Superconducting quantum circuits are one of the leading quantum computing platforms. To advance superconducting quantum computing to a point of practical importance, it is critical to identify and address material imperfections that lead to decoherence. In this talk, I will show how terahertz Scanning Near-field Optical Microscopy (SNOM) can be used to probe functional devices such as coplanar microwave resonators and inform the processing of new materials for quantum technology.
In this article, we report our work on the development of a non- invasive, rapid, robust, and high-fidelity technique that can be used to discriminate between genetic variants. Our study focused on terahertz (THz) spectroscopy and imaging to distinguish between genetic variants of the Allium genus rapidly and accurately. This was done by measuring the cellular water dynamics of the samples by measuring their evaporation profiles using Laser Feedback Interferometry (LFI) with THz Quantum Cascade Lasers (QCL). The evaporation profiles of the samples were then processed to create trajectories in the amplitude-phase domain, which correlated with cell age, cell type, and the amount of water bound to biomolecules. This technique can differentiate between the members of the Allium genus. The presence of outliers was also studied to determine the effectiveness of the technique for different samples and to negate external influence. This was done to discern the extent of influence of cell biomechanics and biochemistry between genetic variants. We found that within a genus, different species would have different degree of interaction between cellular water and cell biochemistry, which could be clearly mapped out using THz-QCL-based LFI. Based on our observations, we propose that this method could be appropriate for observing minute alterations in cellular water dynamics in real-time, and in the future, has the potential to be employed for rapid and effective genetic discrimination in agricultural and genome conservation applications.
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