Dirk R. Englund

62 papers A* 2Misc 7Journal 38Unranked 15

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	22.1 A Cryo-CMOS Color-Center Quantum Controller with Diamond Waveguide Micro-Chiplet Integration. ISSCC Jinchen Wang, Yuyang Han, Isaac B. Harris, Eunseok Lee, Yong Hu, Di Liu, Dirk R. Englund, Ruonan Han
2026	J	`jnl`	Quantization-aware Photonic Homodyne computing for Accelerated Artificial Intelligence and Scientific Simulation. CoRR Lian Zhou, Kaiwen Xue, Amirhossein Fallah, Lijin Liu, Chun-Ho Lee, Kiwon Kwon, Clayton Cheung, Yuan Li, Yue Yu, Yun-Jhu Lee, Songlin Zhao, Ryan Hamerly, Edo Waks, Dirk R. Englund, Constantine Sideris, Mengjie Yu, Zaijun Chen
2026	J	`jnl`	T Count as a Numerically Solvable Minimization Problem. CoRR Marc Grau Davis, Ed Younis, Mathias Weiden, Hyeongrak Choi, Dirk R. Englund
2025	—	`conf`	A Three-Terminal Nanophotonic Integrator for Deep Neural Networks. OFC Saumil Bandyopadhyay, Kfir Sulimany, Alexander Sludds, Ryan Hamerly, Keren Bergman, Dirk R. Englund
2025	J	`jnl`	AI Agents for Photonic Integrated Circuit Design Automation. CoRR Ankita Sharma, YuQi Fu, Vahid Ansari, Rishabh Iyer, Fiona Kuang, Kashish Mistry, Raisa Islam Aishy, Sara Ahmad, Joaquin Matres, Dirk R. Englund, Joyce K. S. Poon
2025	J	`jnl`	AI-Driven Robotics for Free-Space Optics. CoRR Shiekh Zia Uddin, Sachin Vaidya, Shrish Choudhary, Zhuo Chen, Raafat K. Salib, Luke Huang, Dirk R. Englund, Marin Soljacic
2025	J	`jnl`	Disaggregated Deep Learning via In-Physics Computing at Radio Frequency. CoRR Zhihui Gao, Sri Krishna Vadlamani, Kfir Sulimany, Dirk R. Englund, Tingjun Chen
2025	J	`jnl`	Heterogeneously Integrated Nitrogen-Vacancy Sensing for Real-Time CMOS Security Threat Detection. IEEE Trans. Very Large Scale Integr. Syst. Maitreyi Ashok, Yong Hu, Hanfeng Wang, Ethan G. Arnault, Hamza Raniwala, Aya G. Amer, Matthew Trusheim, Dirk R. Englund, Anantha P. Chandrakasan
2025	J	`jnl`	LightCode: Compiling LLM Inference for Photonic-Electronic Systems. CoRR Ryan Tomich, Zhizhen Zhong, Dirk R. Englund
2025	J	`jnl`	Machine Intelligence on Wireless Edge Networks. CoRR Sri Krishna Vadlamani, Kfir Sulimany, Zhihui Gao, Tingjun Chen, Dirk R. Englund
2025	J	`jnl`	Programmable Quantum Matter: Heralding Large Cluster States in Driven Inhomogeneous Spin Ensembles. CoRR Pratyush Anand, Louis Follet, Odiel Hooybergs, Dirk R. Englund
2025	—	`conf`	Quantum-Secure Deep Learning in Optical Networks. OFC Kfir Sulimany, Sri Krishna Vadlamani, Ryan Hamerly, Prahlad Iyengar, Dirk R. Englund
2025	—	`conf`	Single-Shot Matrix-Matrix Multiplication Optical Processor for Deep Learning. OFC Chao Luan, Ronald Davis, Dirk R. Englund, Ryan Hamerly
2025	J	`jnl`	WaveguideQED.jl: An Efficient Framework for Simulating Non-Markovian Waveguide Quantum Electrodynamics. Quantum Matias Bundgaard-Nielsen, Dirk R. Englund, Mikkel Heuck, Stefan Krastanov
2024	—	`conf`	A CMOS-Integrated Color Center Pulse-Sequence Control and Detection System. CICC Jinchen Wang, Isaac B. Harris, Xibi Chen, Dirk R. Englund, Ruonan Han
2024	J	`jnl`	Dynamic Inhomogeneous Quantum Resource Scheduling with Reinforcement Learning. CoRR Linsen Li, Pratyush Anand, Kaiming He, Dirk R. Englund
2024	J	`jnl`	Hypermultiplexed Integrated Tensor Optical Processor. CoRR Shaoyuan Ou, Alexander Sludds, Ryan Hamerly, Ke Zhang, Hanke Feng, Eric Zhong, Cheng Wang, Dirk R. Englund, Mengjie Yu, Zaijun Chen
2024	Misc	`conf`	Quantum Circuit Switching with One-Way Repeaters in Star Networks. QCE Álvaro G. Iñesta, Hyeongrak Choi, Dirk R. Englund, Stephanie Wehner
2024	J	`jnl`	Quantum Circuit Switching with One-Way Repeaters in Star Networks. CoRR Álvaro G. Iñesta, Hyeongrak Choi, Dirk R. Englund, Stephanie Wehner
