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Invented [[8rp, (8r − 2)p − 2m, 4]] Delfosse-Reichardt Quantum Error Correcting Code! Stabilizer code implementation and decoder simulation at QuantumClifford.jl PR #466. I am very grateful to Dr. Nicolas Delfosse (IonQ) and Prof. Victor V. Albert (University of Maryland) for helpful suggestions. I am truly grateful to Prof. Stefan Krastanov (University of Massachusetts Amherst) for his guidance and mentorship.

About Me

I am currently working as a open source software developer on a Quantum Error Correction software, under the mentorship of Prof. Stefan Krastanov at the Manning College of Information and Computer Sciences, University of Massachusetts Amherst. My work involves leveraging stabilizer formalism and group theory to implement QEC protocols/codes.

My current comprehensive projects for Quantum Savory organization open source bug bounty program includes the following:

  • Completing the Non-Clifford capabilities: Improvements to non-Clifford functionality and Pauli measurement algorithm for non-stabilizer and stabilizer states
  • Extending the capabilities of Two Block Group Algebra codes: Extending the capabilities of quantum two-block group algebra (2BGA) codes using finitely presented groups and specific group presentations $\langle X \mid S \rangle$
  • Computing the minimum distance of quantum Low Dense Parity Check codes using Linear Programming: Using independent mixed integer linear programming solvers to compute the minimum distance (NP-hard) problem for quantum LDPC codes

In addition, I achieved 3rd position globally at quantum computing UnitaryHack 2024. My supervisors included Dr. Katharine Hyatt from Amazon AWS Quantum team where I developed solutions for Braket.jl and BraketSimulator.jl libraries. I also contributed to the Julia language ErrorCorrection.jl/CodingTheory.jl package by principal developer, Dr. Eric Sabo from Xanadu.

Short Background

I graduated Magna Cum Laude with a Bachelor’s degree in Electrical Engineering, specializing in Computer Engineering, from the National University of Computer and Emerging Sciences (FAST-NUCES), Lahore Campus, Pakistan, in June 2023. Following my graduation, I served as a Research Assistant at the Smart Networking Research Group at FAST-NUCES from February 2023 to February 2024, under the supervision of Prof. Saima Zafar. We achieved a novel milestone by pioneering the first application of High-Level Synthesis for Machine Learning in medical applications. My work was published in IEEE Embedded Systems Letters (Impact Factor: 1.7).

Education

  • B.S. in Electrical Engineering, National University of Computer and Emerging Sciences, in Lahore, Punjab, PK, Fall 2019 - Spring 2023
    • Research Area: Deep Learning Accelerators, High Level Synthesis, Hardware-Software Codesign Workflow
    • Publication: Feroz Ahmad, Saima Zafar, “SoC-Based Implementation of 1D Convolutional Neural Network for 3-Channel ECG Arrhythmia Classification via HLS4ML”. Published in IEEE Embedded Systems Letters Early Access (IEEE ESL).
    • Supervisor: Prof. Saima Zafar in the Smart Networking Research Group (SNRG) at NUCES.

Work experience

  • Open Source Contributor, March 2024 - Present
  • My current projects as part of Quantum Savory organization open source bug bounty program includes the following:
  • I am passionate about quantum error correction, applied mathematics and coding theory.
  • I am deeply grateful to be working under the wonderful mentorship and supervision of Prof. Stefan Krastanov at the Manning College of Information and Computer Sciences, University of Massachusetts Amherst.

  • Open Source Contributor, UnitaryFund Hackathon, June 2024 - June 2024
    • Developed software for Quantum Optimal Control Theory and Amazon-Web-Services (AWS) Braket. 3rd rank globally on unitaryHack 2024 Leaderboard.
    • Contributed to pure Julia Packages only, Top place by Julia contributions globally by any contributor.
    • Packages: Braket.jl, BraketSimulator.jl, Piccolo.jl
  • Research Assistant, NUCES, Feb 2023 - Feb 2024
  • Quantum Computing Scholar, Sep 2023 - April 2024
    • Organization: The Coding School
    • Accepted into The Coding School’s-Qubit by Qubit: Introduction to Quantum Computing course, a two-semester program which provides a comprehensive introduction to quantum computing, covering topics like quantum mechanics, quantum information and computation, and quantum hardware.
    • Semester 1 and 2: Grade: A
  • Quantum Computing Fellow, Sep 2023 - May 2024
    • Organization: Womanium
    • Co-authored a case study titled ’Quantum Solutions Launchpad-Xanadu-Linear Combination of Unitaries decompositions’ with Dr. Mojde Fadaie. Work Arrangement: Remote
    • Authored the following sections in case study namely 1) Quantum Chemistry, 2) Unitarity from Marginal Probability Preservation in Quantum Mechanics, 3) Hamiltonian and Unitary Evolution in Quantum Systems, 4) LCU Method in Quantum Chemistry
  • Global Quantum Computing Scholar, July 2023 - Aug 2023
    • Organization: Womanium
    • 16x Publications on Medium with comprehensive analysis of the fundamentals as well as latest advancements on Superconducting, Neutral Atom, Photonic, Silicon, and Trapped Ion Quantum Computing.
    • Founded Quantum Engineering Publication, to promote Quantum Education In Pakistan.
    • Led Womanium Global Media Project Initiative on LinkedIn, Twitter and Medium.
  • Officier Under Training, June 2022 - Sep 2022
    • Water and Power Development Authority, Pakistan
    • Worked at Ghazi-Barotha and Tarbela powerhouses as OUT, gaining understanding of energy sector operations. Field experience from SIGMA, SWAT, PTESU, and DTESU industries.
    • Completed a literature review of the current emerging technologies in the monitoring of processes in the powerhouse facility.
    • Provided recommendations and suggestions for how Machine Learning can be used to improve the efficiency, reliability, and profitability of hydro power powerhouses.
    • Supervisor: Mr. Ahmad Kamal

Research Interests

  • Research Area: Quantum Error Correction, Non-Clifford Formalism, ML Accelerators
  • I am captivated by interdisciplinary research due to its capacity to blend insights from various fields, utilizing a broad repository of knowledge that is incredibly effective in tackling complex, real-life problems.
  • I am particularly excited about the prospect of collaboratively navigating through the intersections of different domains, fostering a holistic approach that can offer comprehensive and impactful solutions to the multifaceted challenges we face today.