7 Index
List of Tables
1 Chapter 3Table 3.1 Multi‐layer network notation.Table 3.2 Finite impulse response (FIR) multi‐layer network notation.Table 3.3 Variables, for the derivation of gradient withϕ ↔ φ...
2 Chapter 4Table 4.1 An example of the (discrete) membership functions for both antece...
3 Chapter 5Table 5.1 [1] Learning algorithm.Table 5.2 Time complexity of the most expensive instructions of the learnin...
4 Chapter 7Table 7.1 Neural network architecture parameters.
5 Chapter 8Table 8.1 Operation of aCU gate.Table 8.2 Operational of a Toffoli gate.
6 Chapter 9Table 9.1 Quantum depolarizing channels.Table 9.2 Maximum number of computational steps that can be performed witho...
7 Chapter 10Table 10.1 The syndrome table for the two‐qubit code.Table 10.2 The syndrome table for all bit‐flip errors on the three‐qubit co...Table 10.3 The syndrome table for the [[4, 2, 2]] code for all single‐qubit...Table 10.4 The syndrome table for single‐qubit X‐ and Z‐errors on the nine‐...Table 10.5 Stabilizers for the distance 3 planar qubit of Figures 10.9d and...
8 Chapter 17Table 17.1 Expected number of entanglement swaps for ring and grid network ...Table 17.2 Comparison of the number of qubits that have to be stored in a d...
List of Illustrations
1 Chapter 2Figure 2.1 If X and Y are two jointly normally distributed random variables,...Figure 2.2 The regression line for predicting Y* from X* is not the 45° line...Figure 2.3 Decision tree.Figure 2.4 Tree terminology.Figure 2.5 Data classification.Figure 2.6 Classification with outliers.Figure 2.7 Classifiers with nonlinear transformations.Figure 2.8 Illustration of the nearest neighbor (NN) classification algorith...Figure 2.9 Illustration of the plane partitioning of a two‐dimensional datas...Figure 2.10 Illustration of the nearest neighbor (NN) decision boundary.