Cavity photons screen attractive or repulsive interactions in a quantum-dot Kitaev chain, allowing the system to reach the sweet spot for poor man's Majorana bound states.
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cond-mat.mes-hall 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
A vision-transformer neural network trained unsupervised on synthetic conductance data proposes Hamiltonian parameter updates that drive quantum dot chains into the topological phase with Majorana modes, often succeeding in a single step.
citing papers explorer
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Poor man's Majorana bound states in quantum dot based Kitaev chain coupled to a photonic cavity
Cavity photons screen attractive or repulsive interactions in a quantum-dot Kitaev chain, allowing the system to reach the sweet spot for poor man's Majorana bound states.
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AI-enhanced tuning of quantum dot Hamiltonians toward Majorana modes
A vision-transformer neural network trained unsupervised on synthetic conductance data proposes Hamiltonian parameter updates that drive quantum dot chains into the topological phase with Majorana modes, often succeeding in a single step.