On-Demand Orbital Angular Momentum Comb from a Digital Laser

Requirement for Orbital Angular Momentum Comb Modes in Digital Lasers Research Background and Significance With the rapid advancement of information technology, the demand for high-capacity data transmission has become increasingly stringent. Orbital angular momentum (OAM) of light, due to its inherently infinite dimensions, is considered a potenti...

Electrically Engineering Synthetic Magnetic Fields for Polarized Photons

Research Report: Electrically Controlled Engineering of Synthetic Magnetic Fields in Polarized Photons Academic Background and Research Purpose In recent years, synthetic gauge theory has shown its potential in controlling the propagation of light and its state evolution in non-magnetic photonic systems. However, the synthetic magnetic fields gener...

Long-baseline Quantum Sensor Network as Dark Matter Haloscope

Long-baseline Quantum Sensor Network as a Dark Matter Haloscope Academic Background Ultralight dark photons, as one of the significant candidates for dark matter, have attracted extensive theoretical and experimental attention. According to the kinetic mixing mechanism, when dark photons couple with standard model photons, coherent electromagnetic ...

Four-Channel Optically Pumped Magnetometer for a Magnetoencephalography Sensor Array

Four-Channel Optically Pumped Magnetometer for a Magnetoencephalography Sensor Array

Four-Channel Optically Pumped Magnetometer for MEG Sensor Arrays Background Optically Pumped Magnetometers (OPMs) operating in the Spin-Exchange Relaxation-Free (SERF) regime are highly sensitive magnetic field sensors, with sensitivities as low as 0.16 ft/√Hz and 0.54 ft/√Hz. OPMs are based on the interaction between spin-polarized atoms and magne...

Evidence for Electron–Hole Crystals in a Mott Insulator

Background In recent years, researchers have shown significant interest in electron-hole crystals within Mott insulators. These types of crystals can achieve quantum excited states, have the potential to support counterflow superfluidity and topological order, and possess long-range quantum entanglement characteristics. However, experimental eviden...

Non-thermal Phonon Dynamics and a Quenched Exciton Condensate Probed by Surface-Sensitive Electron Diffraction

Non-Thermal Phonon Dynamics and Excitonic Condensed States Probed by Surface-Sensitive Electron Diffraction Background Introduction The interaction between excitons and phonons determines the energy flow in photo-excited materials and controls the emergence of related phases. With the advancement of materials science, electron or X-ray pulse techni...

Quantum Coherent Spin in Hexagonal Boron Nitride at Ambient Conditions

Report on the Study of Quantum Coherent Spins in Hexagonal Boron Nitride at Room Temperature Introduction The realization of quantum networks and sensors requires solid-state spin-photon interfaces that possess single-photon emission capabilities and long-lived spin coherence, which can be integrated into scalable devices. Ideally, these devices sh...

Sweet-spot operation of a germanium hole spin qubit with highly anisotropic noise sensitivity

Sweet-spot operation of a germanium hole spin qubit with highly anisotropic noise sensitivity

Optimal Working Point of Heavy Hole Spin Qubit in Germanium and Its High Anisotropic Noise Sensitivity Background and Motivation The development of quantum computers holds great promise for solving complex problems. However, building a fault-tolerant quantum computer requires the integration of a large number of highly coherent qubits. Spin qubits,...

A Programmable Topological Photonic Chip

A Programmable Topological Photonic Chip

Research Progress on Programmable Topological Photonic Chips Research Background In recent years, topological insulators (TI) have garnered significant attention in the physics community due to their rich physical mechanisms and the potential applications of topological boundary modes, leading to rapid development in this field. Since the discovery...

Efficient Learning of Accurate Surrogates for Simulations of Complex Systems

This research proposes an online learning method for efficiently constructing surrogate models that can accurately emulate complex systems. The method consists of three key components: Sampling strategy for generating new training and testing data; Learning strategy for generating candidate surrogate models based on the training data; Validation me...