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Software . 2026
License: CC BY
Data sources: Datacite
ZENODO
Software . 2026
License: CC BY
Data sources: Datacite
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PavelStransky/MulticomponentCat: Code for the paper on the multicomponent Schrödinger cat states

Authors: Pavel Stránský;

PavelStransky/MulticomponentCat: Code for the paper on the multicomponent Schrödinger cat states

Abstract

Code accompanying the publication: P. Stránský, P. Cejnar, Creating multicomponent Schrödinger cat states in a coupled qubit-oscillator system, Physical Review A (2026). Abstract: We present a method for preparing various exotic modifications of Schr{"o}dinger cat states by coupling a semiclassical oscillator to a system of qubits. Varying the number of qubits and parameters of the protocol (involving quantum quench of the coupled system and a subsequent spin measurement), we bring the oscillator into a coherent superposition composed of an arbitrary number of wavepackets in tunable proportions and motion relations. The method can be implemented with the aid of current experimental techniques and may find applications in quantum information and sensing protocols. Dependencies: Python 3.x, Julia 1.12.x, NumPy, DifferentialEquations.jl, QuantumOptics.jl Description and usage: See README.md

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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Average