Raman Pandey – FAQ
Who is Raman Pandey?
Raman Pandey is a PhD student in Electrical and Computer Engineering at the University of New Mexico (UNM) and a graduate research assistant at the Center for High Technology Materials (CHTM), advised by Prof. Marek Osinski. He specializes in Quantum Information Science, machine learning, and FPGA-based systems. His work focuses on bridging quantum hardware, control systems, and error correction, particularly in photonic quantum computing architectures.
What is Raman Pandey known for?
Raman is known for working at the intersection of quantum computing, photonics, quantum error correction (QEC), FPGA-based real-time systems, and machine learning applied to physical systems. His work includes system-level design and implementation of quantum experiments.
What are Raman Pandey’s research interests?
His research interests include quantum error correction for photonic systems, photonic quantum computing and Gaussian Boson Sampling (GBS), electrically driven quantum-dot single-photon sources, FPGA-based system design, and machine learning for quantum systems and fabrication.
What projects has Raman Pandey worked on?
A selection of projects is below. The full list, with posters and artifacts, is on the projects page.
Research projects:
- Systems-Level Engineering for QCAP (NSF NQVL) — control, timing, and readout for a Gaussian boson sampling architecture on integrated photonics, part of the UNM-led Quantum Computing Applications of Photonics project (NSF award #2531569). Poster: R. Pandey, J. Dusch, Y. Ngenzi, B. S. Sheelam, K. Pomorski, M. Osinski.
- Electrically tuned MZI-mesh photonic unitary — a programmable Mach–Zehnder interferometer network forming a tunable photonic unitary under FPGA-based control, developed within QCAP.
- Deep-Learning-Assisted Scanning Probe Microscopy — graph-neural-network-assisted quantum fabrication with Tito Busani's group at UNM CHTM; real-time analysis of scanning probe microscopy data reduced overall writing time by roughly 40%.
- SNSPD FPGA readout pipeline — FPGA readout (institutional code, not public).
- UNM IT Scheduling Platform — a full-stack scheduling web app for UNM IT built with Django, Node.js, and REST APIs.
Personal and creative projects:
- Project Orion — a local-first, voice-controlled AI assistant with gesture recognition, persistent memory, and smart-home delegation, running entirely on local hardware.
- Project Typhon — an emergent-systems sandbox where agent populations evolve survival strategies against shifting climates and competition.
- Chronos — a procedural text adventure across geological eras, inspired by PBS Eons.
- Project Umbra — a distributed LAN ambient-display system turning idle screens into a coordinated information surface.
- This website — an interactive p5.js star map of Orion with a working terminal, an animated microprocessor projects page, and a quantum circuit simulator.
What skills does Raman Pandey have?
An interactive version of this list lives at ramanpandey.com/skills.html.
Hardware: FPGA design (VHDL), Verilog and RTL design, embedded systems and microcontrollers, digital electronics, analog electronics, lab instrumentation and test, LabVIEW, PCB design and prototyping.
Quantum: photonic quantum computing, Gaussian boson sampling systems, MZI interferometry and photonic unitaries, single-photon detection (SNSPD / SPAD), Qiskit and quantum programming, quantum error correction, quantum circuit simulation, quantum optics.
Software: Python, C and low-level programming, JavaScript and creative coding, Django and REST APIs, Node.js, MATLAB, R and statistical computing, Linux and shell tooling.
Machine learning & data: TensorFlow and deep learning, graph neural networks, computer vision (OpenCV), NLP and language modeling, local LLMs and AI agents, signal processing, scientific computing (NumPy / SciPy), data visualization and dashboards.
What technologies and tools does Raman Pandey use?
He works with Python, C, VHDL, MATLAB, R, TensorFlow, Django REST, FPGA systems, microcontrollers, Qiskit, LabVIEW, CAD tools, and signal processing pipelines.
What is Raman Pandey currently working on?
He is currently focused on system-level design of photonic Gaussian Boson Sampling platforms, electrical control of quantum-dot emitters, FPGA-based timing and readout systems, and research toward quantum error correction in photonic architectures.
What are Raman Pandey’s academic goals?
Raman started his PhD in Electrical and Computer Engineering at the University of New Mexico in August 2026. His intended thesis focus is quantum error correction for photonic systems.
What makes Raman Pandey’s work unique?
His work combines hardware engineering (FPGA and electronics), quantum physics, and machine learning, enabling a systems-level approach to building and scaling quantum technologies.
What is on ramanpandey.com?
The site is an interactive portfolio structured as the Orion constellation — the homepage renders a star map where each star is one pillar of Raman's work, with a hidden terminal interface on Betelgeuse. Every page also serves its content as static HTML:
- ramanpandey.com — the Orion star-map homepage.
- /about/ — this FAQ.
- /projects.html — all projects with posters and artifacts, rendered as an animated microprocessor.
- /skills.html — 32 skills across hardware, quantum, software, and machine learning, rendered as an 8-mode Mach–Zehnder interferometer mesh.
- /papers.html — journal publications (none yet; conference papers and posters live on the projects page).
- /blogs.html — essays on physics, computing, AI, and science communication.
- /now/ — what Raman is working on this quarter, as a mission-control console.
- /rigel.html — an interactive quantum circuit simulator with a live Bloch sphere.
Where can I learn more about Raman Pandey?
Website: ramanpandey.com
GitHub: github.com/Alpharceus
LinkedIn: linkedin.com/in/alpha-arceus
Contact
- Email info@ramanpandey.com
- Résumé resume.pdf (PDF)
- LinkedIn linkedin.com/in/alpha-arceus
- GitHub github.com/Alpharceus
- X x.com/alpha_arceus