TransistorMesh

Inspiration

What it does

How we built it

Challenges we ran into

Accomplishments that we're proud of

What we learned

What's next for TransistorMesh

Inspiration

TransistorMesh asks a focused question: can logic and memory be represented as a self-describing fabric without requiring specialized hardware? The result is a runnable software model that students can inspect and challenge.

What we built

The emulator models bit-addressable cube cells, a metadata plane, local Boolean operations, deterministic serialization, and corruption checks. The quantum-inspired layer adds reproducible phase mixing and seeded measurement histograms. These are classical simulations for education; the project makes no quantum-hardware or speedup claim.

How it works

1. Address a cube cell and attach metadata.
2. Run a local operation and serialize the payload.
3. Record operand/output hashes and deterministic replay status.
4. Compare the model with a simpler byte representation in the benchmark.

Implementation

The repository is dependency-free Python 3.10+ with unit tests, a benchmark, a formal design note, an MIT license, and explicit safety boundaries. Codex/ChatGPT assisted with scaffolding and documentation, as disclosed for this student event.

What we learned

A precise emulator creates a better starting point for future comparison with real memory architectures than an unsupported physical claim.

Built With

• emulator
• logic-memory
• mit
• python
• quantum-inspired
• reproducible-research
• testing