Wigner-Function Fingerprints of Collective Excitations in Mirror-Terminated Waveguide QED
Kuan-Ting Lin, Chen-Yu Lee, Yu-Chen Lin, Ting Hsu, Guin-Dar Lin
Abstract
We investigate the emission profiles of singly excited collective states and propose a matched-mode witnessing protocol in a mirror-terminated waveguide quantum electrodynamics system. The amplitudes and relative phases of the initial collective excitation are encoded in the temporal mode of the emitted single-photon wavepacket, providing a route to state verification through the common waveguide output. We identify the emission mode associated with a chosen target state and employ an auxiliary virtual-cavity representation to evaluate the quantum state of this selected output mode. For a matched initial state, the selected mode contains the emitted single photon, whose Wigner function exhibits a pronounced non-classical negative dip, serving as a distinct fingerprint of the target many-body state. With the reference mode held fixed, different initial configurations yield different photon occupations and phase-space distributions, demonstrating the state selectivity of the protocol. These results connect collective-state verification with temporal-mode analysis of the emitted radiation, offering access to collective coherence with reduced reliance on qubit-resolved correlation measurements.
Create a lesson
Related papers
Using topology to reveal all mutually unbiased bases in dimension six
Mateo Cárdenes Wuttig, Joseph Tindall
Arithmetic Depth, Minimal Gate Alphabets, and Exact Program-State Resources for Single-Qubit Dyadic Programs
Tony Newton, Dan-Adrian German
Probing gravity at megahertz frequencies with levitated rotors
Matteo Fadel, Andrea Vinante
Optimal Holding Times for Entanglement Swapping
Van Sy Mai, Richard J. La, Abdella Battou
Quantum Algorithms for Molecular Response Functions: Resolvent Kernels, Time-Domain Sampling, Query Lower Bounds with Matched Single-Point Calibers, and a Six-Route Comparison
Yunlong Liu, Yujin Tang, Miao Xu et al.
GFlowQEC: Generative Flow Networks that Learn to Sample Quantum LDPC Codes
Nuno Batista, Gabriel Falcao, Penousal Machado