{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "d4948aba",
   "metadata": {},
   "source": [
    "# Tutorial: From Qiskit 2.0 Scheduled Circuit to Frame-Tracked I/Q Waveforms\n",
    "\n",
    "This tutorial demonstrates the complete workflow of `qiskit-waveform-sim`:\n",
    "\n",
    "1. Create and schedule a quantum circuit using Qiskit 2.0\n",
    "2. Compile the waveform simulator with exact Virtual-Z frame tracking\n",
    "3. Extract sample-precise I/Q waveforms using lazy windowed evaluation\n",
    "4. Visualize with interactive Pulse Sheet and I/Q Oscilloscope"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "80339bf3",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-10-04T19:13:28.896578Z",
     "iopub.status.busy": "2026-10-04T19:13:28.896425Z",
     "iopub.status.idle": "2026-10-04T19:13:29.772290Z",
     "shell.execute_reply": "2026-10-04T19:13:29.771606Z"
    }
   },
   "outputs": [],
   "source": [
    "# Install if needed\n",
    "# %pip install qiskit-waveform-sim -q\n",
    "\n",
    "import numpy as np\n",
    "from qiskit import QuantumCircuit\n",
    "from qiskit.providers.fake_provider import GenericBackendV2\n",
    "from qiskit.transpiler import generate_preset_pass_manager\n",
    "\n",
    "from qiskit_waveform_sim import TargetWaveformSimulator\n",
    "from qiskit_waveform_sim.visualization import (\n",
    "    create_combined_view,\n",
    "    show_iq_oscilloscope,\n",
    "    show_pulse_sheet,\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "046732a4",
   "metadata": {},
   "source": [
    "## 1. Create Backend and Circuit"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "0701a0dc",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-10-04T19:13:29.774176Z",
     "iopub.status.busy": "2026-10-04T19:13:29.773929Z",
     "iopub.status.idle": "2026-10-04T19:13:29.819499Z",
     "shell.execute_reply": "2026-10-04T19:13:29.818954Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Backend dt: 2.220e-10 s\n",
      "Backend dt (ns): 0.222 ns\n",
      "Qubits: 2\n",
      "Basis gates: ['cx', 'id', 'rz', 'sx', 'x', 'reset', 'delay', 'measure']...\n"
     ]
    }
   ],
   "source": [
    "# 2-qubit generic backend (emulates IBM Eagle/Heron architecture)\n",
    "backend = GenericBackendV2(num_qubits=2, seed=42)\n",
    "\n",
    "print(f\"Backend dt: {backend.target.dt:.3e} s\")\n",
    "print(f\"Backend dt (ns): {backend.target.dt * 1e9:.3f} ns\")\n",
    "print(f\"Qubits: {backend.target.num_qubits}\")\n",
    "print(f\"Basis gates: {list(backend.target.operation_names)[:10]}...\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "f2c906ea",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-10-04T19:13:29.821010Z",
