Topological ManifoldsMarzio De Corato
10 / Variations and measurements

Variations and measurements.

Change the parameters to observe how the representations vary and compare the resulting values with their defining relations; each experiment’s notes describe the limits of its interpretation.

Observe and compare

State of a qubit

Changing θ varies the probabilities of a measurement in the computational basis, while φ describes the relative phase, which can be distinguished in other measurement bases; the vector represents a pure state in a projection of the sphere.

State of a qubit

Angles are expressed in degrees; the vector represents the prepared state and the displayed probabilities refer to the {|0⟩, |1⟩} basis.

|ψ⟩ = cos(θ/2)|0⟩ + eⁱᵠ sin(θ/2)|1⟩; P(0) = cos²(θ/2)

Model, assumptions and references ↗
Observe and compare

Superposition and phase

Compare the two contributions with their sum while changing phase and amplitude, observing how peaks and troughs reinforce or cancel each other over the same spatial interval.

Superposition and phase

The diagram represents two harmonic waves of equal frequency at a fixed instant; A is relative to the first wave and x is measured in radians.

u₁(x) = cos x; u₂(x) = A cos(x + φ); u(x) = u₁(x) + u₂(x)

Model, assumptions and references ↗
Observe and compare

Probability and threshold

The surface retains the same function while you move the threshold, allowing you to compare a point’s changing assigned class with its unchanged probability value.

Probability and threshold

An analytic example on x,y ∈ [−2,2], independent of experimental data; the grid samples the function and the plane indicates threshold τ.

p(x,y) = 1 / (1 + exp[−(1.2x − 0.5y + 0.45xy)]); class 1 ⇔ p ≥ τ

Model, assumptions and references ↗

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Graph theory and cyber-attacks

Unaffected nodeCompromised node

When devices, services and identities are described through their relationships, system security can be studied as a structural problem in which both a vulnerability and the paths through which it could expose other resources matter.

From connections to attack paths

A graph G = (V, E) consists of vertices V and edges E. In an asset network, vertices may represent devices or services, while edges describe connections, dependencies or trust relationships. An attack graph instead represents conditions, actions or system states, depending on the model, to examine how several steps can combine into a compromise.

G = (V, E)

The analogy with an epidemic helps illustrate how a compromise can spread between nodes, provided that the conditions for each transition are considered. Credentials, permissions, vulnerabilities and configurations determine which paths are feasible; a connection alone describes a possibility of communication.

How this supports defence

Path analysis helps identify the resources reachable from an initial position and the connections that form critical passages. Comparing the graph before and after a change shows how network segmentation, reduced privileges or a vulnerability fix can interrupt particular sequences. A node’s importance depends on its role and context, so its number of connections gives only a partial account of risk.

Reading this figure

Red nodes marked with a cross represent compromised systems in the scenario; green nodes remain unaffected, while pale pulses follow the propagation paths. The map provides a conventional geographical layout for an illustrative network whose links and timing are constructed to clarify the phenomenon. It does not show observed attacks or estimate compromise probabilities.

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Scientific formulas

Relations, assumptions and study references. These are not empirical results from the author’s research.

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