopher Panuski, Sivan Trajtenberg-Mills, Ryan Hamerly, Dirk R. Englund

CoRR, 2022

All-Photonic Artificial Neural Network Processor Via Non-linear Optics.

Jasvith Raj Basani, Mikkel Heuck, Dirk R. Englund, Stefan Krastanov

CoRR, 2022

Delocalized Photonic Deep Learning on the Internet's Edge.

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

CoRR, 2022

WDM-Enabled Photonic Edge Computing.

Alexander Sludds, Ryan Hamerly, Saumil Bandyopadhyay, Zaijun Chen, Zhizhen Zhong, Liane Bernstein, Manya Ghobadi, Dirk R. Englund

Proceedings of the 2022 27th OptoElectronics and Communications Conference (OECC) and 2022 International Conference on Photonics in Switching and Computing (PSC), 2022

Coherent VCSEL Network Computing.

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

Proceedings of the 2022 27th OptoElectronics and Communications Conference (OECC) and 2022 International Conference on Photonics in Switching and Computing (PSC), 2022

Demonstration of WDM-Enabled Ultralow-Energy Photonic Edge Computing.

Alexander Sludds, Ryan Hamerly, Saumil Bandyopadhyay, Zhizhen Zhong, Zaijun Chen, Liane Bernstein, Manya Ghobadi, Dirk R. Englund

Proceedings of the Optical Fiber Communications Conference and Exhibition, 2022

Design of Asymptotically Perfect Linear Feedforward Photonic Circuits.

Ryan Hamerly, Saumil Bandyopadhyay, Alexander Sludds, Dirk R. Englund

Proceedings of the Optical Fiber Communications Conference and Exhibition, 2022

Congestion-free Multiflow Quantum Tree Network with Logarithmic Overhead.

Hyeongrak Choi, Marc Grau Davis, Dirk R. Englund

Proceedings of the 7th IEEE/ACM Symposium on Edge Computing, 2022

2021

Experimental quantum speed-up in reinforcement learning agents.

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

Nat., 2021

High-Scalability CMOS Quantum Magnetometer With Spin-State Excitation and Detection of Diamond Color Centers.

Mohamed I. Ibrahim, Christopher Foy, Dirk R. Englund, Ruonan Han

IEEE J. Solid State Circuits, 2021

Quantum algorithms for group convolution, cross-correlation, and equivariant transformations.

Grecia Castelazo, Quynh The Nguyen, Giacomo De Palma, Dirk R. Englund, Seth Lloyd, Bobak Toussi Kiani

CoRR, 2021

Infinitely Scalable Multiport Interferometers.

Ryan Hamerly, Saumil Bandyopadhyay, Dirk R. Englund

CoRR, 2021

Stability of Self-Configuring Large Multiport Interferometers.

Ryan Hamerly, Saumil Bandyopadhyay, Dirk R. Englund

CoRR, 2021

Accurate Self-Configuration of Rectangular Multiport Interferometers.

Ryan Hamerly, Saumil Bandyopadhyay, Dirk R. Englund

CoRR, 2021

Hardware error correction for programmable photonics.

Saumil Bandyopadhyay, Ryan Hamerly, Dirk R. Englund

CoRR, 2021

IOI: In-network Optical Inference.

Zhizhen Zhong, Weiyang Wang, Manya Ghobadi, Alexander Sludds, Ryan Hamerly, Liane Bernstein, Dirk R. Englund

Proceedings of the OptSys '21: Proceedings of the ACM SIGCOMM 2021 Workshop on Optical Systems, 2021

Robust Zero-Change Self-Configuration of the Rectangular Mesh.

Ryan Hamerly, Saumil Bandyopadhyay, Dirk R. Englund

Proceedings of the Optical Fiber Communications Conference and Exhibition, 2021

2020

Quantum advantage for differential equation analysis.

Bobak Toussi Kiani, Giacomo De Palma, Dirk R. Englund, William M. Kaminsky, Milad Marvian, Seth Lloyd

CoRR, 2020

Freely scalable and reconfigurable optical hardware for deep learning.

Liane Bernstein, Alexander Sludds, Ryan Hamerly, Vivienne Sze, Joel S. Emer, Dirk R. Englund

CoRR, 2020

2019

A Scalable Quantum Magnetometer in 65nm CMOS with Vector-Field Detection Capability.

Mohamed I. Ibrahim, Christopher Foy, Dirk R. Englund, Ruonan Han

Proceedings of the IEEE International Solid- State Circuits Conference, 2019

2018

Large-Scale Optical Neural Networks based on Photoelectric Multiplication.

Ryan Hamerly, Alex Sludds, Liane Bernstein, Marin Soljacic, Dirk R. Englund

CoRR, 2018

Photonic Recurrent Ising Sampler.

Charles Roques-Carmes, Yichen Shen, Cristian Zanoci, Mihika Prabhu, Fadi Atieh, Li Jing, Tena Dubcek, Vladimir Ceperic, John D. Joannopoulos, Dirk R. Englund, Marin Soljacic

CoRR, 2018

Room-Temperature Quantum Sensing in CMOS: On-Chip Detection of Electronic Spin States in Diamond Color Centers for Magnetometry.

Mohamed I. Ibrahim, Christopher Foy, Donggyu Kim, Dirk R. Englund, Ruonan Han

Proceedings of the 2018 IEEE Symposium on VLSI Circuits, 2018

WDM Weighted Sum in an 8x8 SOA-Based InP Cross-Connect for Photonic Deep Neural Networks.

Bin Shi, Nicola Calabretta, Darius Bunandar, Dirk R. Englund, Ripalta Stabile

Proceedings of the Photonics in Switching and Computing, 2018

2015

Finite-key analysis of high-dimensional time-energy entanglement-based quantum key distribution.

Catherine Lee, Jacob Mower, Zheshen Zhang, Jeffrey H. Shapiro, Dirk R. Englund

Quantum Inf. Process., 2015