QIntern2026 will run in the summer of 2026

QIntern2026 will run in the summer of 2026

Are you interested in the future of computing and technology? Do you want to be a part of the quantum computing revolution? If so, you won’t want to miss QIntern 2026 – the premier summer quantum project internship program of the QWorld Association, hosted by the QResearch Department.

QIntern 2026 will bring together some of the brightest minds in the field for an intensive online internship program. Whether you’re a student, a recent graduate, or a working professional looking to gain hands-on experience in quantum information science and technology, this event is the perfect opportunity for you.

During QIntern 2026, as an intern, you’ll work on cutting-edge quantum computing projects alongside experienced professional mentors and learn about the latest advancements in the field. You’ll gain valuable experience and connect with other like-minded individuals while also having the chance to interact with academia and industrial experts.



QIntern 2026 | Your quantum internship at QWorld

Your quantum internship at QWorld 


The event will be held over several weeks, allowing you to immerse yourself in the world of quantum computing and develop your skills in a supportive and collaborative environment. You’ll have the opportunity to work on real-world problems and gain practical experience to help you stand out in your future career.

So don’t miss out on this unique opportunity to explore the fascinating world of quantum and develop your skills. Keep an eye on this website for registration details for QIntern 2026.

Take the first step towards an exciting and rewarding career in quantum computing!


Publications from past QIntern events

Check also the other projects implemented in past editions of the internship program for 2020, 2021, 2022, 2023, and 2024.


Quotes from participants of past QIntern events

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, 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 in mentoring, added research experience and publication on my resume.
Ritajit Majumdar (Mentor)

What did you like most about QIntern?

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 beneficial for your experience/knowledge/career?

It helped me move forward with research on solving routing problems using quantum computing, initiate new research directions, conduct new experiments, build a research team, and prepare a quantum computing session at the Warsaw IT Days 2023 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 2026

  • 19 April – 19 May – project proposal submission
  • 19 May – project proposal submission deadline
  • 26 May – official announcement of the list of projects
  • 28 May – 10 Jun – call for interns
  • 12 Jun – 25 Jun – recruitment phase
  • 01 Jul – 15 Aug – QIntern 2026
  • 16 Aug – 17 Aug – mini-workshop for presenting the outcomes of projects

Sign up today

Sign up for intern recruitment:
https://forms.gle/kqJABYfRNXGYkdqE8

For any more information, don’t hesitate to get in touch with us at:
qintern [at] qworld.net


List of Projects for 2026

qi26_01
Benchmarking QSVT-Based Matrix Inversion with Structure-Aware Block Encodings
Mentor(s): Viraj Dsouza

qi26_02
Benchmarking Efficient LCU Decompositions of Laplacian matrices for VQLS
Mentor(s): Viraj Dsouza

qi26_03
Resource-Aware Quantum Routing in Quantum Networks
Mentor(s): Haris Ansari

qi26_04
Design of Quantum-Anamorphic Encryption Against Coercive Surveillance
Mentor(s): Soumyadev Maity; Deep Raman

qi26_05
Simulated Entanglement-Inspired Communication for Federated Quantum Machine Learning Systems
Mentor(s): Ioannis Theodonis; Nouhaila Innan

qi26_06
Solving routing problems using quantum annealing
Mentor(s): Paweł Gora

qi26_07
QTagger+: Quantum Machine Learning for Ransomware Tagging and Classification with Generative Data Augmentation
Mentor(s): Simranjit Singh, Mohit Sajwan

qi26_08
Heterogeneity-Aware QUBO Formulation for Task Mapping in Network-on-Chip Architectures via Quantum Annealing
Mentor(s): Selma Dilek

qi26_09
Ground-State Energy Estimation of spin-1/2 antiferromagnetic Heisenberg Model by Hamiltonian Calibration through Hardware-Efficient VQE
Mentor(s): Muhammad Ahsan

qi26_10
Quantum Framework for Solving Nonlinear Partial Differential Equations in Physical Systems
Mentor(s): Yasemin Poyraz Koçak, Hüseyin Yıldız

qi26_11
Secure SDN Traffic Management using Post-Quantum Cryptography
Mentor(s): Abhishek Narwaria

qi26_12
QuantumSentinel: A Rigorous Benchmark of Variational Quantum Neural Networks for Zero-Day and Adversarial Intrusion Detection in IoT Networks
Mentor(s): Mohit Sajwan

qi26_13
Quantum-Native Optimization for Risk-Sensitive URLLC in UAV-RIS Networks
Mentor(s): Vieeralingaam G

qi26_14
Simulation tool for orchestrating quantum programs in distributed quantum environments
Mentor(s): Abhishek Sawaika

qi26_15
Quantum Correlations and Bell Nonlocality in Continuous-Variable Gaussian Systems
Mentor(s): Khalid Talbi

qi26_16
Accelerating hybrid quantum-classical machine learning tasks on HPC platforms
Mentor(s): Maha A. Metawei

qi26_17
Quantum Reservoir Memory for Continuous-Time Temporal Graph Learning
Mentor(s): Krishna Bhatia; Shalini Devendrababu

qi26_18
Mixed-State g-Purity: Purification Consistency, Monotonicity, and Trade-offs
Mentor(s): Oxana Shaya

qi26_19
Noise-Adaptive Decomposition of Multi-Qubit Gates for IBM Quantum Devices
Mentor(s): Aarav Ratra

qi26_20
Quantum Computing for Combinatorial Assignment Optimization
Mentor(s): Iván Barrientos Salas

qi26_21
Quantum App for Nuclear Physics Integrated into the QCOL Open Course Ecosystem
Mentor(s): Franci Laffita Camargo

qi26_22
Dynamic Entanglement Weighted Pruning for QFL-Based Supply Chain Risk Unlearning
Mentor(s): Sumit Chongder

qi26_23
QiOpt4QNet: Hybrid Quantum-Inspired Optimization for Fidelity-Constrained Entanglement Routing and Memory Scheduling in Quantum Networks
Mentor(s): Krishna Bhatia; Shalini Devendrababu

qi26_24
Quantum Reinforcement Learning for Decision Making
Mentor(s): Adithya Phani Thota

qi26_25
Hybrid QML and Quantum String Algorithms for Efficient Document Extraction and Processing
Mentor(s): Potluri Krishna Priyatham

qi26_26
Benchmarking Quantum Algorithms in the Cloud: A Comparative Study of Classical vs. Simulated Quantum Approaches on AWS
Mentor(s): Joselyn Lagunas


The detailed description of each project is available on the QIntern 2026 GitHub.

Our Team

Coordinators of QIntern 2026

  • Kumar Prateek
  • Aritra Sarkar

QIntern Team of QIntern 2026

  • Karan Siwach
  • Juweria Sayed
  • Tarun Hariharan