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CEA Grenoble invites a motivated Engineering student or researcher for an internship in superconducting electronics for quantum computing. You will explore SFQ technologies, cryo-CMOS, and AQFP while contributing to hardware/software co-design and simulations.
You’ll work within the LFIM lab, gain hands-on experience with JoSim and circuit design flows, and support preparation of a potential PhD thesis in a cutting-edge field.
Stage
Internship - Superconducting Electronics for Quantum Computing Applications - Grenoble-H/F
Internship/PhD: Superconducting Electronics (SFQ) for Quantum Computing
Explore innovative solutions for scaling quantum systems by studying qubit interfaces, digitization, and low-noise control. Join an ambitious project exploring cryo-CMOS, SFQ, AQFP and more for high-frequency performance and near-zero energy dissipation. A unique opportunity to work on critical challenges in quantum electronics.
As an intern at the CEA, you will have the opportunity to work within a world-renowned research environment. Our teams are composed of passionate and dedicated experts, offering a conducive framework for learning and collaboration. You will have access to state-of-the-art equipment and top-tier research resources to carry out your missions.
Context :
Within the Laboratory for System Integration and Technologies at CEA Grenoble, you will join a research team specializing in quantum technologies. You will be tasked with working on an innovative project related to the preparation of a PhD thesis on superconducting electronics for quantum computing.
What do we expect from you?
During this internship, you will be tasked with the following missions:
This internship does not require expertise in superconductivity at the start of the mission: you will be supported to build competencies in these technologies and tools.
This internship is a unique opportunity to immerse yourself in a cutting-edge field, working on critical challenges for the scaling of fault-tolerant quantum computing. You will be supervised by experts and have access to advanced simulation tools to explore innovative solutions.
Depending on your school's requirements, the subjects can be discussed.
#CEA-List
We are looking for a candidate with an engineering degree in physics, electronics, or microelectronics, or a master's degree in applied physics, quantum electronics, or nanotechnologies. Prior experience in circuit design (analog, digital, or RF) will be a major asset.
Desired Technical Skills :
Experience in data processing and numerical analysis (Python, MATLAB, or similar tools).
Strong foundation in applied mathematics (signal processing, physical modeling), with knowledge of quantum computing being appreciated.
Familiarity with circuit simulation tools (SPICE, LTspice, Cadence, or equivalents).
Knowledge of hardware description languages (HDL: Verilog, VHDL) for modeling digital systems.
Having studied superconductivity and/or the Josephson effect is a plus.
Prior experience in a cryogenic environment (low-temperature handling, device characterization) would be a true asset.
Personal Qualities :
Scientific curiosity and a taste for applied research.
Autonomy and the ability to synthesize complex information (literature review, state-of-the-art analysis).
Initiative to propose innovative solutions in an emerging field.
Rigor and organizational skills to manage a project at the interface between theory and experimentation.
This internship is aimed at candidates who are motivated by the technological challenges of quantum computing and wish to invest in a high-potential project, with the possibility of pursuing a PhD.
Grenoble
Grenoble
Oui
The Laboratory for Innovative Functions for Mixed-Signal Circuits (LFIM) is tasked with the study and design of digital and mixed-signal electronic circuits that meet requirements for energy efficiency, compact size, real-time operation, and operational reliability.
These circuits are applied in a wide range of systems and fields, such as high-performance computing architectures and low-power embedded systems—areas that now converge in the context of quantum computing, where a cryogenic environment imposes conflicting demands regarding performance and power dissipation.
The technologies developed within the laboratory leverage the latest advancements in nanoelectronics. The LFIM studies, designs, and integrates digital and mixed-signal processing architectures onto silicon to address application needs in areas including high-performance computing, the Internet of Things (IoT), radio-frequency (RF) circuits, and cyber-physical systems.