     "iopub.status.busy": "2026-10-04T19:13:29.820881Z",
     "iopub.status.idle": "2026-10-04T19:13:29.983617Z",
     "shell.execute_reply": "2026-10-04T19:13:29.982999Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'# Example 1:- Create a circuit with standard gates.\\nqc = QuantumCircuit(2, 2)\\nqc.h(0)                    # Hadamard = rz(Ï€/2) -> sx -> rz(Ï€/2)\\nqc.cx(0, 1)                # CNOT gate\\nqc.rx(np.pi/4, 0)          # Fractional RX(Ï€/4)\\nqc.rzz(np.pi/2, 0, 1)      # Fractional RZZ(Ï€/2)\\nqc.measure([0, 1], [0, 1])\\n\\nprint(f\"Circuit depth: {qc.depth()}\")\\nprint(f\"Operations: {qc.count_ops()}\")\\nqc.draw(\\'mpl\\')'"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "'''# Example 1:- Create a circuit with standard gates.\n",
    "qc = QuantumCircuit(2, 2)\n",
    "qc.h(0)                    # Hadamard = rz(Ï€/2) -> sx -> rz(Ï€/2)\n",
    "qc.cx(0, 1)                # CNOT gate\n",
    "qc.rx(np.pi/4, 0)          # Fractional RX(Ï€/4)\n",
    "qc.rzz(np.pi/2, 0, 1)      # Fractional RZZ(Ï€/2)\n",
    "qc.measure([0, 1], [0, 1])\n",
    "\n",
    "print(f\"Circuit depth: {qc.depth()}\")\n",
    "print(f\"Operations: {qc.count_ops()}\")\n",
    "qc.draw('mpl')'''"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "34758bd5",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Circuit depth: 9\n",
      "Operations: OrderedDict({'x': 1, 'h': 1, 't': 1, 's': 1, 'y': 1, 'tdg': 1, 'sx': 1, 'u': 1, 'measure': 1})\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 937.953x200.667 with 1 Axes>"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Example 2:- 1-qubit deep sequential circuit\n",
    "qc1 = QuantumCircuit(1, 1)\n",
    "qc1.x(0)                           # Pauli-X (bit flip)\n",
    "qc1.h(0)                           # Hadamard superposition\n",
    "qc1.t(0)                           # T gate (pi/4 phase rotation)\n",
    "qc1.s(0)                           # S gate (pi/2 phase rotation)\n",
    "qc1.y(0)                           # Pauli-Y gate\n",
    "qc1.tdg(0)                         # T-dagger (inverse T gate)\n",
    "qc1.sx(0)                          # Square-root of X gate\n",
    "qc1.u(np.pi/3, np.pi/4, np.pi/2, 0)# General 3-angle U(theta, phi, lam) gate\n",
    "qc1.measure(0, 0)\n",
    "\n",
    "print(f\"Circuit depth: {qc1.depth()}\")\n",
    "print(f\"Operations: {qc1.count_ops()}\")\n",
