Courses

I aid(ed) in the development and delivery of the following courses:

Ongoing

Past

Supervision

Doctoral research co-supervision

Ongoing

  • Matthew Steinberg - Efficient quantum error correction codes
  • Alan Yu - Machine learning based gate set tomography
  • Nikiforos Paraskevopoulos - Compiler and design space exploration of spin qubit processors
  • Medina Bandic - Quantum circuit mapping
  • Arne Wulff - Quantum algorithms for aerospace material design
  • Koen Mesman - Quantum algorithms for aerospace material design

Past

  • Anna Maria Krol - High-performance quantum compiler for parametric circuits
  • Hongfeng Zhang - Quantum algorithms for bioinformatics
  • Delphine De Smedt - Quantum algorithms for satellite image processing
  • Kourosh Sayar Dogahe - High-impact applications of quantum computational chemistry
  • Yassine Ferjani - Quantum security protocols for industrial use-cases

Master thesis supervision

I am(was) involved in proposing the topics, quantum computing technicalities, and/or guiding the research methodology for the following theses:

Ongoing

  • Mark Cilissen - an expressive pulse-programming language for quantum control
  • Sebastiaan Fauquenot - energy-efficient quantum optimal control
  • Sibasish Mishra - a resource theory of quantum algorithmic information
  • Deepika Rajan - automated discovery of quantum error-correction codes
  • Joris Henstra - reinforcement learning for quantum circuit mapping on NISQ processors
  • David Hamel - automated design space exploration of spin qubit processors

Past

Project guidance and evaluation

I was involved in the weekly brainstorming sessions and part of the graduation defense committee for:

Bachelor project supervision

I was involved in proposing the topics, quantum computing technicalities, and/or guiding the research methodology for the following theses:

  • Neil Eelman - Bachelor co-op from Drexel University, USA, involved programming useful primitives within variational quantum algorithms, like `Quantum State Tomography and Quantum Assisted Quantum Compilation on OpenQL’. This enabled me to implement VQE on OpenQL, which was later optimised and made into a native compiler feature by Anneriet as part of her Ph.D. research.

Presentations and Videos

  • Quantum Computing and Artificial Intelligence
    • 2023-12-01: Invited Talk at URSC, ISRO
  • Quantum Algorithm Design Automation: Introduction and Overview
    • 2023-09-22: IEEE Quantum Week Workshop
  • Quantum Circuit Probability
    • 2023-05-29: Quantum Science Days
  • Automated Quantum Software Engineering: Why? What? How?
    • 2022-12-01: Quantum Flanders Meet
  • Machine Learning for Quantum Computation
    • 2022-09-22: IEEE Quantum Week Tutorial
  • QKSA: Quantum Knowledge Seeking Agent
    • 2022-08-21: AGI-22 Technical Paper Presentations
  • Quantum Computing: Emerging Areas
    • 2022-06-30: Expert Talk at Bennett university
  • Quantum Computing: Emerging Areas
    • 2022-06-30: Expert Talk at Bennett university
  • An interdisciplinary introduction to Quantum Computation
    • 2021-06-19: Qoffee o’Clock by QIndia
  • Quantum Computing - Towards the second quantum revolution
    • 2021-01-09: Webinar by IIST Alumni Association, India
  • Navigating the landscape of NISQ algorithm development
    • 2020-11-04: Lecture for Quantum Entrepreneurship Laboratory by Push Quantum
  • Quantum-accelerated genomics - prospects and impacts
    • 2020-07-14: MeetUp by Quantum for Healthcare, UK
  • QX Simulator and quantum programming
    • 2020-04-28: Electronics for Quantum Computing lecture at TU Delft
  • Genomics algorithms on digital NISQ accelerators
    • 2019-01-25: at Universitat Politècnica de València, Spain
  • HiPEAC’19 Tutorial on Quantum algorithms using QX
    • 2019-01-23: at València, Spain
  • Quantum algorithms for pattern matching in genomic sequences
    • 2018-06-22: M.Sc. thesis defence at TU Delft

Comments and discussions