2024	—	`conf`	Quantum Networks: Exploring Scalability, Topology, and Error Correction. OFC Hyeongrak Choi, Marc Grau Davis, Álvaro G. Iñesta, Dirk R. Englund
2024	J	`jnl`	Quantum-secure multiparty deep learning. CoRR Kfir Sulimany, Sri Krishna Vadlamani, Ryan Hamerly, Prahlad Iyengar, Dirk R. Englund
2024	J	`jnl`	Towards the Information-Theoretic Limit of Programmable Photonics. CoRR Ryan Hamerly, Jasvith Raj Basani, Alexander Sludds, Sri Krishna Vadlamani, Dirk R. Englund
2023	Misc	`conf`	A Phase-Optimal Linear Photonic Architecture. PSC Ryan Hamerly, Alexander Sludds, Dirk R. Englund
2023	A*	`conf`	Demo: First Demonstration of Real-Time Photonic-Electronic DNN Acceleration on SmartNICs. SIGCOMM Zhizhen Zhong, Mingran Yang, Jay Lang, Dirk R. Englund, Manya Ghobadi
2023	J	`jnl`	Development of a Boston-area 50-km fiber quantum network testbed. CoRR 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 D. Lukin, Dirk R. Englund, P. Benjamin Dixon
2023	A*	`conf`	Lightning: A Reconfigurable Photonic-Electronic SmartNIC for Fast and Energy-Efficient Inference. SIGCOMM Zhizhen Zhong, Mingran Yang, Jay Lang, Christian Williams, Liam Kronman, Alexander Sludds, Homa Esfahanizadeh, Dirk R. Englund, Manya Ghobadi
2023	Misc	`conf`	Photonic Activation Function Using Sound Waves. PSC Grigorii Slinkov, Steven Becker, Dirk R. Englund, Birgit Stiller
2023	Misc	`conf`	Reinforcement Learning for Gate Synthesis in Noisy Quantum Systems. QCE Amara Katabarwa, Collin Farquhar, Hyeongrak Choi, Marc Grau Davis, Dirk R. Englund, Yudong Cao, Mekena Metcalf
2023	—	`conf`	THz Cryo-CMOS Backscatter Transceiver: A Contactless 4 Kelvin-300 Kelvin Data Interface. ISSCC Jinchen Wang, Mohamed I. Ibrahim, Isaac B. Harris, Nathan M. Monroe, Muhammad Ibrahim Wasiq Khan, Xiang Yi, Dirk R. Englund, Ruonan Han
2023	Misc	`conf`	Towards Distributed Quantum Computing by Qubit and Gate Graph Partitioning Techniques. QCE Marc Grau Davis, Joaquin Chung, Dirk R. Englund, Rajkumar Kettimuthu
2023	J	`jnl`	Towards Distributed Quantum Computing by Qubit and Gate Graph Partitioning Techniques. CoRR Marc Grau Davis, Joaquin Chung, Dirk R. Englund, Rajkumar Kettimuthu
2022	J	`jnl`	A Self-Similar Sine-Cosine Fractal Architecture for Multiport Interferometers. CoRR Jasvith Raj Basani, Sri Krishna Vadlamani, Saumil Bandyopadhyay, Dirk R. Englund, Ryan Hamerly
2022	J	`jnl`	All-Photonic Artificial Neural Network Processor Via Non-linear Optics. CoRR Jasvith Raj Basani, Mikkel Heuck, Dirk R. Englund, Stefan Krastanov
2022	—	`conf`	Coherent VCSEL Network Computing. OECC/PSC 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
2022	Misc	`conf`	Congestion-free Multiflow Quantum Tree Network with Logarithmic Overhead. SEC Hyeongrak Choi, Marc Grau Davis, Dirk R. Englund
2022	J	`jnl`	Deep Learning with Coherent VCSEL Neural Networks. CoRR Zaijun Chen, Alexander Sludds, Ronald Davis, Ian Christen, Liane Bernstein, Tobias Heuser, Niels Heermeier, James A. Lott, Stephan Reitzenstein, Ryan Hamerly, Dirk R. Englund
2022	J	`jnl`	Delocalized Photonic Deep Learning on the Internet's Edge. CoRR 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
2022	—	`conf`	Demonstration of WDM-Enabled Ultralow-Energy Photonic Edge Computing. OFC Alexander Sludds, Ryan Hamerly, Saumil Bandyopadhyay, Zhizhen Zhong, Zaijun Chen, Liane Bernstein, Manya Ghobadi, Dirk R. Englund
2022	—	`conf`	Design of Asymptotically Perfect Linear Feedforward Photonic Circuits. OFC Ryan Hamerly, Saumil Bandyopadhyay, Alexander Sludds, Dirk R. Englund
2022	J	`jnl`	Frequency-Encoded Deep Learning with Speed-of-Light Dominated Latency. CoRR Ronald Davis, Zaijun Chen, Ryan Hamerly, Dirk R. Englund
