Quantum Feature Maps for Graph Machine Learning on a Neutral Atom Quantum Processor

Using a quantum processor to embed and process classical data enables the generation of correlations between variables that are inefficient to represent through classical computation. A fundamental question is whether these correlations could be harnessed to enhance learning performances on real datasets. Here, we report the use of a neutral atom quantum processor comprising up to $32$ qubits to implement machine learning tasks on graph-structured data. To that end, we introduce a quantum feature map to encode the information about graphs in the parameters of a tunable Hamiltonian acting on an array of qubits. Using this tool, we first show that interactions in the quantum system can be used to distinguish non-isomorphic graphs that are locally equivalent. We then realize a toxicity screening experiment, consisting of a binary classification protocol on a biochemistry dataset comprising $286$ molecules of sizes ranging from $2$ to $32$ nodes, and obtain results which are comparable to those using the best classical kernels. Using techniques to compare the geometry of the feature spaces associated with kernel methods, we then show evidence that the quantum feature map perceives data in an original way, which is hard to replicate using classical kernels

Pressure control system

This report is a description of the main project I worked on this sum- mer at CERN, in ALPHA group. It consist in a development of a system to control the pressure inside a cryostat which contains He liquid and an atmosphere of He. The control elements are valves and heaters in order to boyle the liquid He and increase the pressure. Opening and closing the valves can increase or decrease the pressure. Based on these devices we propose ideas and partial implememtation of these ideas to reach the goal. These project is divided in two main parts: software and hardware designs. Only the hardware was implmented. The software was partially studied

Systematic effects in strontium optical lattice clocks

International audienc

Systematic effects in strontium optical lattice clocks

International audienc

Sr optical lattice clocks at LNE SYRTE: metrology, quantum technologies, and fundamental physics

International audienc

Sr optical lattice clocks at LNE SYRTE: metrology, quantum technologies, and fundamental physics

International audienc

Strontium optical lattice clocks at LNE-SYRTE

International audienc

Strontium optical lattice clocks at LNE-SYRTE

International audienc

Non-destructive detection in 87Sr optical lattice clocks

International audienc

Systematic uncertainties in strontium optical lattice clocks

International audienceCurrent optical clocks have already overcome theperformances of microwave standard clocks and now reach the10e−18 uncertainty. Their sensitivity to systematic effectsis enhanced in turn, so constant efforts are needed to completeand improve evaluations of uncertainty and inaccuracy. Wepresent here non-exhaustive investigations of systematic effects tobe included in the uncertainty budget of strontium optical latticeclock, due to the black-body radiation, the presence of the la