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Dirk R. Englund
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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 - [i23]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) - [i22]Linsen Li, Pratyush Anand, Kaiming He, Dirk R. Englund:
Dynamic Inhomogeneous Quantum Resource Scheduling with Reinforcement Learning. CoRR abs/2405.16380 (2024) - [i21]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) - 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 2024-08-05 20:15 CEST by the dblp team
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