NTT-learning/notebooks/butterfly_mechanics/04_fast_inverse_gs/lab.ipynb

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      "cell_type": "markdown",
      "metadata": {
        "pedagogy": {
          "role": "meta",
          "difficulty": 1,
          "kind": "orientation",
          "title": "Lab Goals"
        }
      },
      "source": "## META | difficulty 1 | Lab Goals\n\nPredict the BO input and the final scaling before you run the stage explorer.\n"
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "pedagogy": {
          "role": "mandatory",
          "difficulty": 3,
          "kind": "exercise",
          "title": "Exercise 1"
        }
      },
      "source": "## MANDATORY | difficulty 3 | Exercise 1\n\nExplain before running the next cell:\n\n- why the GS input must be BO in the standard schedule\n- why the unscaled output is not yet the original signal\n"
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "pedagogy": {
          "role": "mandatory",
          "difficulty": 3,
          "kind": "exercise",
          "title": "Prediction Check"
        }
      },
      "outputs": [],
      "source": "# MANDATORY | difficulty 3 | Prediction Check\n\nfrom IPython.display import display\n\nfrom ntt_learning.toy_ntt import fast_intt_psi_gs_trace\nfrom ntt_learning.visuals import interactive_trace\n\ntrace = fast_intt_psi_gs_trace([1467, 3471, 2807, 7621], 7681, 1925)\ndisplay(interactive_trace(trace, title=\"Check your GS prediction\"))\n"
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "pedagogy": {
          "role": "mandatory",
          "difficulty": 3,
          "kind": "exercise",
          "title": "Exercise 2"
        }
      },
      "source": "## MANDATORY | difficulty 3 | Exercise 2\n\nPredict the bit-reversal of `[0,1,2,3,4,5,6,7]` before running the next cell.\n"
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "pedagogy": {
          "role": "mandatory",
          "difficulty": 3,
          "kind": "exercise",
          "title": "Prediction Check For Ordering"
        }
      },
      "outputs": [],
      "source": "# MANDATORY | difficulty 3 | Prediction Check For Ordering\n\nfrom ntt_learning.toy_ntt import bit_reversed_order\n\nprint(bit_reversed_order([0, 1, 2, 3, 4, 5, 6, 7]))\n"
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "pedagogy": {
          "role": "mandatory",
          "difficulty": 2,
          "kind": "reflection",
          "title": "Reflection"
        }
      },
      "source": "## MANDATORY | difficulty 2 | Reflection\n\nReflection prompt:\n\n- Which part of GS felt like a true inverse to you?\n- Which part felt like pure bookkeeping?\n- Why is the ordering story impossible to ignore?\n"
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "pedagogy": {
          "role": "facultative",
          "difficulty": 4,
          "kind": "exploration",
          "title": "Optional: Explore Another BO Input"
        }
      },
      "outputs": [],
      "source": "# FACULTATIVE | difficulty 4 | Optional: Explore Another BO Input\n\nimport ipywidgets as widgets\nfrom IPython.display import display\n\nfrom ntt_learning.toy_ntt import fast_intt_psi_gs_trace\nfrom ntt_learning.visuals import interactive_trace\n\ndef preview(x0=1467, x1=3471, x2=2807, x3=7621):\n    trace = fast_intt_psi_gs_trace([x0, x1, x2, x3], 7681, 1925)\n    display(interactive_trace(trace, title=\"Interactive GS trace\"))\n\ndisplay(\n    widgets.interact(\n        preview,\n        x0=(0, 7680),\n        x1=(0, 7680),\n        x2=(0, 7680),\n        x3=(0, 7680),\n    )\n)\n"
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "pedagogy": {
          "role": "meta",
          "difficulty": 1,
          "kind": "handoff",
          "title": "Next Notebook"
        }
      },
      "source": "## META | difficulty 1 | Next Notebook\n\nNext notebook: `problems.ipynb`\n"
    }
  ],
  "metadata": {
    "kernelspec": {
      "display_name": "Python 3",
      "language": "python",
      "name": "python3"
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    "language_info": {
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    "ntt_learning": {
      "title": "Lab: Fast Inverse GS",
      "contract_version": "0.2",
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