QGSS Lab Work
This repository contains key labs completed during the Quantum Graduate Summer School (QGSS). These labs demonstrate applied quantum computing using Qiskit, executed both on simulators and real IBM Quantum devices.
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Lab 0 – Gates and Superposition
Focus: Z gate on |+⟩ and |−⟩, state analysis, backend selection (Brisbane), and execution comparisons under noise. -
Lab 1 – Grover's Algorithm
Focus: Oracle design, Grover iteration visualization, amplitude amplification, and measurement probabilities. -
Lab 2 – QAOA for Portfolio Optimization
Focus: Cost Hamiltonians, optimization of asset allocation, variational angle tuning using QAOA ansatz.
- Qiskit & IBMQ backend
- Python 3.11
- Qbraid IDE
- Real quantum devices (ibmq_brisbane)
RealDevice_Execution_Screenshot.png: Evidence of execution on real hardware (noise-aware backend)
Freelancer and AI researcher with focused training in Quantum Computing through QGSS. Specializing in QAOA, Grover’s search, and quantum noise analysis for practical applications.