activity
20112025
most citedMachine-Learning-Assisted Metasurface Design for High-Efficiency Thermal Emitter Optimization

232 citations · 441 across the 14 of their papers we have counts for

collaborators

17 papers

quant-ph2025

End-to-end workflow for machine learning-based qubit readout with QICK and hls4ml

Giuseppe Di Guglielmo, Botao Du, Javier Campos +10

We present an end-to-end workflow for superconducting qubit readout that embeds co-designed Neural Networks (NNs) into the Quantum Instrumentation Control Kit (QICK). Capitalizing…

physics.optics2022★ 2 cited

Engineering the Temporal Dynamics with Fast and Slow Materials for All-Optical Switching

Soham Saha, Benjamin Diroll, Mustafa Goksu Ozlu +8

All optical switches offer advanced control over the properties of light at ultrafast timescales using optical pulses as both the signal and the control. Limited only by material r…

physics.optics2021

Optimizing Startshot lightsail design: a generative network-based approach

Zhaxylyk A. Kudyshev, Alexander V. Kildishev, Vladimir M. Shalaev +1

The Starshot lightsail project aims to build an ultralight spacecraft ("nanocraft") that can reach Proxima Centauri b in approximately 20 years, requiring propulsion with a relativ…

physics.optics2021

Efficient Topology Optimized Couplers for On-Chip Single-photon Sources

Omer Yesilyurt, Zhaxylyk A. Kudyshev, Alexandra Boltasseva +2

Room temperature single-photon sources (SPSs) are critical for the emerging practical quantum applications such as on-chip photonic circuity for quantum communications systems and…

physics.optics2021

Machine learning assisted quantum super-resolution microscopy

Zhaxylyk A. Kudyshev, Demid Sychev, Zachariah Martin +5

One of the main characteristics of optical imaging systems is the spatial resolution, which is restricted by the diffraction limit to approximately half the wavelength of the incid…

quant-ph2021★ 41 cited

Machine Learning Framework for Quantum Sampling of Highly-Constrained, Continuous Optimization Problems

Blake A. Wilson, Zhaxylyk A. Kudyshev, Alexander V. Kildishev +3

In recent years, there is a growing interest in using quantum computers for solving combinatorial optimization problems. In this work, we developed a generic, machine learning-base…

physics.app-ph2020

Lithography-free plasmonic color printing with femtosecond laser on semicontinuous silver films

Sarah N. Chowdhury, Piotr Nyga, Zhaxylyk A. Kudyshev +5

Plasmonic color printing with semicontinuous metal films is a lithography-free, non-fading, and environment-friendly method of generation of bright colors. Such films are comprised…

physics.optics2020★ 3 cited

Enabling optical steganography, data storage, and encryption with plasmonic colors

Maowen Song, Di Wang, Zhaxylyk A. Kudyshev +5

Plasmonic color generation utilizing ultra-thin metasurfaces as well as metallic nanoparticles hold a great promise for a wide range of applications, including color displays, data…

physics.optics2020

Extraordinarily Large Permittivity Modulation in Zinc Oxide for Dynamic Nanophotonics

Soham Saha, Aveek Dutta, Clayton DeVault +7

The dielectric permittivity of a material encapsulates the essential physics of light-matter interaction into the material's local response to optical excitation. Dynamic, photo-in…

physics.optics2020★ 1 cited

Machine learning assisted global optimization of photonic devices

Zhaxylyk A. Kudyshev, Alexander V. Kildishev, Vladimir M. Shalaev +1

Over the past decade, artificially engineered optical materials and nanostructured thin films have revolutionized the area of photonics by employing novel concepts of metamaterials…

physics.optics2019★ 232 cited

Machine-Learning-Assisted Metasurface Design for High-Efficiency Thermal Emitter Optimization

Zhaxylyk A. Kudyshev, Alexander V. Kildishev, Vladimir M. Shalaev +1

With the emergence of new photonic and plasmonic materials with optimized properties as well as advanced nanofabrication techniques, nanophotonic devices are now capable of providi…

physics.optics2019★ 113 cited

Negative refraction in time-varying, strongly-coupled plasmonic antenna-ENZ systems

V. Bruno, C. DeVault, S. Vezzoli +14

Time-varying metasurfaces are emerging as a powerful instrument for the dynamical control of the electromagnetic properties of a propagating wave. Here we demonstrate an efficient…

physics.optics2019★ 49 cited

Rapid classification of quantum sources enabled by machine learning

Zhaxylyk A. Kudyshev, Simeon Bogdanov, Theodor Isacsson +3

Deterministic nanoassembly may enable unique integrated on-chip quantum photonic devices. Such integration requires a careful large-scale selection of nanoscale building blocks suc…

physics.optics2019

Photonic topological phase transition on demand

Zhaxylyk A. Kudyshev, Alexander V. Kildishev, Alexandra Boltasseva +1

On-demand, switchable phase transitions between topologically non-trivial and trivial photonic states are demonstrated. Specifically, it is shown that integration of a 2D array of…

cond-mat.mtrl-sci2017

Temperature-dependent optical properties of plasmonic titanium nitride thin films

Harsha Reddy, Urcan Guler, Zhaxylyk Kudyshev +3

Due to their exceptional plasmonic properties, noble metals such as gold and silver have been the materials of choice for the demonstration of various plasmonic and nanophotonic ph…

physics.optics2015

Inhomogeneous All-Dielectric Magnetic Metamaterials

Jingbo Sun, Xiaoming Liu, Ji Zhou +2

Anomalous field enhancement accompanied by resonant absorption phenomenon was originally discussed in the context of plasma physics and in applications related to radio-communicati…

physics.optics2011

The effect of phase mismatch on second harmonic generation in negative index materials

Zhaxylyk Kudyshev, Ildar Gabitov, Andrei Maimistov

Second harmonic generation in negative index metamaterials is considered. Theoretical analysis of the corresponding model demonstrated significant difference of this phenomenon in…