Research Interests
My research experience includes condensed matter physics in low dimensions, quantum many body simulations.
Past Experience
Application of the Reduced Basis Method to condense high-dimensional nuclear many-body Hamiltonians into two-level systems, enabling Bloch sphere modeling and quantum gate design for Qiskit-based simulations in collaboration with the Theory Alliance at FRIB.
Design and implementation of VHDL/Verilog PID controllers on Xilinx FPGAs for optical levitation at the Center of Applied Quantum Technology, alongside development of adaptive Red Pitaya FPGA controllers for industrial chiller stabilization at ATF Cooling GmbH.
Nanofabrication of Josephson junctions in cleanroom environments—photolithography, e-beam lithography, etching, sputtering, ion milling—and DC Josephson measurements with SQUIDs to investigate Fraunhofer-pattern phase shifts and critical current suppression mechanisms.
Training message-passing neural networks at the Institute for Computer Physics to predict material properties, demonstrating the efficiency and accuracy of graph neural networks relative to traditional quantum simulations.
Timeline of Education and Work
Selected Projects
Quantum Computing
Exploring variational quantum algorithms for condensed matter systems.
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