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⚛️Quantum computing fundamentals

What a qubit actually is mathematically, how entanglement and circuits compose, the hardware approaches and their trade-offs, why error correction is the central engineering problem, where algorithmic quantum speedup lives, and how cryptography adapts. Six lessons, math-load-bearing, with no predictions about timelines.

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Lessons in order

  1. 1
    Science
    Superposition and the qubit
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  2. 2
    Science
    Entanglement, gates, and the circuit model
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  3. 3
    Science
    Hardware approaches: superconducting, ion, photonic, atomic, spin
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  4. 4
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    Errors, syndromes, and the surface code
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  5. 5
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    Algorithms where quantum beats classical (and where it doesn't)
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  6. 6
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    Post-quantum cryptography: lattices, codes, and the migration
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