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,...

Regulation of Metal Bond Strength Enables Large-Scale Synthesis of Intermetallic Nanocrystals for Practical Fuel Cells

In recent years, fuel cells, as a clean and renewable energy technology, have garnered widespread attention. However, the extensive application of fuel cells faces the challenge of the stability of oxygen reduction reaction (ORR) electrocatalysts. L10-structured intermetallic nanocrystals (INCs) with chemically ordered structures, due to their lowe...

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...

Elucidating Chirality Transfer in Liquid Crystals of Viruses

Study on Chirality Transfer in Liquid Crystal Viruses Chirality is a phenomenon commonly found in nature and holds significant influence in various fields such as biology, chemistry, physics, and materials science. However, the mechanism of chirality transfer from nanoscale building blocks to macroscopic helical structures remains an unsolved myste...

Sliding Mode Control for Uncertain Fractional-Order Reaction-Diffusion Memristor Neural Networks with Time Delays

Application of Sliding Mode Control in Uncertain Fractional-Order Reaction-Diffusion Memristor Neural Networks In recent years, as neural networks have been widely applied in various fields, the research on their control and stability has gained increasing attention. Fractional-order (FO) memristor neural networks (MNNs), due to their ability to si...