Aditya |Dev⟩ आदित्य ⟨देव|

Member of The Spin Dynamics Group

|ME⟩ = α|ADITYA⟩ + β|DEV⟩

I'm Aditya Dev. I am currently a PhD student at the Weizmann Institute of Science, Israel 🇮🇱, working with Prof. Ilya Kuprov on Quantum Optimal Control of Spin Systems.

My research interests lie at the intersection of Physics and Computation 💻, specifically in optimizing control protocols for quantum systems. I enjoy exploring philosophical and scientific self-reflection 🧘‍♂️.

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"Eigenvalue found: chronically debugging."

Hover again for another questionable measurement.

IISER Mohali

BS-MS Dual Degree, India (2019 - 2024)

Majored in Physics with focus on particle physics, computational methods, and open quantum systems.

MPI-PKS Dresden

Master's Thesis, Germany (2023 - 2024)

Explored the emergence of time in quantum mechanics, worked on Relational Time from Entangled Eigenstates.

IIT Roorkee

Junior Research Fellow, India (2024 - 2025)

Worked on Quantum-enhanced photocell based on GaN quantum dots

Weizmann Institute

PhD, Israel (2025 - Present)

Researching quantum optimal control of spin systems (GRAPE) with Prof. Ilya Kuprov.

Publications

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Quantum-enhanced photocell based on GaN quantum dots

Physical Review A | DOI: 10.1103/jywm-2nrs

In this work, we propose an efficient quantum-enhanced solid-state photocell based on GaN quantum dots (QDs). We exploit the strong built-in electric field in GaN QDs and the excitonic dipole-dipole interaction between adjacent QDs to break detailed balance, thereby enhancing device performance. This mechanism is significantly stronger than Fano interference, and our results demonstrate that such a photocell exhibits increased photovoltage and photocurrent compared to its noninteracting counterparts. Numerical calculations further show that the efficiency remains positive and saturates at a finite value for multi-QD systems. The proposed quantum photocell represents a promising step towards harnessing quantum effects in practical energy-harvesting devices.
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Spin Hamiltonian as Matrix-Free Linear Map

arXiv Preprint | DOI: 10.48550/arXiv.2606.02169

We present an algorithm that computes the action of a generic spin Hamiltonian on a state vector on the fly, entirely avoiding explicit matrix assembly. This is achieved through mixed-radix indexing of the full tensor-product basis, which translates local spin operations into simple integer offsets. The result is an explicit framework for evaluating single- and two-site terms across arbitrary spin lattices, including mixed-spin systems. Our construction bridges the basis-indexing logic familiar from exact diagonalization with the matrix-free state-update philosophy of address-based frameworks. By writing the indexing logic in closed form, a single uniform loop applies to every site regardless of its local Hilbert-space dimension. The method is parallelizable and memory-conserving, and can be extended to restricted basis or truncated bosonic levels.

Blogs

Floquet Hamiltonian Expansion

Higher Order Frequency Expansion of the Floquet Hamiltonian

A pedagogical walkthrough deciphering the Average Hamiltonian Theory, Van Vleck expansions, and Floquet-Magnus theorems for students exploring Floquet engineering.

Contact Me

For contacting, collaboration or questions please feel free to email.

Email

adityadev@tuta.io

I typically reply within a couple of days.

GitHub

github.com/dev-aditya

Explore my projects and latest updates.

Location

Weizmann Institute of Science, Rehovot, Israel

Spin Dynamics Group

Going into a symmetry protected state of the system...