We have assembled a strong team of researchers with complementary expertise to explore from multiple angles the quantum world. We are closely interconnected with respective knowledge. We investigate four major areas in quantum physics – quantum materials, quantum control, quantum devices, and quantum algorithm. Quantum materials provide the platform on which we store and compute quantum information. Quantum control focuses on manipulation of quantum states with novel light-matter interactions. Quantum devices are dedicated to investigating scalable, compact, and efficient platforms for complex quantum operations. Quantum software utilizes most advanced algorithms, including machine learning techniques, to extend the applications and achieve better performance of the quantum devices.
Quantum materials promise technological applications that range from quantum information and quantum sensing to energy-efficient electronic devices. Our research focuses on solid-state quantum materials and synthetic quantum matter. We investigate the phenomenon arising from the complex interplay of many-body electronic correlations with topology, magnetism and dimensionality and aim at designing quantum materials platforms with targeted properties on demand.
Quantum control is essential in quantum computation and communication. We are dedicated to various problems in photonic quantum manipulation, coherent dynamic control of quantum materials, quantum simulation, and quantum sensing. Our research explores light-matter interaction in diverse systems and targets on new generation of quantum simulators and sensors.
Rising need for complex operation on qubits has expedited the emergence of quantum devices. Our research involves metasurfaces, which provides superior manipulation on light, topological and hybrid solid-state qubits including trapped ions, magnons, and color centers. We are devoted to providing compact platform for quantum information processing with high efficiency.
Quantum software is used for optimal performance of quantum devices. Our research contains quantum algorithms, including quantum control, simulation algorithms, and quantum error correction, as well as quantum machine learning, which focuses on hybrid quantum-classical algorithms and neural network in quantum information processing. These algorithms will be applied to solve real-world problems in e.g. financial, pharmaceutical and manufacturing industry.