News : Leti

January 01 2023

Cryopenic control electronics dedicated to the control of a matrix of qubits

The recent improvements of quantum bits (qubit) based on electron spins pave the way towards their massive integration into the possible quantum processor of the future quantum computer. The individual biasing, manipulation and reading of particular qubits of the matrix is a key point that forges strong links between physicists and electronics engineers. More specifically, […] >>

January 01 2023

Experimental analysis of a new perovskite material for medical radiography: structural properties, doping, and electro-optical performances

X-rays is the most widely used medical imaging modality for the detection of pathologies, the monitoring of their evolution and during certain surgical procedures. The objective of this thesis is to study a new semiconductor material based on perovskites for direct X-ray detection. A thesis is running since October 2022 at CEA on the development […] >>

January 01 2023

Horizontal Magnetic Pulses and the Impact of Ultrafast Transient Current on Hardware Security of SoCs

Work carried out within the CEA-Leti has shown that physical attacks can be a threat to the security mechanisms of SoCs (System-On-Chips). Indeed, fault injections by electromagnetic disturbance have already led to an elevation of privileges by authenticating with an illegitimate password, or more recently have made it possible to circumvent one of the highest […] >>

January 01 2023

Energy efficiency and link security optimization by joint antenna processing and envelope reduction

The proposed research work is twofold: improving the energy efficiency of 5G/6G millimeter radio access network and securing radio links. Mixed solutions at the frontier between the definition of radio head architecture and signal processing algorithms will be proposed and assessed according to two criteria: the energy efficiency of the proposed solutions and the ability […] >>

January 01 2023

Neural Architecture Search for Binary Neural Networks on In-Memory Computing

Edge Artificial Intelligence and low-level Computer Vision is now massively deployed at the near-sensor level in order to further extend the capabilities of smart embedded imaging systems. This near-sensor intelligence typically allows 1000x gains by capping data transmission, thus improving energy efficiency. The In-Memory Computing (IMC) paradigm offers the opportunity to optimize processing architectures thanks […] >>
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