    "qc1.draw('mpl')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "379bc567",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'# Example 3:- 3-qubit circuit with phase and multi-controlled gates\\nqc2 = QuantumCircuit(3, 3)\\nqc2.h(0)                           # Superposition on qubit 0\\nqc2.cx(0, 1)                       # Entangle q0 and q1\\nqc2.cx(1, 2)                       # Entangle q1 and q2 (creates GHZ state)\\nqc2.s(0)                           # S phase gate (runs in parallel with cx above)\\nqc2.sdg(1)                         # S-dagger gate on q1\\nqc2.cz(0, 2)                       # Controlled-Z between q0 and q2\\nqc2.ccx(0, 1, 2)                   # Toffoli (CCNOT) gate controlled by q0, q1\\nqc2.measure([0, 1, 2], [0, 1, 2])\\n\\nprint(f\"Circuit depth: {qc2.depth()}\")\\nprint(f\"Operations: {qc2.count_ops()}\")\\nqc2.draw(\\'mpl\\')'"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "'''# Example 3:- 3-qubit circuit with phase and multi-controlled gates\n",
    "qc2 = QuantumCircuit(3, 3)\n",
    "qc2.h(0)                           # Superposition on qubit 0\n",
    "qc2.cx(0, 1)                       # Entangle q0 and q1\n",
    "qc2.cx(1, 2)                       # Entangle q1 and q2 (creates GHZ state)\n",
    "qc2.s(0)                           # S phase gate (runs in parallel with cx above)\n",
    "qc2.sdg(1)                         # S-dagger gate on q1\n",
    "qc2.cz(0, 2)                       # Controlled-Z between q0 and q2\n",
    "qc2.ccx(0, 1, 2)                   # Toffoli (CCNOT) gate controlled by q0, q1\n",
    "qc2.measure([0, 1, 2], [0, 1, 2])\n",
    "\n",
    "print(f\"Circuit depth: {qc2.depth()}\")\n",
    "print(f\"Operations: {qc2.count_ops()}\")\n",
    "qc2.draw('mpl')'''"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "88f47317",
   "metadata": {},
   "source": [
    "## 2. Transpile and Schedule (ALAP)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "id": "444b8720",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-10-04T19:13:29.985176Z",
     "iopub.status.busy": "2026-10-04T19:13:29.984992Z",
     "iopub.status.idle": "2026-10-04T19:13:30.573060Z",
     "shell.execute_reply": "2026-10-04T19:13:30.572597Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Scheduled circuit depth: 14\n",
      "Total duration: 10794 dt\n",
      "Total duration: 2396.3 ns\n",
      "     0 dt: rz (<Qubit register=(2, \"q\"), index=0>,)\n",
      "     0 dt: sx (<Qubit register=(2, \"q\"), index=0>,)\n",
      "   195 dt: rz (<Qubit register=(2, \"q\"), index=0>,)\n",
      "     0 dt: delay (<Qubit register=(2, \"q\"), index=1>,)\n",
      "   195 dt: cx (<Qubit register=(2, \"q\"), index=0>, <Qubit register=(2, \"q\"), index=1>)\n",
      "  3367 dt: rz (<Qubit register=(2, \"q\"), index=0>,)\n",
      "  3367 dt: sx (<Qubit register=(2, \"q\"), index=0>,)\n",
      "  3562 dt: rz (<Qubit register=(2, \"q\"), index=0>,)\n",
