I-Hub Quantum Technology Foundation

I-Hub Quantum Technology Foundation

Share

04/08/2025

Dear readers, here's a ๐๐ซ๐จ๐ฃ๐ž๐œ๐ญ ๐ง๐š๐ซ๐ซ๐š๐ญ๐ข๐ฏ๐ž of ๐Š๐จ๐ง๐ž๐ซ๐ฎ ๐‹๐š๐ค๐ฌ๐ก๐ฆ๐š๐ข๐š๐ก ๐„๐๐ฎ๐œ๐š๐ญ๐ข๐จ๐ง ๐…๐จ๐ฎ๐ง๐๐š๐ญ๐ข๐จ๐ง which has participated in "๐‚๐‡๐€๐‹๐‹๐„๐๐†๐„ ๐“๐Ž ๐๐„ ๐๐”๐€๐๐“๐”๐Œ ๐‘๐„๐€๐ƒ๐˜" - Program in collaboration with NVIDIA and supported by DST, Government of India. I Hub created access to NVIDIA's CUDA-Q enabled 36-qubit simulator, with the aim of supporting Quantum capacity building.

In their own words-
What's the research problem?
๐Ÿ”น ๐‡๐ฒ๐›๐ซ๐ข๐ ๐๐ฎ๐š๐ง๐ญ๐ฎ๐ฆ-๐‚๐ฅ๐š๐ฌ๐ฌ๐ข๐œ๐š๐ฅ ๐ƒ๐ž๐ž๐ฉ ๐‹๐ž๐š๐ซ๐ง๐ข๐ง๐  ๐Ÿ๐จ๐ซ ๐ƒ๐ข๐š๐›๐ž๐ญ๐ข๐œ ๐‘๐ž๐ญ๐ข๐ง๐จ๐ฉ๐š๐ญ๐ก๐ฒ ๐ƒ๐ž๐ญ๐ž๐œ๐ญ๐ข๐จ๐ง๐Ÿ”น

Excited to share progress on our ongoing research project that combines deep learning and quantum computing for medical image classification, specifically targeting early detection of diabetic retinopathy using the APTOS dataset.

We're building a hybrid quantum-classical model that integrates a ResNet50 backbone with a custom ๐ช๐ฎ๐š๐ง๐ญ๐ฎ๐ฆ ๐ง๐ž๐ฎ๐ซ๐š๐ฅ ๐ง๐ž๐ญ๐ฐ๐จ๐ซ๐ค (๐๐๐) ๐ฅ๐š๐ฒ๐ž๐ซ ๐ฎ๐ฌ๐ข๐ง๐  ๐๐•๐ˆ๐ƒ๐ˆ๐€'๐ฌ ๐‚๐”๐ƒ๐€ ๐๐ฎ๐š๐ง๐ญ๐ฎ๐ฆ ๐Ÿ๐ซ๐š๐ฆ๐ž๐ฐ๐จ๐ซ๐ค. This allows us to extract classical features while leveraging quantum-enhanced decision layers for improved diagnostic performance.
โ–ถThe quantum circuit is an 8-qubit variational model using parameterized RY and RX rotations with CNOT entanglement and measurements based on a Pauli-Z Hamiltonian. Gradients are computed using the parameter shift rule and integrated into the PyTorch Lightning training loop.

โ—ผ ๐“๐จ๐จ๐ฅ๐ฌ & ๐“๐ž๐œ๐ก๐ง๐ข๐ช๐ฎ๐ž๐ฌ ๐”๐ฌ๐ž๐:
1. PyTorch + Torchvision + PyTorch Lightning
2. CUDA Quantum (cudaq)
3. Automatic Mixed Precision (AMP)
4. Multi-GPU training
5. AdamW optimizer, CosineAnnealingLR scheduler
6. OpenCV, Pillow, scikit-learn, Pandas, NumPy
โ—ผ ๐‚๐ฎ๐ซ๐ซ๐ž๐ง๐ญ ๐€๐œ๐œ๐ฎ๐ซ๐š๐œ๐ฒ: ~๐Ÿ–๐ŸŽ%
Still working to further improve this by refining the quantum layer and hyperparameters.

