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superconducting-qubits-journey

A from-scratch, beginner-friendly tutorial on superconducting qubits, plus the papers I'd hand a newcomer.


👋 Hey there

I'm a PhD student working on superconducting qubits, and this repo is my attempt to write the introduction I wish I'd had when I started. It's a tutorial built from scratch, no assumed background beyond undergraduate physics and a little linear algebra, meant for anyone who wants to pick up the field and actually understand why the hardware looks the way it does.

I wrote every explanation in my own words, teaching standard, publicly known physics. Where it helps, I point you to the canonical reviews and textbooks so you can go deeper. My goal is simple: take you from "what is a qubit?" all the way to a first look at quantum error correction, one chapter at a time.

If you find it useful, a ⭐ genuinely makes my day, and corrections are always welcome.


📖 The tutorial

Start with the index, then work through the chapters in order. Each one builds on the last.

# Chapter
01 Introduction: Why Superconducting Qubits
02 The Quantum LC Oscillator
03 The Josephson Junction & Anharmonicity
04 The Transmon Qubit
05 Circuit QED: Qubits + Resonators
06 Dispersive Readout
07 Single-Qubit Gates & Control
08 Two-Qubit Gates
09 Coherence, Noise & Decoherence
10 The Cryogenic & Microwave Chain
11 Calibration & Benchmarking
12 A First Look at Quantum Error Correction

🧪 Hands-on labs

Reading is good, but doing sticks. The hands-on/ track lets you simulate the physics on your own laptop with QuTiP, each lab paired with the chapter it brings to life:

Lab You simulate Theory
Bloch sphere qubit states and a driven trajectory ch07
Rabi oscillations a qubit flipping under a drive ch07
T1 and T2 relaxation and Ramsey dephasing ch09
Dispersive readout IQ separation of the qubit states ch06

Every script runs as-is after pip install qutip matplotlib numpy scipy. Running on real hardware with Qiskit and Qibocal is on the roadmap.


🚀 Recommended papers / start here

If you read nothing else, read these two. They're the reviews I recommend to every newcomer, and they pair naturally with the chapters above:

  • A Quantum Engineer's Guide to Superconducting Qubits, Krantz et al., 2019 → arXiv:1904.06560
  • Superconducting Qubits: Current State of Play, Kjaergaard et al., 2020 → arXiv:1905.13641

For the full annotated reading list, organized roughly to follow the tutorial, see reading-list/README.md.

📎 Papers are linked, not re-hosted, so copyright stays with the original authors and publishers. Please access them through arXiv or the publisher.


🎯 Who this is for

  • Students or researchers moving into superconducting quantum hardware from another field.
  • Software/quantum-information people who want to understand the device underneath the abstractions.
  • Anyone curious who has undergraduate physics and wants a guided, self-contained on-ramp.

You do not need prior quantum-hardware experience. Comfort with basic quantum mechanics, linear algebra, and electrical circuits is enough.

🧭 How to use it

  • Read in order. Each chapter assumes the previous ones.
  • Keep the two reviews open alongside the tutorial, the chapters are meant to make those papers easier to read, not to replace them.
  • Follow the references at the end of each chapter when you want depth.
  • Treat all numbers as illustrative. Any figures I quote are generic, order-of-magnitude values to build intuition, real devices vary widely, so always check current literature for specifics.

🤝 Contributing

This is a living document and I'd love help making it clearer and more correct.

  • Spotted an error, an unclear explanation, or a broken link? Open an issue.
  • Want to improve a chapter or suggest a paper for the reading list? Open a pull request.
  • Found it useful? A is appreciated and helps others discover it.

Contributions should stay original and cite only public sources (arXiv, textbooks, well-known reviews).

📜 License

Everything in this repo (the tutorial writing, reading-list annotations, and the example code) is released under Creative Commons Attribution 4.0 (CC BY 4.0). Reuse and adapt freely, just credit back. See LICENSE.

Linked papers remain under the copyright of their respective authors and publishers; they are referenced here, not redistributed.


📫 Questions or suggestions: open an issue · maintained under the handle Iamsohungrynow.

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