      "  3562 dt: sx (<Qubit register=(2, \"q\"), index=0>,)\n",
      "  3757 dt: rz (<Qubit register=(2, \"q\"), index=0>,)\n",
      "  3367 dt: delay (<Qubit register=(2, \"q\"), index=1>,)\n",
      "  3757 dt: cx (<Qubit register=(2, \"q\"), index=0>, <Qubit register=(2, \"q\"), index=1>)\n",
      "  6929 dt: rz (<Qubit register=(2, \"q\"), index=1>,)\n",
      "  6929 dt: cx (<Qubit register=(2, \"q\"), index=0>, <Qubit register=(2, \"q\"), index=1>)\n",
      "  10101 dt: delay (<Qubit register=(2, \"q\"), index=1>,)\n",
      "  10101 dt: measure (<Qubit register=(2, \"q\"), index=0>,)\n",
      "  10794 dt: measure (<Qubit register=(2, \"q\"), index=1>,)\n"
     ]
    }
   ],
   "source": [
    "from numpy._typing import _nested_sequence\n",
    "# Transpile to backend basis and schedule with ALAP\n",
    "pm = generate_preset_pass_manager(\n",
    "    optimization_level=1,\n",
    "    backend=backend,\n",
    "    scheduling_method=\"alap\"\n",
    ")\n",
    "scheduled_qc = pm.run(qc)\n",
    "\n",
    "print(f\"Scheduled circuit depth: {scheduled_qc.depth()}\")\n",
    "print(f\"Total duration: {scheduled_qc.op_start_times[-1] if scheduled_qc.op_start_times else 0} dt\")\n",
    "print(f\"Total duration: {scheduled_qc.op_start_times[-1] * backend.target.dt * 1e9:.1f} ns\")\n",
    "\n",
    "# Show scheduling info\n",
    "for inst, start_dt in zip(scheduled_qc.data, scheduled_qc.op_start_times):\n",
    "    op = inst.operation\n",
    "    print(f\"  {start_dt:4d} dt: {op.name} {inst.qubits}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e19e452f",
   "metadata": {},
   "source": [
    "## 3. Compile Waveform Simulator"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "a48de0a6",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-10-04T19:13:30.574663Z",
     "iopub.status.busy": "2026-10-04T19:13:30.574490Z",
     "iopub.status.idle": "2026-10-04T19:13:30.577552Z",
     "shell.execute_reply": "2026-10-04T19:13:30.577085Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total circuit duration: 16752 dt\n",
      "Channels with events: ['d0', 'd1', 'm0', 'm1', 'u(0,1)']\n",
      "\n",
      "Qubit 0 phase history (6 entries):\n",
      "     0 dt: 0.0000 rad\n",
      "     0 dt: -1.5708 rad\n",
      "   195 dt: -3.1416 rad\n",
      "  3367 dt: -4.7124 rad\n",
      "  3562 dt: -8.6394 rad\n",
      "  3757 dt: -16.4934 rad\n"
     ]
    }
   ],
   "source": [
    "# Compile with frame tracking\n",
    "sim = TargetWaveformSimulator(backend.target).compile(scheduled_qc)\n",
    "\n",
    "print(f\"Total circuit duration: {sim.total_duration_dt} dt\")\n",
