activity
20172026
most citedQuantum wave mixing and visualisation of coherent and superposed photonic states in a waveguide

36 citations · 148 across the 14 of their papers we have counts for

collaborators

13 papers

quant-ph2026

Sideband fingerprints of antibunched light in cascaded quantum wave mixing

R. D. Ivanovskikh, W. V. Pogosov, A. A. Elistratov +5

Quantum wave mixing on a single superconducting qubit produces a hierarchy of coherent side peaks associated with elastic multiphoton scattering pathways. In a cascaded source--pro…

quant-ph2024★ 2 cited

Direct experimental observation of sub-poissonian photon statistics by means of multi-photon scattering on a two-level system

A. Yu. Dmitriev, A. V. Vasenin, S. A. Gunin +4

A cascade of two-level superconducting artificial atoms -- a source and a probe -- strongly coupled to a semi-infinite waveguide is a promising tool for observing nontrivial phenom…

quant-ph2023★ 1 cited

Evolution of coherent waves driving a single artificial atom

A. V. Vasenin, Sh. V. Kadyrmetov, A. N. Bolgar +2

An electromagnetic wave propagating through a waveguide with a strongly coupled superconducting artificial two-level atom exhibits an evolving superposition with the atom. The Rabi…

quant-ph2023★ 1 cited

Quantum theory of wave mixing on a two-level system

A. A. Elistratov, S. V. Remizov, W. V. Pogosov +2

We apply the scattering matrix formalism to wave mixing on a quantum two-level system. We carry out the fermionization of the two-level system degrees of freedom using the Popov-Fe…

quant-ph2023

Kinemon: inductively shunted transmon artificial atom

Daria Kalacheva, Gleb Fedorov, Julia Zotova +4

We experimentally investigate inductively shunted transmon-type artificial atoms as an alternative to address the challenges of low anharmonicity and the need for strong charge dis…

quant-ph2023★ 12 cited

Hybrid quantum learning with data re-uploading on a small-scale superconducting quantum simulator

Aleksei Tolstobrov, Gleb Fedorov, Shtefan Sanduleanu +11

Supervised quantum learning is an emergent multidisciplinary domain bridging between variational quantum algorithms and classical machine learning. Here, we study experimentally a…