Assistant professor in large-scale photonic circuits for quantum information processing and quantum computing

Updated: about 1 hour ago
Deadline: 02 Oct 2021

Disruptive Computing Engines will enable revolutionary developments in science and society that require far greater and more efficient computing power than currently available. For instance, while future quantum computers promise to solve problems that are intractable for even today's most powerful supercomputers, small and intermediate-scale quantum processors can already run small quantum algorithms. As another example, neuromorphic computing will be orders of magnitude more energy-efficient, as necessary for applications such as edge AI and personalised medicine.

The mission of TU Delft’s Quantum and Computer Engineering (QCE) department is to invent, design, prototype and demonstrate the potential of disruptive computing engines by harnessing unique features of emerging devices, e.g., qubits, memristors, spintronics, and graphene. Building such computing engines requires a full-stack interdisciplinary approach, encompassing fabrication and operation of qubits, electronic circuit design, micro-architecture, programming models, compilers and simulator platforms.

QCE's research encompasses a broad range of applications, integrating multiple layers of the stack:

  • The computing and network architecture, including AI-oriented architectures, quantum architectures, neuromorphic architectures, computation-in-memory architectures, big-data architectures and secure architectures.
  • The interface to the technology, including cryo-CMOS circuit design, memristive-based and graphene-based circuit design, and test and reliability of integrated circuits.
  • Related programming and support flow such as compilers, mapping tools and simulators.

To make quantum computing a reality, QCE is collaborating with QuTech, the worldwide leading research centre on Quantum Technology, Computing and Internet founded by TU Delft and the Netherlands Organisation for Applied Scientific Research (TNO). Together, they are working intensively on developing, designing and prototyping scalable quantum computing engines based on different quantum technologies. Such technologies include superconducting qubits, spin-based qubits, Nitrogen-Vacancy (NV) centres in diamond and topological qubits.

QCE is inviting applications for an assistant professor in large-scale photonic circuits for quantum information processing and quantum computing. In this position, you will focus on the development of large-scale photonic circuits for color centres in diamonds as essential parts of quantum computing engines. The research is envisaged to include topics such as:

  • Single-photon detector array
  • On-chip cryogenic optical switches
  • Design, fabrication and characterisation of photonic circuits for quantum information processing
  • Large-scale photonic circuits for machine learning

You will also collaborate on circuits, architectures and compilers for other emerging computing platforms and actively participate in multidisciplinary collaboration with colleagues within QCE as well as within QuTech, QuTech's Quantum Internet division and the QuTech-Fujitsu partnership.

In this role, you will contribute to developing and teaching nanoelectronics and photonics courses and educational programmes at BSc and MSc level.


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