    "print(f\"Channels with events: {sim.get_channels()}\")\n",
    "\n",
    "# Check phase history for qubit 0\n",
    "phase_hist = sim.get_phase_history(0)\n",
    "print(f\"\\nQubit 0 phase history ({len(phase_hist)} entries):\")\n",
    "for dt, phase in phase_hist:\n",
    "    print(f\"  {dt:4d} dt: {phase:.4f} rad\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a16d63c3",
   "metadata": {},
   "source": [
    "## 4. Extract Sample-Precise I/Q Waveforms (Lazy Windowed)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "417955a8",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-10-04T19:13:30.578725Z",
     "iopub.status.busy": "2026-10-04T19:13:30.578612Z",
     "iopub.status.idle": "2026-10-04T19:13:30.584430Z",
     "shell.execute_reply": "2026-10-04T19:13:30.583904Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Drive d0: 2000 samples, max |IQ|: 0.4500\n",
      "Control u(0,1): 2000 samples, max |IQ|: 0.6500\n",
      "Measure m0: 2000 samples, max |IQ|: 0.0000\n"
     ]
    }
   ],
   "source": [
    "# Extract snippets - memory efficient, only computes requested window\n",
    "d0_snip = sim.get_snippet(\"d0\", start_dt=0, length_dt=2000)\n",
    "cr_snip = sim.get_snippet(\"u(0,1)\", start_dt=0, length_dt=2000)\n",
    "m0_snip = sim.get_snippet(\"m0\", start_dt=0, length_dt=2000)\n",
    "\n",
    "print(f\"Drive d0: {len(d0_snip.wave)} samples, max |IQ|: {np.max(np.abs(d0_snip.wave)):.4f}\")\n",
    "print(f\"Control u(0,1): {len(cr_snip.wave)} samples, max |IQ|: {np.max(np.abs(cr_snip.wave)):.4f}\")\n",
    "print(f\"Measure m0: {len(m0_snip.wave)} samples, max |IQ|: {np.max(np.abs(m0_snip.wave)):.4f}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "82c81cab",
   "metadata": {},
   "source": [
    "## 5. Interactive Visualization"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "e8551d7e",
   "metadata": {
    "execution": {
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     "iopub.status.busy": "2026-10-04T19:13:30.585564Z",
     "iopub.status.idle": "2026-10-04T19:13:31.740536Z",
     "shell.execute_reply": "2026-10-04T19:13:31.740012Z"
    }
   },
   "outputs": [
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   "source": [
    "# Pulse Sheet - Multi-channel schedule view\n",
    "show_pulse_sheet(sim, interactive=True)"
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  },
  {
