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Found 12 papers, 0 papers with code
Learning imaging mechanism directly from optical microscopy observations
PiMAE outperforms DeepSTORM and the Richardson-Lucy algorithm in synthetic data tasks with an average improvement of 19. 6\% and 50. 7\% (35 tasks), respectively, as measured by the normalized root mean square error (NRMSE) metric.
Deep learning enhanced Rydberg multifrequency microwave recognition
Recognition of multifrequency microwave (MW) electric fields is challenging because of the complex interference of multifrequency fields in practical applications.
Topologically protected valley-dependent quantum photonic circuits
Topological photonics has been introduced as a powerful platform for integrated optics, since it can deal with robust light transport, and be further extended to the quantum world.
Quantum Physics Optics
Resource theory of imaginarity: Quantification and state conversion
Our study reveals the significance of complex numbers in quantum physics, and proves that imaginarity is a resource in optical experiments.
Quantum Physics
A high-sensitivity fiber-coupled diamond magnetometer with surface coating
Nitrogen-vacancy quantum defects in diamond offer a promising platform for magnetometry because of their remarkable optical and spin properties.
Applied Physics Quantum Physics
Einstein-Podolsky-Rosen Steering in Two-sided Sequential Measurements with One Entangled Pair
Non-locality sharing amongmultiple observers is predicted and experimentally observed.
Quantum Physics
A universal simulating framework for quantum key distribution systems
Our framework focuses on realistic characters of optical devices and system structures.
Quantum Physics Optics
Experimental realization of high-fidelity teleportation via non-Markovian open quantum system
Open quantum systems and study of decoherence are important for our fundamental understanding of quantum physical phenomena.
Quantum Physics
Device-independent verification of Einstein-Podolsky-Rosen steering
We first establish the DI verification framework, relying on the measurement-device-independent technique and self-testing, and show it is able to verify all EPR-steerable states.
Quantum Physics
Deep Hybrid Scattering Image Learning
A well-trained deep neural network is shown to gain capability of simultaneously restoring two kinds of images, which are completely destroyed by two distinct scattering medias respectively.
Reconstruction of a Photonic Qubit State with Reinforcement Learning
An experiment is performed to reconstruct an unknown photonic quantum state with a limited amount of copies.
Quantum Physics
Experimentally detecting a quantum change point via Bayesian inference
Detecting a change point is a crucial task in statistics that has been recently extended to the quantum realm.
