Skip to main content

SDK for KOPPU (K-dimensional Organoid Probabilistic Processing Unit)

Project description

KOPPU Logo

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

Python Version License Organoid as a Service


🧠 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 pykoppu Python 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:

  1. Pobit: The fundamental unit of information. A stochastic binary unit implemented by neuronal ensembles.
  2. OPU: The physical cartridge containing the organoid and the MEA interface.
  3. BioASM: The low-level instruction set architecture (ISA) used to control the OPU (e.g., ALC, LDJ, RUN).
  4. OOS: The embedded operating system managing the real-time feedback loop.
  5. pykoppu: The high-level client library for Python.

🚀 Quick Start

Installation

pip install pykoppu

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pykoppu-0.2.30a0.tar.gz (33.8 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

pykoppu-0.2.30a0-py3-none-any.whl (35.3 kB view details)

Uploaded Python 3

File details

Details for the file pykoppu-0.2.30a0.tar.gz.

File metadata

  • Download URL: pykoppu-0.2.30a0.tar.gz
  • Upload date:
  • Size: 33.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.9.6

File hashes

Hashes for pykoppu-0.2.30a0.tar.gz
Algorithm Hash digest
SHA256 f7c88d8b6258a5a899944b7d5fd7b6ebf770f71f3d2f669431bc90cd23c83e6e
MD5 812a69f0b6b8b439c464df195a3304db
BLAKE2b-256 e51732b82f7515a14be5463450a5e153caa2cf5df6e2574efbe3d822f6c60bef

See more details on using hashes here.

File details

Details for the file pykoppu-0.2.30a0-py3-none-any.whl.

File metadata

  • Download URL: pykoppu-0.2.30a0-py3-none-any.whl
  • Upload date:
  • Size: 35.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.9.6

File hashes

Hashes for pykoppu-0.2.30a0-py3-none-any.whl
Algorithm Hash digest
SHA256 2a1e90fe91bc218e72a94dd3160226dc75c78d3208a8cf43e628069cf149f01c
MD5 21151af92e315b5c6e670cb0921c5d54
BLAKE2b-256 4bf39e07666c44326f1f7f88ad445a51ce2dcf5646ae97fafaab221b04c8d39f

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page