First on-chip quantum memory in erbium-doped thin-film lithium niobate stores telecom time-bin qubits for 400 ns with 1.95% efficiency and 96.8% fidelity, exceeding the classical limit.
Title resolution pending
3 Pith papers cite this work. Polarity classification is still indexing.
3
Pith papers citing it
fields
quant-ph 3representative citing papers
Entanglement improves classification accuracy in distributed quantum ML tasks across datasets, but excessive amounts degrade performance by reducing effective parameter dimension.
Noiseless linear amplification and attenuation improve average teleportation fidelity by up to 78% and increase the quantum advantage in superdense coding by more than 100% in some loss regimes, with optimal POVMs reducing to these operations.
citing papers explorer
-
Storage of telecom-band time-bin qubits in thin-film lithium niobate
First on-chip quantum memory in erbium-doped thin-film lithium niobate stores telecom time-bin qubits for 400 ns with 1.95% efficiency and 96.8% fidelity, exceeding the classical limit.
-
The power of entanglement in distributed quantum machine learning
Entanglement improves classification accuracy in distributed quantum ML tasks across datasets, but excessive amounts degrade performance by reducing effective parameter dimension.
-
Utility of noiseless linear amplification and attenuation in single-rail discrete-variable quantum communications
Noiseless linear amplification and attenuation improve average teleportation fidelity by up to 78% and increase the quantum advantage in superdense coding by more than 100% in some loss regimes, with optimal POVMs reducing to these operations.