QIntern 2022 | The summer quantum internship program of QWorld.

QIntern is the summer quantum internship program of the QWorld Association, hosted by the QResearch Department. The goal of QIntern is to encourage and support collaborative work in quantum information science and technology, bringing together more experienced people (mentors) and those willing to learn more (interns).

In case of successful application, each intern is assigned to a project and gets involved in developing new software, education materials, or research results. The scope of the projects is broad and the mentors represent different areas of research and practice in the quantum world. Some internships may result in longer collaborations. 

QIntern 2022 | Your quantum internship at QWorld

Your quantum internship at QWorld 

QIntern 2022 will be a seven-week program from July 1 till August 22. As an intern, you will work remotely under the supervision of a mentor. QWorld will provide organizational support and communication platforms. Your internship will be an individual or a group project, depending on the topic and preferred mode of collaboration. In addition to acquiring new skills and professional experience, you will meet other interns and get acquainted with the QWorld community.
QIntern2022 is a program that will help you find the right way into the quantum ecosystem. 

See the interns’ publications from QIntern2021 edition

U. Azad, A. Lipińska, S. Mahato, R. Sachdeva, D. Bhoumik, R. Majumdar, Surface Code design for asymmetric error channel
Read the preprint >

Yash Wath, Hariprasad M, Freya Shah, Shashank Gupta, Eavesdropping a Quantum Key Distribution network using sequential quantum unsharp measurement attacks
Read the preprint >

Ashish Arya, Ludmila Botelho, Fabiola Cañete, Dhruvi Kapadia, Özlem Salehi, Music composition using quantum annealing
Read the preprint >

Check also other projects implemented in last year’s edition of internship program.

Quotes from participants from QIntern 2021

What is your opinion on the QIntern programme? QIntern is a unique opportunity to perform research breaking the barrier of physical distance. It allows students and mentors all over the world to meet and work on a project of interest. In QIntern 2021 I had the pleasure of working with some wonderful and bright students. I not only mentored them, but learned from them. We solved a problem of interest, which we are expecting to be published. It helped me gain experience on mentoring, added research experience and publication on my resume.
Ritajit Majumdar (Mentor)

What did you like most in QIntern 2021? It was an amazing experience in QIntern2021 as that was my first Internship. Was exposed to some amazing projects and ideas. Very good support and guidance from mentors. What I liked most about the internship is the projects that were showcased which is very innovative.
Tamal Acharya (Intern)

How was QIntern 2022 beneficial for your experience/knowledge/career? It helped me move forward research on solving routing problems using quantum computing, initiate new research directions, conduct new experiments, build a research team, prepare a quantum computing session at the Warsaw IT Days 2022 conference. Together with my team, we are still researching and working on publications (both scientific and popular science).
Paweł Gora (mentor)

Timeline for the quantum internship | QIntern 2022

  • 21 May: project proposal submission deadline
  • 24 May: official announcement of the list of projects
  • 25 May – 8 June: call for interns
  • 8 June: late project proposal submission deadline
  • 13 June – 26 June: recruitment phase
  • 1 July – 22 August: QIntern main part
  • 23 August and 24 August: mini-workshop for presenting the outcomes of projects

Get involved

If You are interested in mentoring a project or participating as an intern, please fill out the appropriate form below to join the event! Please make sure that you read and accept our rules available here. We would like to remind you that interns need to be at least 14 years old to participate in the event, and each minor (below 18) should send consent signed by his/her guardian available here to qintern [at] qworld.net.

The application form for interns>>

The application form for mentors >>

For any more information please contact us at qintern [at] qworld.net.


1. Project cancelled for reasons beyond QWorld’s control

2. QMap
Mentor: Abhishek Manhas (College of Wooster)
Project description: QMap is a project that was initiated in QIntern’21 under the mentorship of Mr. Zeki Seskir. The main motive of the project was to ‘bridge the gap’ between people by mapping the landscape of global quantum education. For this year, we plan to implement the next steps of the project which include Quantum Rotten Tomatoes, resources in different languages, improving the website and app, simplifying content on the website/app for new users, etc. keeping QMap in mind. Mr. Zeki Seskir will still be with us in an advisory capacity.
Requirements for Interns: 3 days per week, 3 days per week, Our primary activity is to focus on the long-term plans which would mainly require understanding and representation of data, good content writing and obviously having a basic understanding of our work, quantum computing and its reach or people good at web development (A bare minimum would be knowing HTML, CSS, and JavaScript, and if possible, experience with Node.js, Git, and Github though would be a plus). Though one doesn’t need to all have skills at once.

