Courses

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

• Electronics and Computer Engineering for Quantum Information Science and Technology at TU Delft 2023-24
• Modelling, Algorithms and Data Structures at TU Delft 2022-23, 2023-24
• Quantum Computing: Architecture and Algorithms at Ghent University 2023-24
• Quantum Computation, Algorithms and Programming at QBee 2022-23
• Supercomputing for Big Data at TU Delft 2022-23
• Quantum Entrepreneurship Laboratory at the University of Munich from PushQuantum 2020-21
• Quantum Machine Learning at edX from University of Toronto 2020-21
• Quantum Computing Architecture and Electronics at TU Delft 2018-19, 2019-20
• Advanced Computer Architecture at University of Porto 2020-21

Supervision

I (co)-supervised the following bachelor, masters and doctoral projects while I was at TU Delft.

Doctoral research co-supervision

• 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
• Anna Maria Krol - High-performance quantum compiler for parametric circuits
• Arne Wulff - Quantum algorithms for aerospace material design
• Koen Mesman - Quantum algorithms for aerospace material design
• 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:

• Mark Cilissen
  • Master’s thesis on `An expressive pulse-programming language for quantum control’ at QBlox
• Joris Henstra
  • Master’s thesis on `Reinforcement learning for quantum circuit mapping on NISQ processors’ at TU Delft
• Shubing Xie
  • Master’s thesis on Quantum Circuit Decompiler: Pattern Recognition of Quantum Circuits By Genetic Algorithm at Leiden University
  • Now at Aramco, the Netherlands
• Sibasish Mishra
  • Master’s thesis on `Dictionary-based Energy-efficient Coding of Quantum Instruction Set guided by Algorithmic Information’ at TU Delft
  • Now at Orange Quantum Systems, the Netherlands
• Sebastiaan Fauquenot
  • Master’s thesis on `Energy Efficient Universal Quantum Optimal Control’ at TU Delft
  • Now at Google, Ireland
• Deepika Rajan
  • Master’s thesis on `Automated Discovery of Quantum Error Correction Codes’ at Indian Institute of Space Science and Technology
  • Now at Creed&Bear, UAE
• David Hamel
  • Master’s thesis on `ArtA: Artificial Architect - Automating Design Space Exploration of Spin Qubit Architectures using Optimization Methods’ at TU Delft
  • Now at QuantWare, the Netherlands
• Boran Apak
  • Master’s thesis on `KetGPT: creating realistic looking quantum circuits using Transformers’ at TU Delft
• Sacha Szkudlarek
  • Master’s thesis on `Determining Minimal SWAP Operations for the Qubit-Mapping Problem using Quantum Information Theory’ at TU Delft
  • Now at TU Delft
• Luís Ricardo Matos Mendes
  • Master’s thesis on `Scalable Parallelization of Quantum Computing Simulations’ at the University of Porto
• Duarte Frazão
  • Master’s thesis on `Quantum Algorithms for Portfolio Management’ at the University of Porto
• João Lourenço Teixeira Vieira
  • Master’s thesis on `A Generic Micro-Architecture for Quantum Accelerators’ at the University of Porto
• Ravish Budhrani
  • Master’s thesis on `QuantumSim - A memory efficient quantum computing simulator’ at TU Delft
  • Now at QuTech
• Karthik Krishnakumar
  • Master’s thesis on `Distributed Quantum Circuit Simulation’ at Birla Institute of Technology and Science
  • Now at Qulabs
• Anna Maria Krol
  • Master’s thesis on `Unitary Decomposition - Implemented in the OpenQL programming language for quantum computation’ at TU Delft
  • Now at TU Delft

Project guidance and evaluation

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

• Smaran Adarsh - `Resource Optimal Executable Quantum Circuit Generation Using Approximate Computing’.
• Koen Mesman - `QPack: QAOA as scalable application-level quantum benchmark’.
• Huub Donkers - `QPack: A cross-platform quantum benchmark-suite: Quantitative performance metrics for application-oriented quantum computer benchmarking’

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

• Challenges in Quantum Compilation and Algorithms
  • 2024-11-05: Guest Lecture at Korea Advanced Institute of Science & Technology, Daejeon
• Challenges in Quantum Compilation
  • 2024-10-18: Qiskit Fall Fest at Indian Institute of Technology, Kharagpur
• AutoQC: Automated Quantum Computing
  • 2024-06-10: Seminar at Indian Institute of Science
• Optimal Quantum Firmware Design
  • 2024-02-28: QuTech360 Talk
• 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