Quantum Computing — Index

Quantum Computing — Index

Summary

This folder is a structured set of notes to go from zero → competent in quantum computing, with a practical bias: what quantum computers are, what they’re good for, why they’re hard to build, and how the field evolved. It includes a company deep-dive on Alice & Bob (cat qubits, biased noise, and their error-correction approach).

How to use this

• If you want a fast “map”: skim 02-evolution-timeline.md + 01-what-is-quantum-computing.md.
• If you want real understanding: do the learning path below in order.
• If you care about industry: read 06-hardware-modalities.md, 07-error-correction-ftqc.md, then 08-alice-and-bob.md.

Learning path (recommended order)

1. 01-what-is-quantum-computing.md
2. 02-evolution-timeline.md
3. 03-quantum-mechanics-primer.md
4. 04-qubits-and-measurement.md
5. 05-gates-circuits-and-models.md
6. 06-hardware-modalities.md
7. 07-error-correction-ftqc.md
8. 08-alice-and-bob.md
9. 09-cryptography-qkd-and-pqc.md
10. 10-glossary.md
11. 11-resources.md

What “quantum advantage” means (quick)

• Speedup is problem-dependent: quantum computers aren’t “faster computers”; they are different machines with different cost models.
• Practical advantage often requires fault tolerance (error-corrected logical qubits), not just more physical qubits.
• Most current devices are NISQ (Noisy Intermediate-Scale Quantum): useful for research, limited for reliable long computations.

Open questions to keep in mind

• What applications still need FTQC vs which might work in NISQ/hybrid regimes?
• Which hardware approach scales fastest while hitting fault-tolerance thresholds?
• How big is the “overhead gap” between a lab demo and a useful logical-qubit machine?

References

• Wikipedia timeline (orientation only): https://en.wikipedia.org/wiki/Timeline_of_quantum_computing_and_communication