3. Quantum Natural Language Processing Approach to Music Compositional Intelligence
Mentor: Prateek Jain, Srinjoy Ganguly (Fractal.ai, Upm.es)
Project description: Project description: There has been tremendous progress in Artificial Intelligence (AI) for music, in particular for musical composition. It is a widely known that musicians and sound engineers rely a lot on various mathematical and scientific research to forage novel techniques which can help them to compose and generate novel music and sound patterns. In this project we will try to advance this field, focusing on composition. The project is one of the first unique project which is based on QNLP Approach to Music Compositional Intelligence. Since this is a very new field, the aim of this project will be to use available resources to make educational tutorials and materials. It is expected that students will be writing detailed coding tutorials and documentation for the execution of this project as well as get hands-on experience in using various platforms and software packages related to quantum computation for music. During the course of the project we will also try to find out a novel approach or technique using one or combination of DisCoCat, Tket, QNLP with possibility of publication.
Requirements for Interns: 5 days per week, Person should be Inquisitive, Passionate

4. Unraveling the gender diversity in Quantum Science and Tech
Mentor: Oxana Mishina (Italian National Institute of Optict – CNR, c/o SISSA)
Project description: TBA

5. Continuous variable quantum random number generators
Mentor: Shashank Gupta (Qnu Labs, India)
Project description: There are two categories of random number generators, 1. Pseudo random number generators (PRNGs) use mathematical algorithms to generate random numbers. 2. True random number generators (TRNGs) that utilizes physical phenomenon to generate random numbers. The major disadvantage with PRNGs is the initial seed that if known, one can predict the sequence of the generated numbers. Quantum phenomena being intrinsically random are used to generate random numbers. Such random number generators are called Quantum random number generators (QRNGs). Single-photon source and detectors are the essential requirement for the traditional QRNGs based on discrete variables making them expensive as well as lesser rate. However, the other approach based on continuous variables uses a coherent light source along with homodyne or heterodyne detectors for this purpose offering higher rate and being cost-effective. In this project, the objective is to design a new QRNG protocol based on continuous variables to further improve the rate and strengthen security.
Requirements for Interns: 1 day per week, Familiarity with random number generators, linear algebra, matrix operations

6. Pseudo Quantum random number generators using generalised permutation matrices
Mentor: Shashank Gupta (Qnu Labs)
Project description: Random number generators are mainly of two types – algorithmic or based on physical phenomena. True random number generators based on quantum phenomena are quantum resilient but are costly and not agile for diverse applications. Here we will look forward to develops some algorithmic quantum resilient random number generators using generalised permutation matrices.
Requirements for Interns: 1 day per week, Linear algebra, matrix operations, group theory

7. QuiZX: Quantum Computation with ZX Calculus using Rust Programming
Mentor: Srinjoy Ganguly, Prateek Jain (Fractal Analytics)
Project description: In quantum computing, the tasks which we want to accomplish are encoded in the form of quantum circuits and they are executed on real quantum hardware to achieve desired results. These quantum circuits are unitary in nature and therefore can be easily written in various forms by using different quantum gates or rewriting with different quantum gates to simplify them. The ZX calculus is a graphical mathematics technique which helps in the efficient optimization (by using rewrite rules of simplification) of quantum circuits by representing them in terms of diagrams which look like spiders. ZX calculus has its foundations laid in category theory and is now utilized by several quantum computing companies for QNLP, Quantum Compositional Intelligence, MBQC, quantum software design, quantum compilers, quantum OS, circuit optimization, etc. This project proposes the exploration of QuiZX, a ZX calculus package based on the Rust programming language translated from its Python counterpart PyZX because of the performance boost Rust can provide to various applications. It has been found that Rust provides 5000x speedup compared to PyZX! The primary purpose of this project is threefold: Learning the basics Rust programming language with proper technical reports in LaTeX, exploration of QuiZX to develop detailed documentation and coding tutorials for its various features using GitHub pages and benchmarking QuiZX and PyZX together. The final outcomes of the project involves having a website developed and a detailed technical report ready outlining the work carried out during the internship period.
Requirements for Interns: 5 days per week, Comfort in Python programming language is mandatory. Familiarity with Linear Algebra and Complex Numbers is important. Sincerity, dedication and enthusiasm towards quantum computing is highly encouraged.

