Hassam Ghazali

About

I am a PhD candidate in Physics at the University of Utah, where I received my MS in Physics in 2025. My research is experimental: I design and build classical analog electronic circuits that emulate quantum computing and quantum artificial intelligence algorithms, using classical interference and a universal set of quantum gates implemented in hardware.

Alongside the emulator work, I have built laboratory instrumentation for superconducting-device research, including a specialized double-angle e-beam evaporation chamber and a microwave technique for measuring the kinetic inductance of superconducting nanowires. I earned my BS in Engineering Physics from the University of Lahore with a Gold Medal for the highest standing in my graduating class, and I was awarded the Swigart Fellowship at Utah.

I also work as an AI/ML researcher on large-language-model systems: distributed LLM inference with Ray Serve and Kubernetes, model training with Slurm and DeepSpeed, and retrieval-augmented generation (RAG) pipelines built on Milvus.

Research Interests

  • Quantum Computing
  • Condensed Matter Physics
  • Quantum Materials
  • Materials Physics
  • Analog Quantum Emulation
  • AI/ML Research
  • Distributed LLM Inference
  • LLM Training
  • RAG Pipelines
  • Kinetic Inductance
  • Vacuum & Cryogenic Instrumentation

Education

  • 2022 – Present
    PhD in Physics (Candidate)
    The University of Utah, Salt Lake City · Swigart Fellow
  • 2022 – 2025
    MS in Physics
    The University of Utah · GPA 4.0 / 4.0
  • 2017 – 2021
    BS in Engineering Physics
    The University of Lahore, Pakistan · GPA 4.0 / 4.0 · Gold Medal
  • 2015 – 2016
    Certificates in Computer Science (C++, OOP)
    Virtual University of Pakistan · GPA 4.0 / 4.0

News

Research

Analog Quantum Computer Emulator (Fall 2024 – ongoing). My research explores two hardware implementations that share a common analog-signal operational framework, in which quantum algorithms are carried out by conventional electronic components working on the principle of classical interference.

Quantum Circuit Emulator (QCE)

A gate-based emulator in which quantum gates are implemented with conventional electronic components that directly manipulate the qubit state.

Quantum AI Emulator (QAIE)

A matrix-based architecture in which analog circuitry performs weighted linear transformations for quantum artificial intelligence, with each qubit acting as an analog neuron.

AI/ML Systems

Infrastructure for large language models: distributed inference (Ray Serve, Kubernetes), large-scale training (Slurm, DeepSpeed), and retrieval-augmented generation pipelines (Milvus).

Superconducting Devices & Instrumentation

Measurement and fabrication tools for superconducting nanowires, including kinetic-inductance measurement and double-angle e-beam deposition.

Publications & Patents

Publications

  1. Classical Analog Circuit Emulation of Quantum Grover Search Algorithm
    S. Feldman, H. Ghazali, and A. Rogachev
    arXiv:2506.06502, June 2025
    arXivPDF
  2. Classical Analog Emulator for Quantum Computing Algorithms
    H. Ghazali, S. Feldman, and A. Rogachev
    Manuscript in preparation

Patents

  1. Educational Hardware Platform for Analog Emulation of Quantum Circuits
    H. Ghazali and A. Rogachev
    Provisional patent application filed, May 4, 2026
  2. Circuits and Systems for Single-Frequency Matrix-Based Emulators of Quantum Computer and Quantum AI Algorithms Operating on Principles of Classical Interference and Built of Active Electronic Components
    A. Rogachev, H. Ghazali, S. Feldman, M. Cochella, and A. V. Grzybowski
    Provisional patent application filed, December 15, 2025

In the Media

Lassonde Entrepreneur Institute · University of Utah · March 24, 2026

Hands-On Quantum Computing Research

A feature by Zita Lulloff on how a childhood of taking apart toys and building remote-controlled boats and aircraft led to my research on analog quantum computer emulators.

Read the article →

Projects

Instrumentation · Summer 2024

Specialized E-beam Evaporator Chamber

Full mechanical assembly of a double-angle deposition chamber: designed the sample holder, implemented a liquid-nitrogen-cooled sample stage, built the sample loading, retrieval and manipulation mechanism, and machined custom components.

Experimental · Summer 2023

Kinetic Inductance Measurement Prototype

Devised a microwave measurement technique to determine the kinetic inductance of superconducting nanowires.

BS Thesis · 2020 – 2021

RSA Factorization on a Quantum Processor

Implemented Shor’s algorithm on a quantum processor with Qiskit and Python to solve integer-factorization problems that are classically intractable.

Teaching & Experience

Awards & Honors

Skills & Certifications

Programming
Python, Qiskit, C++, Object-Oriented Programming, Mathematica, MATLAB, LaTeX
AI/ML Systems
Distributed LLM inference (Ray Serve, Kubernetes), training (Slurm, DeepSpeed), RAG pipelines (Milvus)
Software & Tools
Autodesk Inventor, HFSS, LTspice, KiCad, LabVIEW, IGOR Pro, Adobe Photoshop
Electronics
PCB and schematic design, soldering, circuit troubleshooting
Measurement
Optical, electrical and cryogenic measurements
Systems
Vacuum, cryogenic, deposition and optical systems
Fabrication
Mechanical assembly, 3D CAD, 3D printing, lathe, mill, drill press, saw, grinding
Methodologies
Agile, Scrum
Languages
English (fluent); Urdu, Punjabi, Saraiki (native); German, Arabic (beginner)

Certifications

Contact

I welcome questions about my work, collaboration ideas, and inquiries about research positions. My full CV and references are available on request.

Email me   Connect on LinkedIn →