diff --git a/docs/content/posts/2024_recap/2024_recap.md b/docs/content/posts/2024_recap/2024_recap.md new file mode 100644 index 0000000..3889f88 --- /dev/null +++ b/docs/content/posts/2024_recap/2024_recap.md @@ -0,0 +1,63 @@ +--- +title: "2024 Recap: A Year in Quantum Science" +date: 2024-01-01 +tags: [""] +author: ["Gopal Ramesh Dahale"] +ShowToc: true +bibFile: /content/posts/2024_recap/bib.json +categories: [] +math: true +--- + +As 2024 ends, I find myself reflecting on a year full of collaboration, learning, and meaningful contributions. Here's what made this year special: + +### Google Summer of Code and Beyond 🚀 +I feel lucky to have worked with amazing people from [ML4SCI](https://ml4sci.org/) during and after Google Summer of Code. We have a few papers at our hand 📚: + +- Quantum Vision Transformers for Quark–Gluon Classification {{}}. +- ℤ₂ × ℤ₂ Equivariant Quantum Neural Networks: Benchmarking Against Classical Neural Networks {{}}. +- Hybrid Quantum Vision Transformers for Event Classification in High Energy Physics {{}}. +- A Comparison Between Invariant and Equivariant Classical and Quantum Graph Neural Networks {{}}. + +Co-authoring them reminded me how teamwork and shared interest can push quantum and classical machine learning forward. I am grateful to my mentors and collaborators for their guidance and support. + +### Mentoring @ ML4SCI, Google Summer of Code 🌟 +Being a mentor this year was an enriching experience. For someone who codes a lot, it was valuable to experience to guide new contributors in this field. It made me feel humble and inspired. Thank you to the amazing mentees for putting in so much effort 💪: + +- [Rey Guadarrama](https://www.linkedin.com/in/reyguadarrama/): QGAN for Monte Carlo Simulations {{}}. +- [Masha Baidachna](https://www.linkedin.com/in/masha-baidachna-77a260247/): Quantum Diffusion Model for HEP {{}}. +- [Alessandro Tesi](https://www.linkedin.com/in/alessandro-tesi-18b588291/): Quantum Transformer for HEP Analysis {{}}. +- [Sanya Nanda](https://www.linkedin.com/in/sanya-nanda-aba12218b/): Learning Quantum Representations of Classical HEP Data with Contrastive Learning. +- [Adithya Penagonda](https://www.linkedin.com/in/adithyapenagonda/): QGAN for HEP Analysis at LHC. + +I appreciate ML4SCI, especially [Prof. Sergei Gleyzer](http://sergeigleyzer.com/) for this opportunity. + +### My First Quantum Role: Thank You, Qkrishi 🎉 + +Joining [Qkrishi](http://sergeigleyzer.com/) as a Research Software Engineer shaped a key part of 2024. I explored how quantum computing can be used in the financial industry while collaborating with experts in the field. Highlights include: + +- Implemented quantum algorithms for portfolio optimization and fraud detection at utility scale. +- Developed a proof of concept with the third largest private sector bank in India {{}}. +- Represented our work on portfolio optimization at eOTF TechFest 2024. + +Thank you to the Qkrishi team for making my first full-time quantum role so fulfilling! + +### EPFL: Where the Magic Happens ✨ +This year also marked the beginning of my journey at EPFL in the Master's program in Quantum Science and Engineering. So far, I got a chance to work on my first-semester project, *Quantum Natural Gradient in Superoperator Formalism*, with the Quantum Information and Computing (QIC) group under [Prof. Zoë Holmes](https://www.epfl.ch/labs/qic/prof-zoe-holmes/) and guided by [Tyson Jones](https://tysonjones.io/index.html). + +The project focused on extending Quantum Natural Gradient (QNG) to noisy quantum circuits using Superoperator Formalism, allowing simulations of noisy circuits in the statevector picture (More details coming soon). + +I’m excited