Quantum Spectroscopy and Quantum Computing

Seminar given by Wang Zhengjun, postdoctoral researcher at the Max Planck Institute for the Structure and Dynamics of Matter, Hamburg.

In this talk, Wang will focus on several cutting-edge topics in quantum computing and quantum spectroscopy that are currently being developed at the Max Planck Institute in collaboration with Oxford University.

They have recently proposed new theoretical frameworks for quantum spectroscopic techniques and developed novel quantum algorithms. Wang will introduce a new quantum two-dimensional spectroscopy technique, explaining how it can be experimentally realized to probe thermal states, squeezed states, and entangled characteristics in material systems.

In addition, he will present a new quantum algorithm based on compressed sensing theory, which can serve as a universal framework for quantum computation and provide potential advantages for quantum error correction, possibly paving the way for the practical realization of fast quantum computer.

Furthermore, Wang will discuss how these quantum computational theories and algorithms can be applied to solve challenging mathematical and physical problems, such as turbulence modeling in the 3D Navier–Stokes equations, which remains one of the hardest problems in classical physics. (Specifically, it is related to the Millennium Problem's Navier–Stokes existence and smoothness : https://en.wikipedia.org/wiki/Navier%E2%80%93Stokes_existence_and_smoothness.)

Finally, Wang will briefly touch upon the theory of superfluorescence and its connection with quantum optical correlations and computation.