activity
20122020
most citedMicrowave photonics with superconducting quantum circuits

1.3k citations · 1.4k across the 3 of their papers we have counts for

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18 papers · 1 filter

quant-ph2020

Classification and reconstruction of optical quantum states with deep neural networks

Shahnawaz Ahmed, Carlos Sánchez Muñoz, Franco Nori +1

We apply deep-neural-network-based techniques to quantum state classification and reconstruction. We demonstrate high classification accuracies and reconstruction fidelities, even…

quant-ph20202 cited

Synthesizing electromagnetically induced transparency without a control field in waveguide QED using small and giant atoms

Andreas Ask, Yao-Lung L. Fang, Anton Frisk Kockum

The absorption of photons in a three-level atom can be controlled and manipulated by applying a coherent drive at one of the atomic transitions. The situation where the absorption…

quant-ph2020

Tunable Chiral Bound States with Giant Atoms

Xin Wang, Tao Liu, Anton Frisk Kockum +2

We propose tunable chiral bound states in a system composed of superconducting giant atoms and a Josephson photonic-crystal waveguide (PCW), with no analog in other quantum setups.…

quant-ph2020

Engineering the Level Structure of a Giant Artificial Atom in Waveguide Quantum Electrodynamics

A. M. Vadiraj, Andreas Ask, T. G. McConkey +4

Engineering light-matter interactions at the quantum level has been central to the pursuit of quantum optics for decades. Traditionally, this has been done by coupling emitters, ty…

quant-ph2019

Quantum optics with giant atoms -- the first five years

Anton Frisk Kockum

In quantum optics, it is common to assume that atoms can be approximated as point-like compared to the wavelength of the light they interact with. However, recent advances in exper…

quant-ph2019

Deep Q-learning decoder for depolarizing noise on the toric code

David Fitzek, Mattias Eliasson, Anton Frisk Kockum +1

We present an AI-based decoding agent for quantum error correction of depolarizing noise on the toric code. The agent is trained using deep reinforcement learning (DRL), where an a…