Zobrazeno 1 - 10
of 5 274
pro vyhledávání: '"Englund P"'
Autor:
Huang, Bevin, Arnault, Ethan G., Jung, Woochan, Fried, Caleb, Russell, B. Jordan, Watanabe, Kenji, Taniguchi, Takashi, Henriksen, Erik A., Englund, Dirk, Lee, Gil-Ho, Fong, Kin Chun
Single photon detectors (SPDs) are essential technology in quantum science, quantum network, biology, and advanced imaging. To detect the small quantum of energy carried in a photon, conventional SPDs rely on energy excitation across either a semicon
Externí odkaz:
http://arxiv.org/abs/2410.22433
Autor:
Vanackere, Tom, Hermans, Artur, Christen, Ian, Panuski, Christopher, Dong, Mark, Zimmermann, Matthew, Raniwala, Hamza, Leenheer, Andrew J., Eichenfield, Matt, Gilbert, Gerald, Englund, Dirk
Advancements in light modulator technology have been driving discoveries and progress across various fields. The problem of large-scale coherent optical control of atomic quantum systems-including cold atoms, ions, and solid-state color centers-prese
Externí odkaz:
http://arxiv.org/abs/2410.19058
The family of 2D layered semiconductors, including transition metal chalcogenides (TMCs) of the form MX (M=Ga, In; X=S, Se, Te) exhibit exceptional nonlinear optical properties. The energetically most favorable crystal ordering for nonlinear response
Externí odkaz:
http://arxiv.org/abs/2410.06218
Autor:
Greenspon, Andrew S., Dong, Mark, Christen, Ian, Gilbert, Gerald, Eichenfield, Matt, Englund, Dirk
Nanophotonic resonators are central to numerous applications, from efficient spin-photon interfaces to laser oscillators and precision sensing. A leading approach consists of photonic crystal (PhC) cavities, which have been realized in a wide range o
Externí odkaz:
http://arxiv.org/abs/2410.03851
The energy consumption of neural network inference has become a topic of paramount importance with the growing success and adoption of deep neural networks. Analog optical neural networks (ONNs) can reduce the energy of matrix-vector multiplication i
Externí odkaz:
http://arxiv.org/abs/2409.12305
Autor:
Tao, Max, Larocque, Hugo, Gyger, Samuel, Colangelo, Marco, Medeiros, Owen, Christen, Ian, Sattari, Hamed, Choong, Gregory, Petremand, Yves, Prieto, Ivan, Yu, Yang, Steinhauer, Stephan, Leake, Gerald L., Coleman, Daniel J., Ghadimi, Amir H., Fanto, Michael L., Zwiller, Val, Englund, Dirk, Errando-Herranz, Carlos
Detecting non-classical light is a central requirement for photonics-based quantum technologies. Unrivaled high efficiencies and low dark counts have positioned superconducting nanowire single photon detectors (SNSPDs) as the leading detector technol
Externí odkaz:
http://arxiv.org/abs/2409.08412
The scalability of many programmable photonic circuits is limited by the $2\pi$ tuning range needed for the constituent phase shifters. To address this problem, we introduce the concept of a phase-efficient circuit architecture, where the average pha
Externí odkaz:
http://arxiv.org/abs/2408.09673
Secure multiparty computation enables the joint evaluation of multivariate functions across distributed users while ensuring the privacy of their local inputs. This field has become increasingly urgent due to the exploding demand for computationally
Externí odkaz:
http://arxiv.org/abs/2408.05629
Up to 10% of memory-safety vulnerabilities in languages like C and C++ stem from uninitialized variables. This work addresses the prevalence and lack of adequate software mitigations for uninitialized memory issues, proposing architectural protection
Externí odkaz:
http://arxiv.org/abs/2407.08663
We present the first phase retrieval algorithm guaranteed to solve the multidimensional phase retrieval problem in polynomial arithmetic complexity without prior information. The method successfully terminates in O(N log(N)) operations for Fourier me
Externí odkaz:
http://arxiv.org/abs/2407.01350