Quantum Computing Researcher (Entry-Level) | Python | Qiskit | Linear Algebra | AI/Cloud Engineering
I’m a self-driven quantum computing learner with a strong foundation in mathematics, physics, and computer science.
I publish structured quantum algorithm notebooks using Qiskit 2.x and teach quantum concepts on my YouTube channel Quantum-Satya.
- Basics of Quantum Information
- Practical Introduction to Quantum-Safe Cryptography
- Kubernetes Applications
- Secure Google Cloud Network
- Load Balancing
- App Deployment
- Vertex AI Search & Conversation
- Prompt Engineering
- Text Prompt Engineering Techniques
- Quantum: Qiskit 2.x, Statevector, Circuit Design
- Math: Linear Algebra, Dirac Notation, Complex Numbers
- Programming: Python, NumPy, Matplotlib, Jupyter
- Cloud & AI: Google Cloud, Kubernetes, Vertex AI Tools
- Other: Git, Linux, Teaching, Documentation
| Repository | Description |
|---|---|
| quantum-algorithms | Step-by-step implementations of Deutsch, Deutsch–Jozsa, Grover, and Simon algorithms |
| qiskit-101 | Beginner-friendly Qiskit tutorials and exercises |
| quantum-learning | My self-study journey in Quantum Computing, Quantum Mechanics, and Linear Algebra |
| Qfinbox_portfolio | Transform the portfolio optimization problem into a Binary Quadratic Model (BQM) using D-Wave Quantum Annealing algorithm. |
| Solutions_QCforCS | Solutions and programming drills from the book "Quantum Computing for Computer Scientists" by Noson S. Yanofsky and Mirco A. Mannucci. |
More repos coming soon: Shor, Grover advanced, Quantum AI demos
- Implementing quantum algorithms in Qiskit
- Preparing portfolio for quantum software roles
- Building a series of tutorials for learners in India
- 🌐 GitHub: https://github.com/quantum-satya
- 💼 LinkedIn: linkedin.com/in/quantumsatya
▶️ YouTube: @quantumsatya- 📧 Email: satya.pal@falcon9.in
“Quantum computing is not just coding; it’s a new way of thinking about computation.” — Satya Pal
