Hi, I am a doctoral researcher at the Forschungszentum Jülich and Universität des Saarlandes, currently focused on theoretical and numerical aspects of quantum optimal control methods applicable towards multi-partite systems with large Hilbert space, and open quantum systems. My work develops a method for computing derivatives of time-ordered propagators for systems with large Hilbert space.
Furthermore, I actively contribute towards the development of an open source python package ParaQeet aimed at streamlining the simulation and optimization workflow for quantum systems. This combines analytical methods for computing gradients along with automatic differentiation, using the JAX framework, for ease of use.
I am looking forward to working on development of robust optimal control methods, and application of optimal control methods to quantum information and algorithms.
Derives the formal solution for gradients of time-ordered propagators.
Demonstrates one order of magnitude speedup compared to current methods.
A quantum optimal control toolkit with simple parameter management
Development of a robust optimization framework by characterization of cost functional landscape.
UpcomingDevelopment of a general framework for computing gradient of time-ordered propagators by analytical derivation of formal solution and series expansion. Numerical implementation demonstrates an order of magnitude speedup compared to current methods.
Optimization FrameworkAn open-source python library for streamlining simulation and optimization of quantum system. Combines automatic differentiation methods with analytic gradients for faster runtimes.
Numerical OptimizationProtocol to combine readout and reset of superconducting qubits by using quantum optimal control.
Hardware applicationsA full record of my education, appointments, awards, and complete publication list.
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