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-0.2.9a0.tar.gz (22.3 kB view details)

Uploaded Source

Built Distribution

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

pykoppu-0.2.9a0-py3-none-any.whl (21.7 kB view details)

Uploaded Python 3

File details

Details for the file pykoppu-0.2.9a0.tar.gz.

File metadata

  • Download URL: pykoppu-0.2.9a0.tar.gz
  • Upload date:
  • Size: 22.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.0a7

File hashes

Hashes for pykoppu-0.2.9a0.tar.gz
Algorithm Hash digest
SHA256 6c970b41839c72883b1b312802375cb9993d5134b8b3798554a45928d35c9868
MD5 e55aa4ebf3d7b9f9e8c8507a8be4e49c
BLAKE2b-256 a078b6cde7fe8606cfa6b82952c56c3a766e85efc0b160dfa090f822df0eec23

See more details on using hashes here.

File details

Details for the file pykoppu-0.2.9a0-py3-none-any.whl.

File metadata

  • Download URL: pykoppu-0.2.9a0-py3-none-any.whl
  • Upload date:
  • Size: 21.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.0a7

File hashes

Hashes for pykoppu-0.2.9a0-py3-none-any.whl
Algorithm Hash digest
SHA256 826e07300b4f2e6c9cbb1ef4620e8f7a5c7ffac551a5da6119c20d19e7c2292e
MD5 007341ee028405e53e916f9f96e2bffc
BLAKE2b-256 f7b909beb754148787164bed73e0587119f096bb75a7c59f5cd7a89e52990a69

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