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5WUBlO99PjQdaQPYoXI/CFVpAiBbZzvcjWkAZBFYOLTJaQKvx0k1iQFpAPN9PjZdOWkDNzMzMzFxaQF+6SQwCa1pA8KfGSzd5WkCClUOLbIdaQBODwMqhlVpApHA9CtejWkA2XrpJDLJaQMdLN4lBwFpAWTm0yHbOWkDqJjEIrNxaQHwUrkfh6lpADQIrhxb5WkCe76fGSwdbQC/dJAaBFVtAwMqhRbYjW0BSuB6F6zFbQOOlm8QgQFtAdZMYBFZOW0AGgZVDi1xbQJhuEoPAaltAKVyPwvV4W0C6SQwCK4dbQEw3iUFglVtA3SQGgZWjW0BvEoPAyrFbQAAAAAAAwFtAku18PzXOW0Aj2/l+atxbQLTIdr6f6ltARrbz/dT4W0DXo3A9CgdcQGmR7Xw/FVxA+n5qvHQjXECMbOf7qTFcQB1aZDvfP1xArkfhehROXEBANV66SVxcQNEi2/l+alxAYxBYObR4XED0/dR46YZcQIXrUbgelVxAF9nO91OjXECoxks3ibFcQDq0yHa+v1xAy6FFtvPNXEBdj8L1KNxcQO58PzVe6lxAf2q8dJP4XEARWDm0yAZdQKJFtvP9FF1ANDMzMzMjXUDFILByaDFdQFcOLbKdP11A6Pup8dJNXUB56SYxCFxdQAvXo3A9al1AnMQgsHJ4XUAusp3vp4ZdQL+fGi/dlF1AUY2XbhKjXUDiehSuR7FdQHNoke18v11ABFYOLbLNXUCWQ4ts59tdQCcxCKwc6l1AuR6F61H4XUBKDAIrhwZeQNz5fmq8FF5Abef7qfEiXkD/1HjpJjFeQI/C9ShcP15AIrByaJFNXkCyne+nxlteQEWLbOf7aV5A1XjpJjF4XkBnZmZmZoZeQPhT46WblF5AikFg5dCiXkAbL90kBrFeQK0cWmQ7v15APgrXo3DNXkDQ91PjpdteQGDl0CLb6V5A89JNYhD4XkCDwMqhRQZfQBauR+F6FF9AppvEILAiX0A5iUFg5TBfQMl2vp8aP19AWmQ7309NX0DsUbgehVtfQHw/NV66aV9ADy2yne93X0CfGi/dJIZfQDIIrBxalF9AwvUoXI+iX0BU46WbxLBfQOXQItv5vl9Ad76fGi/NX0AIrBxaZNtfQJqZmZmZ6V9AK4cW2c73X0BfukkMAgNgQCcxCKwcCmBA8KfGSzcRYEC4HoXrURhgQIGVQ4tsH2BASgwCK4cmYEATg8DKoS1gQNv5fmq8NGBApHA9Ctc7YEBs5/up8UJgQDZeukkMSmBA/tR46SZRYEDHSzeJQVhgQI/C9ShcX2BAWTm0yHZmYEAhsHJokW1gQOomMQisdGBAsp3vp8Z7YEB7FK5H4YJgQESLbOf7iWBADQIrhxaRYEDVeOkmMZhgQJ7vp8ZLn2BAZmZmZmamYEAw3SQGga1gQPhT46WbtGBAwcqhRba7YECJQWDl0MJgQFK4HoXryWBAGy/dJAbRYEDkpZvEINhgQKwcWmQ732BAdZMYBFbmYEA+CtejcO1gQAeBlUOL9GBAz/dT46X7YECYbhKDwAJhQGDl0CLbCWFAKVyPwvUQYUDy0k1iEBhhQLpJDAIrH2FAg8DKoUUmYUBMN4lBYC1hQBWuR+F6NGFA3SQGgZU7YUCmm8QgsEJhQG4Sg8DKSWFAOIlBYOVQYUAAAAAAAFhhQMl2vp8aX2FAke18PzVmYUBaZDvfT21hQCPb+X5qdGFA7FG4HoV7YUC0yHa+n4JhQH0/NV66iWFARrbz/dSQYUAPLbKd75dhQNejcD0Kn2FAoBov3SSmYUBoke18P61hQDIIrBxatGFA+n5qvHS7YUDD9Shcj8JhQIts5/upyWFAVOOlm8TQYUAdWmQ739dhQObQItv53mFArkfhehTmYUB3vp8aL+1hQEA1XrpJ9GFACawcWmT7YUDRItv5fgJiQJqZmZmZCWJAYhBYObQQYkAshxbZzhdiQPT91HjpHmJAvXSTGAQmYkCF61G4Hi1iQE5iEFg5NGJAF9nO91M7YkDgT42XbkJiQKjGSzeJSWJAcT0K16NQYkA6tMh2vldiQAMrhxbZXmJAy6FFtvNlYkCUGARWDm1iQFyPwvUodGJAJQaBlUN7YkDufD81XoJiQLbz/dR4iWJAf2q8dJOQYkBH4XoUrpdiQBFYObTInmJA2c73U+OlYkCiRbbz/axiQGq8dJMYtGJAMzMzMzO7YkD8qfHSTcJiQMUgsHJoyWJAjZduEoPQYkBWDi2ynddiQB+F61G43mJA6Pup8dLlYkCwcmiR7exiQHnpJjEI9GJAQWDl0CL7YkAL16NwPQJjQNNNYhBYCWNAnMQgsHIQY0BkO99PjRdjQC2yne+nHmNA9ihcj8IlY0C/nxov3SxjQIcW2c73M2NAUI2XbhI7Y0AZBFYOLUJjQOJ6FK5HSWNAqvHSTWJQY0BzaJHtfFdjQDvfT42XXmNABVYOLbJlY0DNzMzMzGxjQJZDi2znc2NAXrpJDAJ7Y0AnMQisHIJjQPCnxks3iWNAuR6F61GQY0CBlUOLbJdjQEoMAiuHnmNAE4PAyqGlY0Dc+X5qvKxjQKRwPQrXs2NAbef7qfG6Y0A1XrpJDMJjQP/UeOkmyWNAx0s3iUHQY0CQwvUoXNdjQFg5tMh23mNAIbByaJHlY0DqJjEIrOxjQLKd76fG82NAexSuR+H6Y0BDi2zn+wFkQA0CK4cWCWRA1XjpJjEQZECe76fGSxdkQGZmZmZmHmRAL90kBoElZED4U+OlmyxkQMHKoUW2M2RAiUFg5dA6ZEBSuB6F60FkQBsv3SQGSWRA5KWbxCBQZECsHFpkO1dkQHWTGARWXmRAPQrXo3BlZEAHgZVDi2xkQM/3U+Olc2RAmG4Sg8B6ZEBg5dAi24FkQClcj8L1iGRA8tJNYhCQZEC7SQwCK5dkQIPAyqFFnmRATDeJQWClZEAVrkfheqxkQN4kBoGVs2RAppvEILC6ZEBvEoPAysFkQDeJQWDlyGRAAQAAAADQZEDJdr6fGtdkQJLtfD813mRAWmQ730/lZEAj2/l+auxkQOxRuB6F82RAtch2vp/6ZEB9PzVeugFlQEa28/3UCGVADi2yne8PZUDYo3A9ChdlQKAaL90kHmVAaZHtfD8lZUAxCKwcWixlQPt+arx0M2VAw/UoXI86ZUCMbOf7qUFlQFTjpZvESGVAHFpkO99PZUDm0CLb+VZlQK5H4XoUXmVAd76fGi9lZUA/NV66SWxlQAisHFpkc2VA0SLb+X56ZUCamZmZmYFlQGIQWDm0iGVAK4cW2c6PZUD0/dR46ZZlQL10kxgEnmVAhetRuB6lZUBOYhBYOaxlQBbZzvdTs2VA4E+Nl266ZUCoxks3icFlQHE9CtejyGVAObTIdr7PZUACK4cW2dZlQMuhRbbz3WVAlBgEVg7lZUBcj8L1KOxlQCUGgZVD82VA7nw/NV76ZUC38/3UeAFmQH9qvHSTCGZASOF6FK4PZkAQWDm0yBZmQNrO91PjHWZAokW28/0kZkBrvHSTGCxmQDMzMzMzM2ZA/Knx0k06ZkDFILByaEFmQI6XbhKDSGZAVg4tsp1PZkAfhetRuFZmQOj7qfHSXWZAsXJoke1kZkB56SYxCGxmQEJg5dAic2ZACtejcD16ZkDUTWIQWIFmQJzEILByiGZAZTvfT42PZkAtsp3vp5ZmQPYoXI/CnWZAv58aL92kZkCIFtnO96tmQFCNl24Ss2ZAGQRWDi26ZkDiehSuR8FmQKrx0k1iyGZAc2iR7XzPZkA730+Nl9ZmQARWDi2y3WZAzczMzMzkZkCWQ4ts5+tmQF66SQwC82ZAJzEIrBz6ZkDvp8ZLNwFnQLkehetRCGdAgZVDi2wPZ0BKDAIrhxZnQBKDwMqhHWdA3Pl+arwkZ0CkcD0K1ytnQG3n+6nxMmdANV66SQw6Z0D+1HjpJkFnQMdLN4lBSGdAkML1KFxPZ0BYObTIdlZnQCGwcmiRXWdA6SYxCKxkZ0Czne+nxmtnQHsUrkfhcmdARIts5/t5Z0AMAiuHFoFnQNZ46SYxiGdAnu+nxkuPZ0BnZmZmZpZnQC/dJAaBnWdA+FPjpZukZ0DByqFFtqtnQIpBYOXQsmdAUrgeheu5Z0AbL90kBsFnQOOlm8QgyGdArRxaZDvPZ0B1kxgEVtZnQD4K16Nw3WdABoGVQ4vkZ0DQ91PjpetnQJhuEoPA8mdAYeXQItv5Z0ApXI/C9QBoQPLSTWIQCGhAu0kMAisPaECEwMqhRRZoQEw3iUFgHWhAFa5H4XokaEDdJAaBlStoQKabxCCwMmhAbxKDwMo5aEA3iUFg5UBoQAAAAAAASGhAyXa+nxpPaECS7Xw/NVZoQFpkO99PXWhAI9v5fmpkaEDrUbgehWtoQLXIdr6fcmhAfT81Xrp5aEBGtvP91IBoQA4tsp3vh2hA16NwPQqPaECgGi/dJJZoQGmR7Xw/nWhAMQisHFqkaED6fmq8dKtoQMP1KFyPsmhAjGzn+6m5aEBU46WbxMBoQB1aZDvfx2hA5dAi2/nOaECvR+F6FNZoQHe+nxov3WhAQDVeuknkaEAIrBxaZOtoQNEi2/l+8mhAmpmZmZn5aEBjEFg5tABpQCuHFtnOB2lA9P3UeOkOaUC9dJMYBBZpQIbrUbgeHWlATmIQWDkkaUAX2c73UytpQN9PjZduMmlAqcZLN4k5aUBxPQrXo0BpQDq0yHa+R2lAAiuHFtlOaUDLoUW281VpQJQYBFYOXWlAXY/C9ShkaUAlBoGVQ2tpQO58PzVecmlAt/P91Hh5aUCAarx0k4BpQEjhehSuh2lAEVg5tMiOaUDZzvdT45VpQKJFtvP9nGlAa7x0kxikaUAzMzMzM6tpQPyp8dJNsmlAxCCwcmi5aUCOl24Sg8BpQFYOLbKdx2lAH4XrUbjOaUDn+6nx0tVpQLFyaJHt3GlAeekmMQjkaUBCYOXQIutpQArXo3A98mlA001iEFj5aUCcxCCwcgBqQGU730+NB2pALbKd76cOakD2KFyPwhVqQL6fGi/dHGpAiBbZzvcjakBQjZduEitqQBkEVg4tMmpA4XoUrkc5akCr8dJNYkBqQHNoke18R2pAPN9PjZdOakAEVg4tslVqQM3MzMzMXGpAlkOLbOdjakBfukkMAmtqQCcxCKwccmpA8KfGSzd5akC4HoXrUYBqQIKVQ4tsh2pASgwCK4eOakATg8DKoZVqQNv5fmq8nGpApHA9CtejakBt5/up8apqQDZeukkMsmpA/tR46Sa5akDHSzeJQcBqQJDC9Shcx2pAWTm0yHbOakAhsHJokdVqQOomMQis3GpAsp3vp8bjakB8FK5H4epqQESLbOf78WpADQIrhxb5akDVeOkmMQBrQJ7vp8ZLB2tAZ2ZmZmYOa0Av3SQGgRVrQPhT46WbHGtAwMqhRbYja0CKQWDl0CprQFK4HoXrMWtAGy/dJAY5a0DjpZvEIEBrQKwcWmQ7R2tAdZMYBFZOa0A+CtejcFVrQAaBlUOLXGtAz/dT46Vja0CYbhKDwGprQGHl0CLbcWtAKVyPwvV4a0Dy0k1iEIBrQLpJDAIrh2tAhMDKoUWOa0BMN4lBYJVrQBWuR+F6