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ORCIDDirk R. Englund
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- affiliation: Massachusetts Institute of Technology, Cambridge, MA, USA
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2020 – today
- 2024
[c19]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: 1-2- [c18]Hyeongrak Choi, Marc Grau Davis, Álvaro G. Iñesta, Dirk R. Englund:
Quantum Networks: Exploring Scalability, Topology, and Error Correction. OFC 2024: 1-3 - [i26]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 abs/2401.18050 (2024) - [i25]Linsen Li, Pratyush Anand, Kaiming He, Dirk R. Englund:
Dynamic Inhomogeneous Quantum Resource Scheduling with Reinforcement Learning. CoRR abs/2405.16380 (2024) - [i24]Álvaro G. Iñesta, Hyeongrak Choi, Dirk R. Englund, Stephanie Wehner:
Quantum Circuit Switching with One-Way Repeaters in Star Networks. CoRR abs/2405.19049 (2024) - [i23]Kfir Sulimany, Sri Krishna Vadlamani, Ryan Hamerly, Prahlad Iyengar, Dirk R. Englund:
Quantum-secure multiparty deep learning. CoRR abs/2408.05629 (2024) - [i22]Ryan Hamerly, Jasvith Raj Basani, Alexander Sludds, Sri Krishna Vadlamani, Dirk R. Englund:
Towards the Information-Theoretic Limit of Programmable Photonics. CoRR abs/2408.09673 (2024) - [i21]Marc Gong Bacvanski, Sri Krishna Vadlamani, Kfir Sulimany, Dirk Robert Englund:
QAMNet: Fast and Efficient Optical QAM Neural Networks. CoRR abs/2409.12305 (2024) - 2023
- [c17]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: 504-505 - [c16]Ryan Hamerly, Alexander Sludds, Dirk R. Englund:
A Phase-Optimal Linear Photonic Architecture. PSC 2023: 1-3 - [c15]Grigorii Slinkov, Steven Becker, Dirk R. Englund, Birgit Stiller:
Photonic Activation Function Using Sound Waves. PSC 2023: 1-3 - [c14]Marc Grau Davis, Joaquin Chung, Dirk R. Englund, Rajkumar Kettimuthu:
Towards Distributed Quantum Computing by Qubit and Gate Graph Partitioning Techniques. QCE 2023: 161-167 - [c13]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: 215-218 - [c12]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: 452-472 - [c11]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: 1173-1175 - [i20]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 abs/2307.15696 (2023) - [i19]Marc Grau Davis, Joaquin Chung, Dirk R. Englund, Rajkumar Kettimuthu:
Towards Distributed Quantum Computing by Qubit and Gate Graph Partitioning Techniques. CoRR abs/2310.03942 (2023) - 2022
- [c10]Hyeongrak Choi, Marc Grau Davis, Dirk R. Englund:
Congestion-free Multiflow Quantum Tree Network with Logarithmic Overhead. SEC 2022: 411-413 - [c9]Ryan Hamerly, Saumil Bandyopadhyay, Alexander Sludds, Dirk R. Englund:
Design of Asymptotically Perfect Linear Feedforward Photonic Circuits. OFC 2022: 1-3 - [c8]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: 1-3 - [c7]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: 1-3 - [c6]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: 1-3 - [i18]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 abs/2203.05466 (2022) - [i17]Jasvith Raj Basani, Mikkel Heuck, Dirk R. Englund, Stefan Krastanov:
All-Photonic Artificial Neural Network Processor Via Non-linear Optics. CoRR abs/2205.08608 (2022) - [i16]Liane Bernstein, Alexander Sludds, Christopher Panuski, Sivan Trajtenberg-Mills, Ryan Hamerly, Dirk R. Englund:
Single-Shot Optical Neural Network. CoRR abs/2205.09103 (2022) - [i15]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 abs/2207.01777 (2022) - [i14]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 abs/2207.05329 (2022) - [i13]Ronald Davis, Zaijun Chen, Ryan Hamerly, Dirk R. Englund:
