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-0.2.31a0.tar.gz (37.1 kB view details)

Uploaded Source

Built Distribution

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

pykoppu-0.2.31a0-py3-none-any.whl (38.2 kB view details)

Uploaded Python 3

File details

Details for the file pykoppu-0.2.31a0.tar.gz.

File metadata

  • Download URL: pykoppu-0.2.31a0.tar.gz
  • Upload date:
  • Size: 37.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.9.6

File hashes

Hashes for pykoppu-0.2.31a0.tar.gz
Algorithm Hash digest
SHA256 80abdc5d7ec844df35f03a395e1e681d6014c2c4e9809706425951d44fe5b3b7
MD5 8380e72b9f72a3ffa502de26f083beaf
BLAKE2b-256 0572013a783686e01408d382fe6491cb2159a5f2b6d430507d7f68d0a3155ed2

See more details on using hashes here.

File details

Details for the file pykoppu-0.2.31a0-py3-none-any.whl.

File metadata

  • Download URL: pykoppu-0.2.31a0-py3-none-any.whl
  • Upload date:
  • Size: 38.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.9.6

File hashes

Hashes for pykoppu-0.2.31a0-py3-none-any.whl
Algorithm Hash digest
SHA256 c4c04485725cdac9ac8500970a07b487d87a89e883841a6e9cd35a2a5d701220
MD5 f2330ea1aecf75eb1ac3bdb85eb4fa80
BLAKE2b-256 cd7de88504b8436ead714824b07cb4611fdd2eedaeb8ef2e08b24250600bff4f

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