Foreword |
|
viii | |
|
Thermodynamics and Information Theory |
|
|
1 | (48) |
|
|
|
|
1 | (1) |
|
2 Thermodynamics: A Brief Review |
|
|
2 | (14) |
|
3 Equilibrium and Non-equilibrium Dynamics |
|
|
16 | (9) |
|
4 The Gallavotti--Cohen Fluctuation Theorem for Markovian Thermodynamics |
|
|
25 | (2) |
|
5 Non-equilibrium Work Identities |
|
|
27 | (6) |
|
|
33 | (2) |
|
7 Thermodynamics and Information: The Maxwell Demon |
|
|
35 | (5) |
|
|
40 | (1) |
|
A Large Deviations and Cumulant Generating Functions |
|
|
41 | (1) |
|
B Proof of the Jarzynski Formula for Hamiltonian Dynamics |
|
|
42 | (2) |
|
|
44 | (5) |
|
This is IT: A Primer on Shannon's Entropy and Information |
|
|
49 | (38) |
|
|
1 Shannon's Life as a Child |
|
|
49 | (1) |
|
|
50 | (1) |
|
3 Intelligence or Information? |
|
|
50 | (1) |
|
4 Probabilistic, not Semantic |
|
|
50 | (1) |
|
5 The Celebrated 1948 Paper |
|
|
51 | (1) |
|
|
52 | (1) |
|
|
53 | (1) |
|
|
54 | (1) |
|
9 An Axiomatic Approach to Entropy |
|
|
54 | (1) |
|
|
55 | (1) |
|
|
56 | (1) |
|
12 No One Knows What Entropy Really Is |
|
|
57 | (1) |
|
13 How Does Entropy Arise Naturally? |
|
|
58 | (1) |
|
14 Shannon's Source Coding Theorem |
|
|
59 | (1) |
|
|
60 | (1) |
|
16 Change of Variable in the Entropy |
|
|
61 | (1) |
|
17 Discrete vs. Continuous Entropy |
|
|
61 | (2) |
|
18 Most Beautiful Equation |
|
|
63 | (1) |
|
|
63 | (1) |
|
20 A Fundamental Information Inequality |
|
|
64 | (1) |
|
|
65 | (1) |
|
22 Relative Entropy or Divergence |
|
|
66 | (1) |
|
23 Generalized Entropies and Divergences |
|
|
67 | (1) |
|
24 How Does Relative Entropy Arise Naturally? |
|
|
68 | (1) |
|
|
69 | (1) |
|
|
70 | (2) |
|
27 Kolmogorov Information |
|
|
72 | (1) |
|
28 Shannon's Mutual Information |
|
|
72 | (2) |
|
29 Conditional Entropy or Equivocation |
|
|
74 | (1) |
|
30 Knowledge Reduces Uncertainty -- Mixing Increases Entropy |
|
|
74 | (1) |
|
31 A Suggestive Venn Diagram |
|
|
75 | (1) |
|
32 Shannon's Channel Coding Theorem |
|
|
76 | (2) |
|
33 Shannon's Capacity Formula |
|
|
78 | (1) |
|
34 The Entropy Power Inequality and a Saddle Point Property |
|
|
79 | (1) |
|
35 MaxEnt vs. MinEnt Principles |
|
|
80 | (1) |
|
36 A Simple Proof of the Entropy Power Inequality |
|
|
80 | (2) |
|
|
82 | (1) |
|
|
82 | (5) |
|
Landauer's Bound and Maxwell's Demon |
|
|
87 | (26) |
|
|
|
87 | (4) |
|
2 Experimental Implementations |
|
|
91 | (7) |
|
3 Extensions to the Quantum Regime |
|
|
98 | (3) |
|
|
101 | (1) |
|
A Stochastic thermodynamics and information energy cost |
|
|
102 | (4) |
|
B Setup Used in the Exteriment Presented in Section 2.2 |
|
|
106 | (3) |
|
|
109 | (4) |
|
Verification of Quantum Computation: An Overview of Existing Approaches |
|
|
113 | (90) |
|
|
|
|
|
113 | (10) |
|
2 Prepare-and-Send Protocols |
|
|
123 | (24) |
|
3 Receive-and-Measure Protocols |
|
|
147 | (8) |
|
4 Entanglement-based Protocols |
|
|
155 | (26) |
|
|
181 | (5) |
|
|
186 | (3) |
|
|
189 | (14) |
References |
|
203 | |