Frequency-Encoded Deep Learning with Speed-of-Light Dominated Latency. CoRR abs/2207.06883 (2022) - [i12]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 abs/2208.01623 (2022) - [i11]Jasvith Raj Basani, Sri Krishna Vadlamani, Saumil Bandyopadhyay, Dirk R. Englund, Ryan Hamerly:
A Self-Similar Sine-Cosine Fractal Architecture for Multiport Interferometers. CoRR abs/2209.03335 (2022) - [i10]Sri Krishna Vadlamani, Dirk R. Englund, Ryan Hamerly:
Transferable Learning on Analog Hardware. CoRR abs/2210.06632 (2022) - 2021
- [j3]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): 1001-1014 (2021) - [j2]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): 229-233 (2021) - [c5]Ryan Hamerly, Saumil Bandyopadhyay, Dirk R. Englund:
Robust Zero-Change Self-Configuration of the Rectangular Mesh. OFC 2021: 1-3 - [c4]Zhizhen Zhong, Weiyang Wang, Manya Ghobadi, Alexander Sludds, Ryan Hamerly, Liane Bernstein, Dirk R. Englund:
IOI: In-network Optical Inference. OptSys@SIGCOMM 2021: 18-22 - [i9]Saumil Bandyopadhyay, Ryan Hamerly, Dirk R. Englund:
Hardware error correction for programmable photonics. CoRR abs/2103.04993 (2021) - [i8]Ryan Hamerly, Saumil Bandyopadhyay, Dirk R. Englund:
Accurate Self-Configuration of Rectangular Multiport Interferometers. CoRR abs/2106.03249 (2021) - [i7]Ryan Hamerly, Saumil Bandyopadhyay, Dirk R. Englund:
Stability of Self-Configuring Large Multiport Interferometers. CoRR abs/2106.04363 (2021) - [i6]Ryan Hamerly, Saumil Bandyopadhyay, Dirk R. Englund:
Infinitely Scalable Multiport Interferometers. CoRR abs/2109.05367 (2021) - [i5]Grecia Castelazo, Quynh The Nguyen, Giacomo De Palma, Dirk R. Englund, Seth Lloyd, Bobak Toussi Kiani:
Quantum algorithms for group convolution, cross-correlation, and equivariant transformations. CoRR abs/2109.11330 (2021) - 2020
- [i4]Liane Bernstein, Alexander Sludds, Ryan Hamerly, Vivienne Sze, Joel S. Emer, Dirk R. Englund:
Freely scalable and reconfigurable optical hardware for deep learning. CoRR abs/2006.13926 (2020) - [i3]Bobak Toussi Kiani, Giacomo De Palma, Dirk R. Englund, William M. Kaminsky, Milad Marvian, Seth Lloyd:
Quantum advantage for differential equation analysis. CoRR abs/2010.15776 (2020)
2010 – 2019
- 2019
- [c3]Mohamed I. Ibrahim, Christopher Foy, Dirk R. Englund, Ruonan Han:
A Scalable Quantum Magnetometer in 65nm CMOS with Vector-Field Detection Capability. ISSCC 2019: 458-461 - 2018
- [c2]Bin Shi, Nicola Calabretta, Darius Bunandar, Dirk R. Englund, Ripalta Stabile:
WDM Weighted Sum in an 8x8 SOA-Based InP Cross-Connect for Photonic Deep Neural Networks. PSC 2018: 1-3 - [c1]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: 249-250 - [i2]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:
Photonic Recurrent Ising Sampler. CoRR abs/1811.02705 (2018) - [i1]Ryan Hamerly, Alex Sludds, Liane Bernstein, Marin Soljacic, Dirk R. Englund:
Large-Scale Optical Neural Networks based on Photoelectric Multiplication. CoRR abs/1812.07614 (2018) - 2015
- [j1]Catherine Lee, Jacob Mower, Zheshen Zhang, Jeffrey H. Shapiro, Dirk R. Englund:
Finite-key analysis of high-dimensional time-energy entanglement-based quantum key distribution. Quantum Inf. Process. 14(3): 1005-1015 (2015)
Coauthor Index
aka: Alexander Sludds
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last updated on 2024-10-18 20:26 CEST by the dblp team
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