Full stack development toward a trapped ion logical qubit

Quantum error correction is a key step toward the construction of a large-scale quantum computer, by preventing small infidelities in quantum gates from accumulating over the course of an algorithm. Detecting and correcting errors is achieved by using multiple physical qubits to form a smaller number of robust logical qubits. The physical implementation of a logical qubit requires multiple qubits, on which high fidelity gates can be performed. The project aims to realize a logical qubit based on ions confined on a microfabricated surface trap. Each physical qubit will be a microwave dressed state qubit based on 171Yb+ ions. Gates are intended to be realized through RF and microwave radiation in combination with magnetic field gradients. The project vertically integrates software down to hardware compilation layers in order to deliver, in the near future, a fully functional small device demonstrator. This thesis presents novel results on multiple layers of a full stack quantum computer model. On the hardware level a robust quantum gate is studied and ion displacement over the X-junction geometry is demonstrated. The experimental organization is optimized through automation and compressed waveform data transmission. A new quantum assembly language purely dedicated to trapped ion quantum computers is introduced. The demonstrator is aimed at testing implementation of quantum error correction codes while preparing for larger scale iterations.Open Acces

The zebrafish as a model for nociception studies

Nociception is the sensory mechanism used to detect cues that can harm an organism. The understanding of the neural networks and molecular controls of the reception of pain remains an ongoing challenge for biologists. While we have made significant progress in identifying a number of molecules and pathways that are involved in transduction of noxious stimuli, from the skin through the sensory receptor cell and from this to the spinal cord on into the central nervous system, we still lack a clear understanding of the perceptual processes, the responses to pain and the regulation of pain perception. Mice and rat animal models have been extensively used for nociception studies. However, the study of pain and noiception in these organisms can be rather laborious, costly and time consuming. Conversely, the use of Drosophila and Caenorhabditis elegans may be affected by the large evolutionary distance between these animals and humans. We outline here the reasons why zebrafish presents a new and attractive model for studying pain reception and responses and the most interesting findings in the study of nociception that have been obtained using the zebrafish model