โœจA heartfelt thank you to:
I-hub Quantum Tech Foundation (QTF), NVIDIA, IISER Pune, Dr. Manish Modani (NVIDIA), Dr. Kunj Tandon (IISER Pune)
for their mentorship and for initiating this Quantum Ready Challenge . The ๐๐•๐ˆ๐ƒ๐ˆ๐€ ๐๐ฎ๐š๐ง๐ญ๐ฎ๐ฆ ๐’๐ข๐ฆ๐ฎ๐ฅ๐š๐ญ๐จ๐ซ has been a critical tool in enabling us to prototype and train quantum circuits effectively.

We are open to feedback, suggestions, and collaborations in this exciting intersection of quantum computing and AI for healthcare!

Photos from I-Hub Quantum Technology Foundation's post 04/08/2025

โœจ Best Poster Award at Quantum India 2025! ๐Ÿ†

We are thrilled to share that Rayees A S and Shuvarati Roy received the Best Poster Award at the Quantum India Conference 2025, held in Bengaluru on 31st July - 1st August.

Their poster, titled โ€œDEVELOPMENT OF AN INDIGENOUS 20-QUBIT QUANTUM COMPUTING PLATFORM USING TRAPPED IONSโ€, was recognized for its innovation and impact. The award was presented by none other than Nobel Laureates Prof. Duncan Haldane and Prof. David Gross!. The poster highlights our recent advancements in building an ion trap quantum computer, including the successful creation of a linear array of 13 ions and the observation of quantum jumpsโ€”both of which mark critical milestones on the path toward fully functional quantum computer. It also briefly outlines the future prospects for research and technical aspects involved in realizing a quantum computer.

A heartfelt thank you to Prof. Umakant Rapol, Dr. Jay Mangaonkar for their constant support and guidance throughout this journey. And thanks to Joel Sunil and Monu Bhartiya for their support.

We also gratefully acknowledge:
๐Ÿ”น IISER Pune & IHUB QTF Pune
๐Ÿ”น Niranjan Deshmukh and Ganesh Pawar for their exceptional engineering support
๐Ÿ”น Technical staff from Physics Dept. โ€” Nilesh Dumbre and S Karthikeyan
๐Ÿ”น IHUB Project Students โ€” Trivijay Jawale and Chaithanya Hosahudya
๐Ÿ”น BS-MS Students โ€” Sharan K and Abhishek Ranjith
๐Ÿ”นCouncil of Scientific & Industrial Research(CSIR)
๐Ÿ”นPrime Minister's Research Fellowship(PMRF) scheme
๐Ÿ”นNational Quantum Mission(NQM)
๐Ÿ”นNational Mission on Interdisciplinary Cyber-Physical Systems(NM-ICPS)

This achievement is a testament to the collaborative spirit and dedication of everyone involved in pushing the frontiers of Indiaโ€™s quantum computing ecosystem.

14/07/2025

Weโ€™re excited to share that GDQLABS Labs, a startup incubated at I-HUB Quantum Technology Foundation (I-HUB QTF)-HUB Quantum Technology Foundation (Indian Institute of Science Education and Research (IISER), Pune Pune), is hiring for the position of Electronics/Hardware Engineer in Bangalore.

If youโ€™re passionate about designing advanced electronic systems and contributing to Indiaโ€™s growing quantum technology ecosystem, this is a great opportunity.

For queries and applications, please email: [email protected]
https://gdqlabs.com/

We encourage you to share this opportunity within your network.


For more details, please refer to the image below.

Want your school to be the top-listed School/college in Pune?
Click here to claim your Sponsored Listing.

Address


IISER Pune
Pune
411008