Zobrazeno 1 - 10
of 187
pro vyhledávání: '"Wong, Stephan"'
Optical bistability and oscillating phases exist in a Sagnac interferometer and a single ring resonator made of $\chi^{(3)}$ nonlinear medium where the refractive indices are modulated by the light intensity due to the Kerr nonlinearity. An array of
Externí odkaz:
http://arxiv.org/abs/2403.00538
In the recent years, photonic Chern materials have attracted substantial interest as they feature topological edge states that are robust against disorder, promising to realize defect-agnostic integrated photonic crystal slab devices. However, the ou
Externí odkaz:
http://arxiv.org/abs/2402.10347
Autor:
Shahroodi, Taha, Cardoso, Raphael, Wong, Stephan, Bosio, Alberto, O'Connor, Ian, Hamdioui, Said
State-of-the-Art (SotA) hardware implementations of Deep Neural Networks (DNNs) incur high latencies and costs. Binary Neural Networks (BNNs) are potential alternative solutions to realize faster implementations without losing accuracy. In this paper
Externí odkaz:
http://arxiv.org/abs/2401.17724
With the recent move towards sequencing of accurate long reads, finding solutions that support efficient analysis of these reads becomes more necessary. The long execution time required for sequence alignment of long reads negatively affects genomic
Externí odkaz:
http://arxiv.org/abs/2310.15634
Autor:
Shahroodi, Taha, Singh, Gagandeep, Zahedi, Mahdi, Mao, Haiyu, Lindegger, Joel, Firtina, Can, Wong, Stephan, Mutlu, Onur, Hamdioui, Said
Basecalling, an essential step in many genome analysis studies, relies on large Deep Neural Networks (DNNs) to achieve high accuracy. Unfortunately, these DNNs are computationally slow and inefficient, leading to considerable delays and resource cons
Externí odkaz:
http://arxiv.org/abs/2310.04366
Nonlinear topological insulators have garnered substantial recent attention as they have both enabled the discovery of new physics due to interparticle interactions, and may have applications in photonic devices such as topological lasers and frequen
Externí odkaz:
http://arxiv.org/abs/2307.08374
Applications of Binary Neural Networks (BNNs) are promising for embedded systems with hard constraints on computing power. Contrary to conventional neural networks with the floating-point datatype, BNNs use binarized weights and activations which add
Externí odkaz:
http://arxiv.org/abs/2211.06261
Identifying phases and analyzing the stability of dynamic states are ubiquitous and important problems which appear in various physical systems. Nonetheless, drawing a phase diagram in high-dimensional and large parameter spaces has remained challeng
Externí odkaz:
http://arxiv.org/abs/2211.04373
A quantum emitter placed in a nanophotonic structure can result in non-reciprocal phenomena like chiral light excitation. Here, we present a theoretical model to couple circularly polarized emitters described by the density matrix formalism to the el
Externí odkaz:
http://arxiv.org/abs/2208.00879