October 2022
Intermediate to advanced
442 pages
9h 37m
English
Content preview from Quantum Machine Learning and Optimisation in Finance
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Standard notations
| ℂ | Complex numbers |
| ℋ | Hamiltonian |
| ℐ | Identity operator |
| log | Natural logarithm |
| log 2 | Logarithm base 2 |
| ℕ | Natural numbers |
| ℙ | Probability |
| 𝒫 | Projection operator (measurement operator) |
| q | Vector of binary variables, q := (q1,…,qN), (qi ∈{0,1})i=1,…,N |
| ℝ | Real numbers |
| s | Vector of spin variables, s := (s1,…,sN), (si ∈{−1,+1})i=1,…,N |
| σαi | Pauli operator (α ∈{x,y,z}) acting on qubit i |
| u | Variable (scalar) |
| u | Column vector |
| u⊤ | Transpose of a column vector |
| u∗ | Complex conjugate of a column vector |
| |u⟩ | Ket: column vector in Dirac notation |
| ⟨u| | Bra: complex conjugate transpose of column vector in Dirac notation |
| ⟨u|v⟩ | Inner product |
| |u⟩⟨v| | Outer product ... |
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.