Pratik Ojha B.S. Electrical Engineering & Applied Physics
Junior at UNM building at the edge of quantum and hardware. Quantum Research Intern at CHTM — constructing optical systems that break the Rayleigh diffraction limit.
// 01 Who I Am
About Me
I'm a Junior at the University of New Mexico pursuing B.S. degrees in Electrical Engineering and Applied Physics. My work lives at the intersection of advanced physical theory and tangible hardware systems — with a specialized focus on quantum and solid-state physics.
My core mission is translation: taking fundamental quantum laws out of the lab and engineering them into technologies that drive human progress. I believe the future of engineering relies on our ability to turn abstract principles into high-performance, real-world solutions.
I'm particularly drawn to Condensed Matter Physics, Solid State Physics, Quantum Computing, Quantum Communication, Quantum Metrology, Non-linear Quantum Optics and Quantum Sensing.
// 02 Current Work
Research Spotlight
Reconfigurable Multi-Plane Light Conversion (MPLC) Mode Sorter
Developing a reconfigurable MPLC mode sorter utilizing a Spatial Light Modulator (SLM). Constructing an optimized 5-plane multipass cavity designed to physically sort fundamental Hermite-Gaussian modes — HG₀₀, HG₀₁, HG₁₀ — at visible wavelengths of 600–700 nm.
By deploying phase-matching algorithms and unitary transformations via inverse algorithms to design precise wavefront patterns, the system extracts missing phase information from the light field. This breaks the Rayleigh diffraction limit, advancing super-resolution fluorescence microscopy and enabling the resolution of single-photon sources like protein pairs in cell biology.
// 03 Tools & Techniques
Technical Toolkit
Software
Hardware & EE
Physics & Optics
// 04 What I've Built
Featured Projects
Quantum Tunneling Simulator
Simulated electron probability densities in quantum systems using the time-dependent Schrödinger equation. Modeled carrier transport behavior in modern transistor architectures under varying potential barriers.
Projectile Motion Calculator
Physics-based computational tool in LabVIEW to simulate and analyze projectile trajectories. Integrated real-time data acquisition and visualization achieving high agreement between predicted and measured results.
Image Processing Engine (C)
CLI-based bitmap processor using raw pointer arithmetic and dynamic memory allocation. Implemented grayscale conversion and box blur for high-resolution images with minimal latency overhead.