2022	J	`jnl`	Netcast: Low-Power Edge Computing with WDM-defined Optical Neural Networks. CoRR Ryan Hamerly, Alexander Sludds, Saumil Bandyopadhyay, Zaijun Chen, Zhizhen Zhong, Liane Bernstein, Dirk R. Englund
2022	J	`jnl`	Single chip photonic deep neural network with accelerated training. CoRR Saumil Bandyopadhyay, Alexander Sludds, Stefan Krastanov, Ryan Hamerly, Nicholas C. Harris, Darius Bunandar, Matthew Streshinsky, Michael Hochberg, Dirk R. Englund
2022	J	`jnl`	Single-Shot Optical Neural Network. CoRR Liane Bernstein, Alexander Sludds, Christopher Panuski, Sivan Trajtenberg-Mills, Ryan Hamerly, Dirk R. Englund
2022	J	`jnl`	Transferable Learning on Analog Hardware. CoRR Sri Krishna Vadlamani, Dirk R. Englund, Ryan Hamerly
2022	—	`conf`	WDM-Enabled Photonic Edge Computing. OECC/PSC Alexander Sludds, Ryan Hamerly, Saumil Bandyopadhyay, Zaijun Chen, Zhizhen Zhong, Liane Bernstein, Manya Ghobadi, Dirk R. Englund
2021	J	`jnl`	Accurate Self-Configuration of Rectangular Multiport Interferometers. CoRR Ryan Hamerly, Saumil Bandyopadhyay, Dirk R. Englund
2021	J	`jnl`	Experimental quantum speed-up in reinforcement learning agents. Nat. 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
2021	J	`jnl`	Hardware error correction for programmable photonics. CoRR Saumil Bandyopadhyay, Ryan Hamerly, Dirk R. Englund
2021	J	`jnl`	High-Scalability CMOS Quantum Magnetometer With Spin-State Excitation and Detection of Diamond Color Centers. IEEE J. Solid State Circuits Mohamed I. Ibrahim, Christopher Foy, Dirk R. Englund, Ruonan Han
2021	—	`conf`	IOI: In-network Optical Inference. OptSys@SIGCOMM Zhizhen Zhong, Weiyang Wang, Manya Ghobadi, Alexander Sludds, Ryan Hamerly, Liane Bernstein, Dirk R. Englund
2021	J	`jnl`	Infinitely Scalable Multiport Interferometers. CoRR Ryan Hamerly, Saumil Bandyopadhyay, Dirk R. Englund
2021	J	`jnl`	Quantum algorithms for group convolution, cross-correlation, and equivariant transformations. CoRR Grecia Castelazo, Quynh The Nguyen, Giacomo De Palma, Dirk R. Englund, Seth Lloyd, Bobak Toussi Kiani
2021	—	`conf`	Robust Zero-Change Self-Configuration of the Rectangular Mesh. OFC Ryan Hamerly, Saumil Bandyopadhyay, Dirk R. Englund
2021	J	`jnl`	Stability of Self-Configuring Large Multiport Interferometers. CoRR Ryan Hamerly, Saumil Bandyopadhyay, Dirk R. Englund
2020	J	`jnl`	Freely scalable and reconfigurable optical hardware for deep learning. CoRR Liane Bernstein, Alexander Sludds, Ryan Hamerly, Vivienne Sze, Joel S. Emer, Dirk R. Englund
2020	J	`jnl`	Quantum advantage for differential equation analysis. CoRR Bobak Toussi Kiani, Giacomo De Palma, Dirk R. Englund, William M. Kaminsky, Milad Marvian, Seth Lloyd
2019	—	`conf`	A Scalable Quantum Magnetometer in 65nm CMOS with Vector-Field Detection Capability. ISSCC Mohamed I. Ibrahim, Christopher Foy, Dirk R. Englund, Ruonan Han
2018	J	`jnl`	Large-Scale Optical Neural Networks based on Photoelectric Multiplication. CoRR Ryan Hamerly, Alex Sludds, Liane Bernstein, Marin Soljacic, Dirk R. Englund
2018	J	`jnl`	Photonic Recurrent Ising Sampler. CoRR 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
2018	—	`conf`	Room-Temperature Quantum Sensing in CMOS: On-Chip Detection of Electronic Spin States in Diamond Color Centers for Magnetometry. VLSI Circuits Mohamed I. Ibrahim, Christopher Foy, Donggyu Kim, Dirk R. Englund, Ruonan Han
2018	Misc	`conf`	WDM Weighted Sum in an 8x8 SOA-Based InP Cross-Connect for Photonic Deep Neural Networks. PSC Bin Shi, Nicola Calabretta, Darius Bunandar, Dirk R. Englund, Ripalta Stabile
2015	J	`jnl`	Finite-key analysis of high-dimensional time-energy entanglement-based quantum key distribution. Quantum Inf. Process. Catherine Lee, Jacob Mower, Zheshen Zhang, Jeffrey H. Shapiro, Dirk R. Englund