8. N-Queens Solver Implementation for Optimization of Communication System by Qiskit
Mentor: Kuan-Cheng Chen (Imperial College London)
Project description: The N-queens problem is to find the position of N queens on an N by N chess board such that no queens attack each other. The excluded diagonals N-queens problem is a variation where queens cannot be placed on some predefined fields along diagonals. This variation is proven NP-complete and the parameter regime to generate hard instances that are intractable with current classical algorithms is known. We want to propose a special purpose quantum simulator that implements the excluded diagonals N-queens completion problem using atoms in an optical lattice and cavity-mediated long-range interactions. The implementation of this project has no overhead from the embedding allowing to directly probe for a possible quantum advantage in near term devices for optimization problems.
Requirements for Interns: 2 days per week, Basic Concept of Quantum Computing (quantum gates and algorithm), Basic Coding Skills on Python, Basic Concept of Quantum/Classical Communication

9. References to Quantum Technologies in Cultural Artefacts
Mentor: Zeki Seskir (KIT-ITAS)
Project description: Being referenced in cultural artefacts such as books, movies, games, and TV shows is an important indicator of the interest in and relevance of a technology to the society. Furthermore, the content and the context of the reference gives us insight into how the technology is perceived or envisioned by the public and creators of these cultural artefacts. In this regard, for this project we will be investigating how quantum technologies is covered by the mainstream cultural artefacts. We will investigate the references to QT in TV shows , mainstream games (like ANNO 2205, Stellaris, Call of Duty: Black Ops etc.), books, and movies. Although it may sound like just playing games and watching fun things, for the project we’ll ask the interns to employ coding techniques used for qualitative research in social sciences. This requires some initial training, so initially we’ll cover some qualitative research methods such as thematic analysis with the interns. The project requires some commitment by the interns, so please do not apply if you don’t have the time to read, write, attend meetings, and prepare presentations.
Requirements for Interns: 1 day per week, They should have at least above average command of the English language. Some familiarity and interest in popular culture, and cultural works. Commitment to the scientific rigor of and interest toward qualitative research methods employed in social sciences.

10. Understanding what makes quantum circuits difficult to simulate on classical machines
Mentor: Rajiv Krishnakumar (Goldman Sachs)
Project description: Typically when asked what is the reason quantum computers have a potential advantage over classical computers, most people (including myself) say that the concept of entanglement, which is unique to quantum systems, is a key component. However the Gottesman-Knill theorem proves that certain quantum circuits called “stabilizer circuits”, even some that produce highly entangled states, can be efficiently simulated on a classical computer. Another way of looking at these circuits is that they produce states with positive Wigner functions. Understanding the intuition behind what makes stabilizer circuits and positive Wigner function states easy to simulate (even those that lead to highly entangled states) can be useful in the path towards understanding what quantum algorithms could or couldn’t provide an advantage. As a first step, it would be useful to simulate very simple stabilizer circuits with classical (or probabilistic) circuits, to start to build some intuition. Then as we would like to go on to more complicated examples, we can read over the many previous works on this idea, including several papers discussing how to classically simulate these stabilizer circuits and even some software to do so. Currently, these works are phrased in the framework of understanding stabilizer circuits in the context of error correction or of creating probability distributions of positive Wigner functions. If we can then combine our intuition from the initial work with the insights from these papers/software packages, maybe we can find ways to think about stabilizers in terms of just purely classical simulations in a general and simpler way. This can either be in the theoretical direction, or in a more practical sense of implementing classical circuits/algorithms.
Requirements for Interns: 1 to 2 is probably reasonable, but since there are several possibilities to the scope, we can always adjust things based on their availability. days per week, 1 to 2 is probably reasonable, but since there are several possibilities to the scope, we can always adjust things based on their availability. A basic understanding of quantum circuits (both programming and the math behind them) would be a definite requirement. Then depending on what extra knowledge on stabilizer circuits, Wigner functions and the Stim simulator package the student has, we can work on more or less advanced topics. We would be meeting 1 day a week.

11. Survey of Quantum Research in India
Mentor: Jyoti Faujdar, Aritra Sarkar (C-DAC Mumbai, India)
Project description: The aim of the project is to build a comprehensive database of quantum related activities ongoing in India. This would allow various Indian and foreign stakeholders, like graduate students, investors, researchers, etc. to identify potential collaborators and engagements. The project will focus on a through survey of the landscape of Quantum research in India. This would include identifying research institutes, accomplished researchers, national and private funding, etc. The outputs will be compiled on the QIndia website and available publicly after the QIntern event. Interns who contribute considerably will be offered the position in QIndia to be the (co-)manager of that page after the QIntern, and will be acknowledged for their volunteering work.
Requirements for Interns: 2 days per week, The primary activity requires scouring the internet and creating a database under various categories. This requires a good deal of personal motivation towards the project, e.g. if you are searching where to apply for an internship yourself in India. Some basic concepts of quantum technologies are beneficial, e.g. distinguishing between a quantum hardware research group and a quantum algorithms group. And lastly, maybe there will be a requirement to officially contact a few parties, e.g. a research group or a company, to know more about what their focus is and/or who is leading the project, that a good command of English communication is necessary.

