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-0.2.15a0.tar.gz (23.3 kB view details)

Uploaded Source

Built Distribution

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

pykoppu-0.2.15a0-py3-none-any.whl (22.9 kB view details)

Uploaded Python 3

File details

Details for the file pykoppu-0.2.15a0.tar.gz.

File metadata

  • Download URL: pykoppu-0.2.15a0.tar.gz
  • Upload date:
  • Size: 23.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.0a7

File hashes

Hashes for pykoppu-0.2.15a0.tar.gz
Algorithm Hash digest
SHA256 a2aca3425e0598b4e22a7b841b7de97b21b19203aa64fd6ab7d85c605b492c38
MD5 1fb4ad809be444d11b5d733ccbb0131a
BLAKE2b-256 8cd3bbffa2f5e379725e4324588dec90fbb6ecbf130e5ee2d4f4ddc37490d083

See more details on using hashes here.

File details

Details for the file pykoppu-0.2.15a0-py3-none-any.whl.

File metadata

  • Download URL: pykoppu-0.2.15a0-py3-none-any.whl
  • Upload date:
  • Size: 22.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.0a7

File hashes

Hashes for pykoppu-0.2.15a0-py3-none-any.whl
Algorithm Hash digest
SHA256 ae0ff5f6fe1571900ac7d5bd7d5aede54508a230c5deba379f8ba971bc1ed4ae
MD5 47a54449a0e94e83b368b3a23a56a795
BLAKE2b-256 7ef6a38627a7cf53e0d107b59fb39f973afa41016869ce9257c7af4517a71aeb

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