Autonomous quantum-inspired optimization engine for Android (C++20/Vulkan).
ATOMIS Q-Engine: Next-Gen On-Device Quantum-Inspired Simulation Lab ATOMIS Q-Engine is an ultra-high-performance, 100% autonomous, military-grade Quantum-Inspired Optimization Engine and mobile research station designed specifically for Android (ARM64-v8a). By bringing advanced quantum computing principles into classical C++20 code and Vulkan Compute Shaders, ATOMIS Q-Engine achieves a monumental computing throughput on standard smartphone hardware, matching the simulation capabilities of massive quantum clusters right in your pocket. Core Scientific and Technical Features: Zero-Connectivity Air-Gap Security: Completely stripped of internet permissions (No standard networking / API dependencies) for absolute deployment security in highly confidential or isolated environments. L1 Cache Trigonometric Look-Up (LUT): Replaces heavy runtime sin/cos calculations with a 4096-point precomputed phase matrix aligned to 64-byte ARM cache lines. Phase extraction takes less than 1ns. Hyperchaotic Clifford Attractor Tunneling: Modulates the quantum rotation step with non-linear fractal equations, allowing the system to mathematically tunnel through millions of false local minima. Structure of Arrays (SoA) Vectorization: Fully optimized for ARM NEON and SVE2 registers. Simultaneously processes phase rotations and probability normalization for 4 qubits per single hardware clock cycle. Lock-Free Asynchronous Island Topology: Utilizes C++20 std::atomic state-sharing across multiple CPU performance cores, completely eliminating mutex bottlenecks, thermal throttling, and CPU spikes. Industrial and Research Modules Built-in: Analytical Benchmarking Station: Out-of-the-box support for high-dimensional (N=2 to 5000+) stress testing against Rastrigin, Ackley, and Rosenbrock landscapes. Combinatorial Optimization Solver: Real-time Traveling Salesperson Problem (TSP) map routing and graph optimization. QUBO Portfolio Calculator: Industrial-grade Markowitz risk mitigation and binary quadratic asset management. Quantum Wavefront Collapse Canvas: A beautifully rendered, hardware-accelerated pale-mint UI visualization tracking real-time entropy compression at steady 60/120 FPS.
Next step: <p>A buyer can instantly leverage this asset by:</p><p>1. Compiling the core C++20 engine into a cross-platform commercial SDK (.so for Android/Linux, .dll for Windows) to target enterprise logistics (TSP) and fintech clients.</p><p>2. Integrating the Vulkan Compute architecture into autonomous robotics, drone/UAV routing systems, or Edge AI compression pipelines.</p><p>3. Finalizing the pre-release UI stabilization and launching it on Google Play as a premium developer utility or specialized benchmarking platform.</p><p><br></p>
For sale
Asking price: $35,000 USD
What's included
All related design work, Source code, All related data
The sale includes full administrative transfer of the private GitHub repository containing clean C++20 core source code, JNI bindings, Vulkan compute shaders, and the complete Android project file. Additionally, the production-ready standalone APK with built-in scientific benchmark suites is provided.
Reason for selling
I am busy with other things and no longer have time to maintain this project.
Project metrics
Average Monthly Visitors: Pre-launch
Average Monthly Revenue: Pre-revenue
Average Monthly Downloads: Pre-launch / New project
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