Research Showcase

Quantum Physics Research

PhD student working at the intersection of quantum computing and quantum sensing. My research focuses on near-term quantum hardware, error mitigation, and high-precision sensing with NV centers.

Research Interests

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Quantum Computing

Developing and benchmarking variational quantum algorithms (VQE, QAOA) on near-term NISQ devices. Research includes quantum error mitigation, noise characterization, and circuit optimization to bridge the gap between current hardware and fault-tolerant quantum computation.

Variational AlgorithmsError MitigationNISQ DevicesCircuit OptimizationQiskit
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Quantum Sensing

Exploiting quantum coherence to achieve precision measurements beyond classical limits. Current work focuses on nitrogen-vacancy (NV) centers in diamond for nanoscale magnetometry and thermometry, including dynamical decoupling protocols to extend coherence times at room temperature.

NV CentersDiamondMagnetometryDynamical DecouplingRamsey Spectroscopy

Active Projects

Current and recent research projects

Variational Quantum Eigensolver Implementation

Variational Quantum Eigensolver Implementation

Implementation and benchmarking of VQE algorithms for molecular ground-state energy calculations on near-term quantum hardware.

Qiskit Python Quantum Computing VQE
NV Center Quantum Sensing Protocols

NV Center Quantum Sensing Protocols

Development of precision magnetometry protocols using nitrogen-vacancy centers in diamond for nanoscale magnetic field sensing.

Quantum Sensing NV Centers Python Lab Hardware
Quantum Circuit Optimizer

Quantum Circuit Optimizer

A software tool that applies gate-level optimizations and noise-aware compilation to reduce circuit depth on NISQ devices.

Python Qiskit Circuit Optimization Open Source
Quantum Error Correction Simulator

Quantum Error Correction Simulator

Simulation framework for studying topological error correction codes including the surface code and color code.

Python NumPy Error Correction Simulation
Quantum Noise Characterization Toolkit

Quantum Noise Characterization Toolkit

Tools for characterizing and modeling decoherence sources in superconducting qubit systems using randomized benchmarking.

Python Qiskit Noise Modeling Benchmarking
Ramsey Interferometry Analysis Suite

Ramsey Interferometry Analysis Suite

Data analysis pipeline for Ramsey spectroscopy experiments, including decoherence fitting and sensitivity estimation.

Python SciPy Quantum Sensing Data Analysis

Presentations & Talks

Coherence Enhancement in NV Center Ensembles via Dynamical Decoupling at Room Temperature

APS March Meeting 2025

Contributed Talk March 2025

Noise-Aware Compilation of Variational Quantum Circuits on Superconducting Hardware

Quantum Computing Theory in Practice (QIP) 2025

Poster January 2025

Benchmarking VQE Ansatz Depth on IBM Quantum Eagle Processors

University Quantum Seminar Series

Invited Talk October 2024

Tools & Methods

Quantum Software

Qiskit Cirq PennyLane QuTiP NumPy SciPy Matplotlib Python

Experimental Techniques

Ramsey Spectroscopy Dynamical Decoupling Randomized Benchmarking Tomography Confocal Microscopy ODMR

Quantum Algorithms

VQE QAOA Grover's Shor's QPE QSVM Quantum Walks Quantum ML

Hardware Platforms

Superconducting Qubits NV Centers Trapped Ions (theory) IBM Quantum FPGA Control AWG

Interested in Collaborating?

I'm always open to research collaborations, discussions about quantum physics, or questions about my work.