The world's first full-stack bio-hybrid computing architecture for massive parallel solving of k-PUBO optimization problems.
Explore the Docs »
Koppu Cloud (OaaS)
·
Quick Start
·
Architecture
🧠 Overview
KOPPU represents a paradigm shift in non-von Neumann computing. Situated as a strategic "Middle Path" between the energy inefficiency of classical silicon bit-flipping and the decoherence fragility of quantum qubits, KOPPU leverages the intrinsic stochasticity of biological neural networks to solve NP-hard problems.
At the heart of the system is the OPU (Organoid Processing Unit), a bio-processor composed of human cerebral organoids interfaced via High-Density Multi-Electrode Arrays (HD-MEA).
By manipulating pobits (Probabilistic Organoid Bits), the system effectively searches complex energy landscapes to minimize k-PUBO (Polynomial Unconstrained Binary Optimization) Hamiltonians, offering massive parallelism at physiological temperatures.
✨ Key Features
- Bio-Hybrid Hardware: Uses living biological tissue as the primary computational substrate.
- Native k-PUBO Solver: Solves high-order polynomial optimization problems without the overhead of reduction to quadratic forms.
- Full-Stack Ecosystem: From the
pykoppuPython SDK down to the BioASM machine code and the OOS (Organoid Operating System). - OaaS (Organoid as a Service): Access real biological hardware or digital twins via the koppu.io cloud platform.
- Energy Efficient: Computes using metabolic energy, orders of magnitude more efficient than GPUs for specific stochastic tasks.
🏗️ System Architecture
The KOPPU ecosystem consists of several abstraction layers:
- Pobit: The fundamental unit of information. A stochastic binary unit implemented by neuronal ensembles.
- OPU: The physical cartridge containing the organoid and the MEA interface.
- BioASM: The low-level instruction set architecture (ISA) used to control the OPU (e.g.,
ALC,LDJ,RUN). - OOS: The embedded operating system managing the real-time feedback loop.
- pykoppu: The high-level client library for Python.
🚀 Quick Start
Installation
pip install pykoppu
1 maintainer
Metadata
1 maintainer
Release files for pykoppu 0.2.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| pykoppu-0.2.1.tar.gz | 22.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pykoppu-0.2.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 43.5 kB
Release files / pykoppu-0.2.1.tar.gz
| Download URL | pykoppu-0.2.1.tar.gz |
|---|---|
| Size | 22.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
15b3ea7923ca00295e99db3fab3c85913ed781d00904f0adf506282dbe98e419
|
|
BLAKE2b-256 checksum How to use checksums |
2e2a4971a8c898570cae68bc1b5591796e6b9e3fdc2f77ed273a9673d90b4aef
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.14.0a7
|
Release files / pykoppu-0.2.1-py3-none-any.whl
| Download URL | pykoppu-0.2.1-py3-none-any.whl |
|---|---|
| Size | 21.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
a7ed82eaad697e7a760a75799595369835541119727a478ed2600eaedb6e2c49
|
|
BLAKE2b-256 checksum How to use checksums |
bc50b77a96e532c1d18f4f4c7746cdc6a9528cc055eb54d6fa43b98c6677537e
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.14.0a7
|
