Collaboration

Science thrives on the exchange of ideas, multidisciplinary perspectives, and collaborative exploration. I actively collaborate with theoretical physicists, computational scientists, and experimental quantum groups across the globe.

Whether you are a researcher, faculty member, postdoctoral fellow, or student interested in joint projects, theoretical modeling, numerical simulations, or discussions, I welcome the opportunity to connect!

Areas of Collaborative Interest

I am particularly excited to collaborate on topics at the intersection of:

1. Open Quantum Systems & Non-Markovian Reservoir Engineering

• Diagnosing memory effects, information backflow, and CP-divisibility breakdown in physical quantum channels.
• Correlated noise in multi-qubit registers and shared structured baths.
• Microscopic system-bath modeling (collective dissipation, subradiance, entanglement sudden death and revivals).

2. Quantum Machine Learning (QML) & Quantum State Diagnosis

• Quantum Support Vector Machines (QSVM) and quantum kernel methods for cross-domain state classification.
• Variational Quantum Neural Networks (QNN) and parameterized quantum circuits for entanglement verification.
• Mitigating barren plateaus and scaling QML algorithms for NISQ devices.

3. Quantum Batteries & Quantum Thermodynamics

• Work extraction, ergotropy maximization, and charging dynamics in Heisenberg spin chains and networks.
• Exploiting anisotropic interactions, such as the Dzyaloshinskii–Moriya interaction (DMI), to unlock super-extensive charging advantages.
• Open-system quantum thermodynamics and autonomous thermal machines.

4. Quantum Error Mitigation & Quantum Communication Protocols

• Active noise suppression protocols using weak measurements and quantum measurement reversal (QMR).
• Enhancing teleportation fidelity and fidelity deviation under dissipative environments.
• Quantum repeaters and distributed quantum information processing.

How We Can Work Together

• Joint Research Publications: Formulating original theoretical models, deriving analytical solutions, and preparing high-impact manuscripts.
• Numerical Simulations & Open-Source Code: High-performance quantum simulation, numerical diagonalization, and quantum circuit implementations (Qiskit, Pennylane, Python).
• Workshops & Reading Groups: Sharing insights through seminars, workshops, and quantum computing training sessions.
• Student Mentoring & Peer Discussions: Brainstorming with graduate and undergraduate students interested in quantum information science.

Get in Touch

If you have a potential research project in mind or would like to discuss an idea, please feel free to reach out: