CUbit Quantum Seminar

TBA

Quantum metrology enables some of the world's most sensitive measurements with potentially far-reaching applications in the life sciences. Although the ultrahigh sensitivity of qubit sensors has sparked the imagination of researchers, implementing them in actual devices that enable monitoring cellular processes or detecting diseases remains largely elusive. Overcoming the limitations that hinder the broader application of quantum technology in the life sciences requires advances in both fundamental science and engineering.

Abstract: Piezoelectricity is the intrinsic cou

Abstract: It is well-known that interacting fermions are difficult to simulate on quantum computers because of the sign problem. It is less widely appreciated that simulations of models containing bosons can also be difficult—unless the hardware contains native bosonic degrees of freedom. The ability of superconducting quantum processors to control and make quantum non-demolition (QND) measurements of individual microwave photons is a powerful resource for quantum simulation, especially for simulation of condensed matter models and lattice gauge theories containing bosons.

Abstract: Tremendous progress is being made at silicon photonic foundries around the world to improve the performance, yield and capability of photonic integrated circuits (PICs) and that is opening up new markets, including quantum computing. These results will be described with an emphasis on integrating lasers to PICs and the improvements in laser and system performance that are possible.
 

Abstract: Polar molecules trapped in programmable optical tweezer arrays are an emerging platform for quantum science. In this talk, I will report our group’s work on advancing quantum control of molecular tweezer arrays and our first experiments on using these arrays for quantum information processing and simulation of quantum many-body Hamiltonians.I will first briefly present our work that establishes the essential building blocks for quantum science in this platform.

Forthcoming

Abstract: 

Abstract: Empirical evidence for a gap between the computational powers of classical and quantum computers has been provided by experiments that sample the output distributions of two-dimensional quantum circuits. Many attempts to close this gap have utilized classical simulations based on tensor network techniques, and their limitations shed light on the improvements to quantum hardware required to frustrate classical simulability.