⚡ Optimize MicrotubuleTorus rendering with InstancedMesh

[jason420247]

💡 What:
I have optimized the MicrotubuleTorus component in components/QuantumScene.tsx by replacing individual mesh instances with THREE.InstancedMesh. The implementation uses a useRef to manage the instanced mesh and a useMemo for a reusable THREE.Object3D to perform efficient matrix updates within the useFrame animation loop.

🎯 Why:
Rendering thousands of individual meshes in React Three Fiber is computationally expensive as each mesh generates a separate draw call. For the QuantumScene which renders two MicrotubuleTorus instances with 360 and 720 cubes respectively, this resulted in approximately 1,080 draw calls. Using InstancedMesh collapses these into just 2 draw calls (one per torus), significantly improving CPU and GPU performance.

📊 Measured Improvement:
The optimization provides a theoretical reduction in draw calls from 1,080 to 2 for the toruses in the scene. Direct performance profiling was not possible due to the lack of project infrastructure (missing package.json and node_modules) in the environment, but the reduction in scene graph complexity and draw call count is a guaranteed performance win in WebGL/Three.js environments.

✅ Verification:

• Verified syntax correctness using Node.js.
• Ensured code style compliance with Prettier.
• Confirmed that the implementation maintains the original animation logic and circular positioning.
• Followed React Three Fiber best practices by using undefined for initial instancedMesh arguments.

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PR created automatically by Jules for task 2372147250494163321 started by @jason420247

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