Physics Researcher | Quantum Computing | Quantum Optimization | Quantum Simulation

Physics researcher at Government College University Lahore, Pakistan, working at the intersection of quantum computing, computational physics, and optimization.

My research interests include QAOA, VQE, Hamiltonian simulation, QUBO optimization, quantum machine learning, noise-aware quantum simulation, and real IBM Quantum hardware experiments.

Quantum Computing for Network Signal Optimization and Resource Allocation

• ⚛️ Real IBM Quantum Hardware: 9-qubit QAOA experiment executed on ibm_kingston
• 🔬 Hamiltonian Simulation: computational study of quantum spin systems
• 🧪 Noise-Aware VQE: molecular Hamiltonian eigensolver simulations
• 🧠 Quantum Machine Learning: parameterized quantum-circuit workflows
• 📡 Quantum Optimization: network signal and resource-allocation research

• Quantum Computing
• Quantum Algorithms
• Quantum Optimization and QUBO
• QAOA and Variational Quantum Algorithms
• VQE and Molecular Hamiltonians
• Hamiltonian Simulation
• Quantum Machine Learning
• Computational Physics
• Noise-Aware Quantum Simulation
• Quantum Resource Allocation and Network Optimization

Contributed to the WISER Distributed Order Management Quantum Challenge through model validation, reproducibility improvements, QUBO/QAOA analysis, and real quantum-hardware evaluation.

A reduced 9-qubit QAOA optimization circuit was executed on the physical IBM Quantum ibm_kingston processor using 4,096 shots.

Highlights

• QUBO-based optimization
• QAOA with Qiskit
• Classical exact-solver validation
• IBM Quantum Runtime
• Real QPU execution
• Reproducible hardware experiment

Research project focused on computational simulation of quantum spin systems, including Hamiltonian modelling and numerical analysis of spin dynamics.

Exploration of VQE-based molecular Hamiltonian simulation under ideal and noisy quantum-computing conditions.

Implementation and study of quantum machine-learning workflows using Qiskit and parameterized quantum circuits.

Application of computational and quantum-inspired techniques to modelling and optimization problems beyond conventional quantum simulation.

Quantum Computing: Qiskit, Qiskit Runtime, QAOA, VQE, quantum circuits, Hamiltonian modelling Programming: Python, Jupyter Notebook Scientific Computing: NumPy, SciPy, Pandas Optimization: QUBO, MILP, classical/quantum optimization workflows Research: Computational physics, numerical simulation, scientific writing, reproducibility

I am currently developing my research profile toward:

**Quantum Information and Quantum Computation, Quantum Machine Learning and Open Quantum Systems **

with an emphasis on comparing classical optimization, QUBO formulations, quantum algorithms, noisy simulation, and eventually reduced-instance execution on real quantum hardware.

• Name: Muhammad Mudassar
• GitHub: Mudassar4373
• Location: Pakistan
• Institution: (BS(Honors)-Physics) from Government College University Lahore, Pakistan& Lahore & MS-Physics from Universisty of Management Sciences, Lahore, Pakistan
• Research areas: Quantum Computing · Computational Physics · Quantum Optimization

Building reproducible quantum-computing workflows from physical models and optimization problems.