Alphabeta Math

Quantum Algorithms

74 pages in 7 levels

This category studies quantum algorithms as finite mathematical procedures on explicitly encoded finite-dimensional complex vector spaces. It develops the register, circuit, oracle, probability, and cost interfaces needed to state an algorithm precisely, then proves correctness, termination, success probability, query complexity, gate complexity, and bit complexity as separate results. Early pages cover reversible computation, Fourier sampling, phase estimation, order finding, search, and query lower bounds. Later branches treat quantum walks, Hamiltonian simulation, block encodings, signal processing, singular value transformation, linear systems, sampling, optimization, complexity, communication, and adiabatic computation. The path is deliberately branching: Fourier methods support hidden-subgroup and number-theoretic algorithms, while walk and simulation methods have their own mathematical prerequisites. Each algorithm states its input representation and access model, including the cost of controlled or inverse queries, state preparation, precision, and classical post-processing. A speedup claim is tied to those explicit costs and proved hypotheses. Physical implementations and empirical motivation may be discussed as context, but they do not supply mathematical assumptions or proof steps.

Pathway

Pages are grouped by how many dependency steps into this group they sit. Everything a page needs from this group appears above it.

  1. Level 0

    11 pages
  2. Level 1

    6 pages
  3. Level 2

    9 pages
  4. Level 3

    8 pages
  5. Level 4

    1 page
  6. Level 5

    1 page
  7. Level 6

    1 page