about the opportunities and challenges that lie ahead at EPFL! + +### Achievements to Celebrate 🏆 +- [IBM Quantum Challenge 2024 Achievement](https://www.credly.com/badges/7f45eb47-6aa3-4edd-8fb5-d248a621c05f/public_url). +- Unitary Hack: [Resolved 5 issues across 4 projects](https://drive.google.com/file/d/1wtRuK3T6rmntTSga3ZJ8DxnxXNb7unyL/view), ranking in the top 10 out of 68 hackers. +- QHack 2024: [First Place Prize](https://pennylane.ai/blog/2024/03/qhack-2024-highlights#top-teams-and-projects) for my project "Simulating lithium-ion batteries on quantum computers," awarded by NVIDIA & Denver Dataworks. Placed in the [top 100](https://pennylane.ai/profile/gopald?certificate=qhack-2024-coding-challenges-top-100) teams in the Quantum Coding Challenge Competition. +- PennyLane: [Certificate of Achievement](https://pennylane.ai/profile/gopald?certificate=introduction-to-pennylane) for proficiency in the basics of PennyLane. + +### Closing Thoughts 🌈 + +2024 has helped me grow, both professionally and personally. I’m truly grateful to my mentors, collaborators, and teams who made these accomplishments possible. A special thanks to [Prof. Dhiman Saha](https://www.iitbhilai.ac.in/index.php?pid=dhiman), who introduced me to quantum computing through his course Quantum Symmetric-Key Cryptanalysis at IIT Bhilai. His passion for learning and teaching continues to inspire me. As I move into 2025, I carry with me the lessons learned, the relationships, and a fresh drive to push quantum computing forward. + +Here's to staying curious, working together, and making a difference! 💫 + diff --git a/docs/content/posts/2024_recap/bib.json b/docs/content/posts/2024_recap/bib.json new file mode 100644 index 0000000..d84596c --- /dev/null +++ b/docs/content/posts/2024_recap/bib.json @@ -0,0 +1,272 @@ +[ + { + "id": "forestano2024comparison", + "type": "article-journal", + "title": "A comparison between invariant and equivariant classical and quantum graph neural networks", + "author": [ + { "family": "Forestano", "given": "Roy T" }, + { "family": "Comajoan Cara", "given": "Marçal" }, + { "family": "Dahale", "given": "Gopal Ramesh" }, + { "family": "Dong", "given": "Zhongtian" }, + { "family": "Gleyzer", "given": "Sergei" }, + { "family": "Justice", "given": "Daniel" }, + { "family": "Kong", "given": "Kyoungchul" }, + { "family": "Magorsch", "given": "Tom" }, + { 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+ "given": "Isabel" + } + ], + "booktitle": "NeurIPS 2024 Workshop Machine Learning with new Compute Paradigms" + }, + { + "id": "baidachna2024quantum", + "type": "inproceedings", + "title": "Quantum Diffusion Model for Quark and Gluon Jet Generation", + "author": [ + { + "family": "Baidachna", + "given": "Mariia" + }, + { + "family": "Gleyzer", + "given": "Sergei" + }, + { + "family": "Matchev", + "given": "Konstantin" + }, + { + "family": "Matcheva", + "given": "Katia" + }, + { + "family": "Kong", + "given": "Kyoungchul" + }, + { + "family": "Dahale", + "given": "Gopal Ramesh" + }, + { + "family": "Pedraza", + "given": "Isabel" + }, + { + "family": "Magorsch", + "given": "Tom" + }, + { + "family": "Guadarrama", + "given": "Rey" + } + ], + "booktitle": "NeurIPS 2024 Workshop Machine Learning with new Compute Paradigms" + }, + { + "id": "qkrishi", + "type": "article", + "author": [ + { + "family": "Bagchi", + "given": "Sohini" + } + ], + "title": "Gen AI, open banking and quantum leading us to an exciting growth path: Axis Bank CIO", + "container-title": "TechCircle", + "year": "2024", + "URL": "https://www.techcircle.in/2024/05/27/gen-ai-open-banking-and-quantum-leading-us-to-an-exciting-growth-path-axis-bank-cio", + "note": "Accessed: 2025-01-01" + } + +]