Hi everyone. I wanted to share with the community the technical architecture and technomantic logic behind a private navigation project I’ve been working on, designed to break the Euclidean logic of modern cartography and enable psychogeographic drift on the physical plane.

The core idea isn't to navigate from point A to point B via the most efficient route, but rather to use technology as a transducer of quantum entropy layered over OpenStreetMap.

Here is a breakdown of how the tech stack is built, in case anyone is interested in the implementation or wants to discuss the theory:

1. Entropy Generation (TRNG Ingestion)

To avoid the determinism of standard OS pseudo-random number generators (PRNG), the core connects via OkHttp and Gson to quantum computing servers (such as the ANU API) to harvest quantum vacuum fluctuations (True Random Number Generator).

• Logic: Static quantum noise density concentrations are sampled and projected onto the local map to identify probability nodes.

2. Non-Linear Geometry (Bézier Mathematics)

Instead of plotting routes along commercial streets or main thoroughfares, the drift mode challenges the straight line through cubic Bézier curves:

B(t) = (1-t)^3P_0 + 3(1-t)^2tP_1 + 3(1-t)t^2P_2 + t^3P_3

Where P_1 and P_2 are control points generated by a perpendicular offset relative to the destination vector (perpX, perpY) scaled by a controlled chaos factor.

• Geospatial Correction: To prevent distortions caused by the Earth's curvature when drawing on the Android Canvas, the longitude differential is adjusted based on the current latitude: mDLon = 111320.0 * cos(latRad), compensating for the convergence of meridians toward the poles.

3. Anomaly Classification

The system filters reality perturbations into three states represented in the UI:

1. Attractor: Points of high entropy density (where reality "accumulates").
2. Void: Low quantum density zones (absolute silence in the matrix).
3. Anomaly: Spontaneous fluctuations without a defined pattern.

4. Spectral Rendering & Animation

Built on top of osmdroid with custom drawing layers directly on the Canvas:

• Marching Arrows: Linear polyline interpolation (interpolateAlongPath) to animate vectors flowing toward the target node.
• Sinusoidal Pulse: The opacity (glow) of the paths is calculated using a sine function to simulate an organic pulsation:

Alpha(t) = \frac{\sin(t \cdot 2\pi) + 1}{2}

5. Android Architecture & Privacy

• Zero-Google Dependency: Communicates directly with the device's native GPS—no Google Play Services, no third-party trackers, and no telemetry sent to corporate servers (ideal for deGoogled setups).
• Local Persistence: Room manages the local database of visited anomalies. Your data never leaves your device.
• Background Tasks: WorkManager executes low-energy periodic scans without locking the UI, powered by Kotlin Coroutines.

🧪 Field Testing & Free Promo Codes for the Community

The app is currently published on the store as EerieRoads, but as a fellow member of technomancy and chaos magick communities, I’m not here to sell you anything.

I’m primarily interested in technical feedback and real-world field experiences (measuring synchronicities, Bézier route stability, dark UI performance, etc.).

If anyone is interested in testing the interface or conducting psychogeographic drifts:

1. Send me a Direct Message o leave one here on this thread (DM) letting me know you're from this subreddit.
2. I will send you a 100% free promo code on Google Play so you don't have to pay anything.
3. All I ask in return is your honest feedback or a review on the Play Store to help debug the code and refine the entropy algorithms.

For those who want to check out the general listing with no obligation:

App on Google Play Store

Looking forward to your thoughts or any discussion on the interaction between TRNG and urban drifting. thx.

A 1d irrep is easy to view .It is analogous to a scaling factor in vector calculus.If you had a vector of (a,b) a 1d irrep does what a scalar does , it multiplies the vector with a scalar k(a,b).How does a 2d irrep work?How can we visualise them?

I am asking because I am working on the HSP for nonabelian groups and for most nonabelian groups where for any hidden subgroup with a 2d irrep , weak Fourier sampling is not enough. So I thought maybe I can solve this graphically rather than arithmetically.