IonVis Wins QtHack

Wed, 06 May 2026 00:00:00 +0000

It is a pleasure to congratulate Md Mahshook A and Chithresh TM — Team IonsVis — on winning Track 04 (Quantum Systems) at QtHack04, the Quantum Technologies Hackathon organised by the Faculty of Engineering and Technology, SRMIST Kattankulathur (March 30–31, 2026).

Their submission, IonVis: A Trapped-Ion Quantum Adder Simulator, addressed Problem #8 (Digital Adder Visual Simulator) with remarkable physical and pedagogical depth. Rather than treating quantum adders as abstract circuit diagrams, they built an interactive simulator grounded in hardware realism: the WISE (Wiring Integrated Switched Electronics) architecture, QCCD ion-shuttling dynamics, Rydberg dressing, and cascading noise models.

What impressed the evaluation panel was not just technical implementation, but the translation of messy physical reality into intuitive visualization. The tool maps high-level quantum logic to trapped-ion gate primitives, animates laser excitations and entanglement, and demonstrates precisely why algorithms fail on NISQ devices — insights that bridge the critical gap between theoretical circuit design and hardware-constrained engineering.

Their roadmap for future work — real-device transpilation to cloud-based trapped-ion processors, multi-zone scaling toward distributed quantum processors, and ML-driven pulse optimization — shows the kind of systems thinking that the quantum computing field desperately needs.

Md Mahshook and Chithresh have exemplified exactly what QtHack04 sought to cultivate: students who can move fluently between quantum physics, control electronics, and software design. Exceptional work.

Karunakaran defended his thesis

Fri, 28 Nov 2025 00:00:00 +0000

I am absolutely thrilled and immensely proud to announce that my first PhD student, Karunakaran M has successfully defended his doctoral thesis!

This is a really significant milestone and a true highlight for the Mavens group. Karunakarn’s research is genuinely interesting, focusing on the electronic, magnetic, and thermodynamic properties of Heusler alloys.

His work, integrating ab initio Density Functional Theory (DFT), the Korringa–Kohn–Rostoker Coherent Potential Approximation (KKR–CPA), and Monte Carlo simulations with machine learning approaches, has provided critical insights. He focused specifically on Heusler alloys for sustainable technologies, including magnetocaloric cooling and spintronic applications, demonstrating how chemical disorder and strategic doping can be used to tune material properties for green-energy systems.

A massive congratulations, Dr Karunakarn M!

Your hard work, dedication, and rigorous approach to computational physics are truly commendable. We look forward to seeing your future contributions to the field.

Highlight | MAVENs

IonVis Wins QtHack

Karunakaran defended his thesis