New quantum algorithms for old challenges: from quantum simulation to quantum error correction
In this talk, I will present our recent efforts on developing novel quantum algorithms to address longstanding challenges in quantum simulation, quantum error correction, and quantum chemistry. These progresses are made possible by leveraging the quantum embedding framework as well as a unified understanding for modern quantum algorithms via quantum signal processing. In addition to discrete-variable systems such as qubits, in the second part, I will present control protocols that harness continuous-variable bosonic modes to perform universal qudit-based quantum computation. I will also discuss future opportunities of these quantum algorithms and protocols for applications across engineering, physics, and chemistry such as quantum material design, quantum sensing, software-hardware co-design and beyond.
Yuan Liu grew up in Shaanxi province in China. He spent his undergraduate years at Tsinghua University majoring in Physics. After that, he finished his doctorate in Chemical Physics and a master's degree in Electrical Engineering from Brown University. Yuan is currently a postdoc in the Department of Physics and the Research Laboratory of Electronics (RLE) at MIT. He is broadly interested in the intersection of quantum information science, physics, and chemistry.