EDRS - Robotics, Control and Intelligent Systems

Archived courses (Moodle archive) :
Electronics for Quantum Computing.pdfElectronics for Quantum Computing.pdf

Quantum computing holds the promise to solve intractable problems using processors that exploit quantum physics concepts, such as superposition and entanglement. The core of a quantum processor, generally an array of qubits, needs to be controlled and read out by a classical processor operating on the qubits with nanosecond latency, several millions of times per second. Quantum sensing, communication, and metrology are using the same unique principles of quantum mechanics to sense quantities down to the quantum limit, transmit provably secure data, and measure with the best precision, accuracy, and resolution that physics principles allow.

All these techniques have in common the need to detect extremely weak signals involved in the process. Thus, ultra-low-noise, highly sensitive circuits and systems are needed, along with very precise timing capability. We advocate the use of CMOS technologies to achieve these goals, whereas the circuits will be operated at deep-cryogenic temperatures. We believe that these circuits, collectively known as cryo-CMOS circuits and systems, will enable quantum technologies to thrive. In particular, cryo-CMOS will make future qubit arrays scalable, enabling a faster growth of the qubit count. In quantum sensing, it will enable compact, reliable, and portable systems. In quantum communication, it will considerably simplify setups and maintain the promise of quantum security. In quantum metrology, it will pave the way to ubiquitous systems of measurement.

In the lecture, the challenges of modeling, designing, and operating complex circuits and systems at 4K and below will be outlined, along with preliminary results achieved in the control and read-out of qubits by ad hoc integrated circuits that were optimized to operate at low power in these conditions. We will also present what is currently being done to miniaturize quantum sensing and the principles of quantum metrology, with a perspective on the field as it matures. 

definition DOE course.pdfdefinition DOE course.pdf

This course is an introduction to DOE methodology

Students will be introduced to modern approaches in control and design of autonomous robots through lectures and exercises. The course is organized into 7 slots, one per day on a specific topic. Each slot is composed of 4 hours of lectures. The topic of one slot will change every year and be given by an invited world leader in that topic. Students will be assessed on the reports and oral presentations of the project or literature survey they will conduct during the semester.