12. Integer factorization through QAOA
Mentor: Adam Glos, Özlem Salehi Köken (Algorithmiq; Institute of Theoretical and Applied Informatics, Polish Academy of Sciences)
Project description: QAOA is a well-known quantum optimization algorithm suitable for NISQ-era quantum computing. There have been attempts to solve the integer factorization problem which lies in the core of modern cryptography using variational quantum algorithms. In the scope of this project, we plan to propose a resource-efficient alternative representation for the integer factorization problem, with a particular focus on QAOA. We plan to summarize the results with an open-source code and a scientific publication.
Requirements for Interns: 3 days per week, Basic understanding of quantum optimization, including QUBO. Resonable python programming skills which includes qiskit programming language

13. Optimizing logistics using quantum computing
Mentor: Paweł Gora (Quantum AI Foundation)
Project description: This project will be a continuation and extension of a QIntern 2021 project aiming to solve the Vehicle Routing Problem and its variants using quantum computing. This time, we will consider new approaches (like local searches and higher-order formulations) and more logistics optimization problems. Scope: (1) Investigating optimization approaches based on local searches www.shorturl.at/mqBE3; (2) Investigating higher-order formulations for Capacitated Vehicle Routing Problem; (3) Designing QUBO formulations, running experiments with variants of QAOA, VQE and quantum annealing algorithms; (4) Review of logistics optimization problems – intern can review and summarize the existing approaches (Exploring Airline Gate-Scheduling Optimization Using Quantum Computers, Exploring quantum computing use cases for airlines, Airline scheduling problem, Quantum computing approach to railway dispatching and conflict management optimization on single-track railway lines, Optimizing train scheduling, Cargo optimization).
Requirements for Interns: 1 day per week, Knowledge of basics of quantum computing, programming in Python, ability to read and understand scientific papers and scientific terminology in the QC domain (e.g., for the local search topic, please check https://drive.google.com/file/d/1xivRK-HWS28ANuh2A8BbUzmCVp4eXUyj/view?usp=sharing ). Motivation to learn new things from the QC domain. Possibility to join weekly (online) meetings on Sundays at 13:00 CEST.

14. Quantum Computer Simulator for HPC
Mentor: Vivek Nainwal (C-DAC)
Project description: TBA

15. Quantum computing using photonics
Mentor: Anindita Banerjee (Centre for Development of Advanced Computing)
Project description: The quantum information processing and computing using photonics is an emerging area of realizing computation which has impactful success stories. Particularly, Gaussian Boson sampling (GBS) provides a highly efficient approach to make use of squeezed states from parametric down-conversion to solve a classically hard-to-solve sampling problem. A quantum manager will finally translate a problem to algorithm and would want to implement on such devices. We make an attempt to understand the simulator (if available) for such devices and discuss the challenges and opportunities for potential quantum applications using photonics quantum processor. We also delve into the problem of which kind of problem statements / hybrid algorithm would need quantum optical processor or is it not required at all. In this project we explore these aspects.
Requirements for Interns: 3 days per week, Basic knowledge of quantum computation and physics (Masters in Science, Bachelor in science)

16. Quantum Snake Game
Mentor: Marcin Domagała (Quantumz.io Sp. z o.o.)
Project description: The idea is to map Hamiltonian cycles onto the Ising spin-glass models, solve them with quantum annealers, and them incorporate solutions to play the classic snake game.
Requirements for Interns: 3 days per week, Knowledge about adiabatic quantum computing, ability to write readable code in Python, Julia or C/CPP, motivation to work in asynchronious environment.

17. Protein Folding using Quantum Computer
Mentor: V Raghavendra ()
Project description: Understanding the nature of folding of macromolecules like proteins, DNA and RNA is central to the problems in the fields of molecular bio-physics/chemistry, bioinformatics etc. Predicting the 3D structures of proteins is of paramount significance for efficient drug discovery, medicine, crop production and other biotechnology based applications. Although conventional methods make use of classical molecular modeling techniques such as molecular dynamics to understand the protein folding problem, the classical approach has its own limitations and the problem becomes almost intractable for real life macromolecules. With the onset of quantum revolution, we aim to use the state-of-the-art quantum computer and coarse grained based technique to efficiently predict the 3D structure of the proteins.
Requirements for Interns: 4 days per week, python, qiskit

Coordinators of the QIntern 2022

  • Adam Glos, adam.glos [at] qworld.net
  • Aritra Sarkar, aritra.sarkar [at] qworld.net
  • Oskar Słowik, oskar.slowik [at] qworld.net
  • ‪Zoltán Zimborás‬, zoltan.zimboras [at] qworld.net

You can contact us at qintern2022 [at] qworld.net.

QIntern Team of the QIntern 2022

  • Engin Bahri Baç
  • Nouhaila Innan
  • Vikram Ravindra Kadam
  • Shantanu Misra
  • Anand Nagesh
  • Yasir Ölmez