Quantum & Computer Engineering
The department of Quantum and Computer Engineering (QCE) is one of the six departments in the faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) at Delft University of Technology. The QCE department research focuses on Computer and Network Architectures, with the ambition to keep its role as one of the top European research groups and to become one of the top research groups worldwide.
The research on Computer Architectures targets the invention, design, prototyping and demonstration of disruptive computing accelerators/engines by making use of unique features of emerging devices (quantum bits, memristors, spintronics, graphene, etc.), while mainly targeting energy-constrained low-granularity computing for a wide range of edge applications, including AI, such as personalized healthcare, smart environments and drones. QCE research adapts a holistic approach in which it addresses the whole computing engine design stack (i.e., technology, circuit design, architectures, compilers, algorithms and applications) in order to maximize the computing efficiency, the main focus is on the middle layers (circuit design, architectures and compilers). This research goes hand in hand with the research on the dependability aspects of such designs such as testability and design-for-testability, reliability, security, etc. QCE has two research sections performing research on Computer Architectures:
- Computer Engineering (CE) focusing on architectures related to neuromorphic computing, approximate computing, computation-in-memory, spin-wave computing, new hardware architectures for Artificial intelligence, big-data architectures, hardware dependability.
- Quantum Circuits, Architectures and Technology (QCAT) focusing on quantum computing, including the development of materials and integration techniques for quantum and classical components, the design of the electrical interfaces for quantum bits using Cryo-CMOS circuits/systems, and quantum architectures; it operates in close collaboration with QuTech.
The research on network architectures targets the design, the management, and the control of resilient and secure Complex Interdependent Critical Infrastructures (such as telecom, 5G, power grid, transportation, water, gas, banking, etc.) by exploiting Network Science and Artificial Intelligence. In QCE, ‘’Network Architectures and Services NAS” conducts research in the broad area of complex networks, ranging from man-made infrastructures such as data communications and energy networks, to biological, brain, social and financial networks.
18 November 2021
The Best Tech Idea of 2021: processor and memory in one
Said Hamdioui's 'computation-in-memory' is the Best Tech Idea of 2021 according to the jury of KIJK magazine. The jury praised Said's computer architecture for making numerous new innovations possible: "the Internet of Things requires large amounts of computers that all must be very energy-efficient. Memristors can be the basis for this and that makes this idea, however young, very important."
22 April 2021
European grant for TU Delft research into virus spread
The European Union has awarded TU Delft researcher Piet Van Mieghem an ERC Advanced Grant.
08 December 2020
Is it memory? Is it a processor? No, it’s both and super-efficient!
Emerging applications for Internet of Things devices – such as personalised healthcare, augmented reality and artificial intelligence – require vast computational power to be integrated into the device itself, but at only a fraction of the energy consumption attainable with current computer architectures. Researchers of the MNEMOSENE project# provided a proof-of-concept of an ultra-low power Computation-in-Memory architecture – a feat for which overall project leader Professor Said Hamdioui was recently presented the prestigious European Union ECS Innovation Award 2020.