docker-compose.yml

services:
  notebook:
    # Always built locally from the Dockerfile, never pulled from a registry.
    # To use the prebuilt image instead, see docker-compose.prebuilt.yml.
    image: quantum-lab:local
    build: .
    pull_policy: build
    ports:
      - "127.0.0.1:8888:8888"   # only reachable from your own machine
    volumes:
      - ./notebooks:/home/quantum/work
    environment:
      JUPYTER_TOKEN: ${JUPYTER_TOKEN:-quantum}
      QCS_SETTINGS_APPLICATIONS_QVM_URL: http://qvm:5000
      QCS_SETTINGS_APPLICATIONS_QUILC_URL: tcp://quilc:5555
    depends_on:
      - qvm
      - quilc

  # Rigetti's simulator and compiler, used by pyQuil.
  qvm:
    image: rigetti/qvm:latest
    platform: linux/amd64   # x86-only image; Docker Desktop emulates it on Apple Silicon
    command: -S

  quilc:
    # Multi-arch image (amd64 + arm64): runs natively on Apple Silicon.
    # Don't force linux/amd64 here; quilc freezes under emulation.
    image: rigetti/quilc:latest
    command: -R

  # Qanvas, the visual circuit builder: https://github.com/Ethan-Rivas/qanvas
  qanvas:
    image: ghcr.io/ethan-rivas/qanvas:0.2.1
    ports:
      - "127.0.0.1:8080:8080"   # only reachable from your own machine
    environment:
      QANVAS_BRIDGE_URL: http://lab-bridge:8000   # Qanvas forwards /api/ here
    depends_on:
      - lab-bridge

  # Lets Qanvas save notebooks into notebooks/qanvas/. No published port: only Qanvas reaches it.
  lab-bridge:
    image: quantum-lab:local
    pull_policy: never   # the image the notebook service builds
    command: ["python", "/opt/quantum-lab/bridge.py"]
    volumes:
      - ./notebooks:/home/quantum/work
    environment:
      JUPYTER_TOKEN: ${JUPYTER_TOKEN:-quantum}
      BRIDGE_JUPYTER_URL: http://127.0.0.1:8888   # where your browser opens JupyterLab
    depends_on:
      - notebook