nGtA3SQGgZWja0Cmm8QgsKprQG8Sg8DKsWtAOIlBYOW4a0AAAAAAAMBrQMl2vp8ax2tAku18PzXOa0BbZDvfT9VrQCPb+X5q3GtA7FG4HoXja0C0yHa+n+prQH4/NV668WtARrbz/dT4a0APLbKd7/9rQNejcD0KB2xAoBov3SQObEBpke18PxVsQDIIrBxaHGxA+n5qvHQjbEDD9ShcjypsQIxs5/upMWxAVeOlm8Q4bEAdWmQ73z9sQObQItv5RmxArkfhehRObEB4vp8aL1VsQEA1XrpJXGxACawcWmRjbEDRItv5fmpsQJmZmZmZcWxAYxBYObR4bEArhxbZzn9sQPT91HjphmxAvHSTGASObECF61G4HpVsQE5iEFg5nGxAF9nO91OjbEDfT42XbqpsQKjGSzeJsWxAcT0K16O4bEA6tMh2vr9sQAIrhxbZxmxAy6FFtvPNbECTGARWDtVsQF2PwvUo3GxAJQaBlUPjbEDufD81XupsQLbz/dR48WxAf2q8dJP4bEBI4XoUrv9sQBFYObTIBm1A2c73U+MNbUCiRbbz/RRtQGu8dJMYHG1ANDMzMzMjbUD8qfHSTSptQMUgsHJoMW1AjZduEoM4bUBXDi2ynT9tQB+F61G4Rm1A6Pup8dJNbUCwcmiR7VRtQHnpJjEIXG1AQmDl0CJjbUAL16NwPWptQNNNYhBYcW1AnMQgsHJ4bUBlO99PjX9tQC6yne+nhm1A9ihcj8KNbUC/nxov3ZRtQIcW2c73m21AUY2XbhKjbUAZBFYOLaptQOJ6FK5HsW1AqvHSTWK4bUBzaJHtfL9tQDzfT42Xxm1ABFYOLbLNbUDOzMzMzNRtQJZDi2zn221AX7pJDALjbUAnMQisHOptQO+nxks38W1AuR6F61H4bUCBlUOLbP9tQEoMAiuHBm5AEoPAyqENbkDc+X5qvBRuQKRwPQrXG25Abef7qfEibkA1XrpJDCpuQP/UeOkmMW5Ax0s3iUE4bkCPwvUoXD9uQFg5tMh2Rm5AIrByaJFNbkDqJjEIrFRuQLKd76fGW25AehSuR+FibkBFi2zn+2luQA0CK4cWcW5A1XjpJjF4bkCd76fGS39uQGdmZmZmhm5AMN0kBoGNbkD4U+Olm5RuQMDKoUW2m25AikFg5dCibkBTuB6F66luQBsv3SQGsW5A46WbxCC4bkCtHFpkO79uQHWTGARWxm5APgrXo3DNbkAGgZVDi9RuQND3U+Ol225AmG4Sg8DibkBg5dAi2+luQClcj8L18G5A89JNYhD4bkC7SQwCK/9uQIPAyqFFBm9ATDeJQWANb0AWrkfhehRvQN4kBoGVG29AppvEILAib0BuEoPAyilvQDmJQWDlMG9AAQAAAAA4b0DJdr6fGj9vQJHtfD81Rm9AWmQ7309Nb0Ak2/l+alRvQOxRuB6FW29AtMh2vp9ib0B8PzVeumlvQEe28/3UcG9ADy2yne93b0DXo3A9Cn9vQJ8aL90khm9AaZHtfD+Nb0AyCKwcWpRvQPp+arx0m29AwvUoXI+ib0CMbOf7qalvQFTjpZvEsG9AHVpkO9+3b0Dl0CLb+b5vQK9H4XoUxm9Ad76fGi/Nb0BANV66SdRvQAisHFpk229A0iLb+X7ib0CamZmZmelvQGIQWDm08G9AK4cW2c73b0D1/dR46f5vQF+6SQwCA3BAw/UoXI8GcEAnMQisHApwQIxs5/upDXBA8KfGSzcRcEBU46WbxBRwQLgehetRGHBAHVpkO98bcECBlUOLbB9wQOXQItv5InBASgwCK4cmcECvR+F6FCpwQBODwMqhLXBAd76fGi8xcEDb+X5qvDRwQEA1XrpJOHBApHA9Ctc7cEAIrBxaZD9wQGzn+6nxQnBA0iLb+X5GcEA2XrpJDEpwQJqZmZmZTXBA/tR46SZRcEBjEFg5tFRwQMdLN4lBWHBAK4cW2c5bcECPwvUoXF9wQPP91HjpYnBAWTm0yHZmcEC9dJMYBGpwQCGwcmiRbXBAhetRuB5xcEDqJjEIrHRwQE5iEFg5eHBAsp3vp8Z7cEAW2c73U39wQHsUrkfhgnBA30+Nl26GcEBEi2zn+4lwQKjGSzeJjXBADQIrhxaRcEBxPQrXo5RwQNV46SYxmHBAObTIdr6bcECe76fGS59wQAIrhxbZonBAZmZmZmamcEDLoUW286lwQDDdJAaBrXBAlBgEVg6xcED4U+Olm7RwQFyPwvUouHBAwcqhRba7cEAlBoGVQ79wQIlBYOXQwnBA7Xw/NV7GcEBSuB6F68lwQLfz/dR4zXBAGy/dJAbRcEB/arx0k9RwQOSlm8Qg2HBASOF6FK7bcECsHFpkO99wQBBYObTI4nBAdZMYBFbmcEDZzvdT4+lwQD4K16Nw7XBAokW28/3wcEAHgZVDi/RwQGu8dJMY+HBAz/dT46X7cEAzMzMzM/9wQJhuEoPAAnFA/Knx0k0GcUBg5dAi2wlxQMUgsHJoDXFAKVyPwvUQcUCOl24SgxRxQPLSTWIQGHFAVg4tsp0bcUC6SQwCKx9xQB+F61G4InFAg8DKoUUmcUDn+6nx0ilxQEw3iUFgLXFAsXJoke0wcUAVrkfhejRxQHnpJjEIOHFA3SQGgZU7cUBCYOXQIj9xQKabxCCwQnFACtejcD1GcUBuEoPAyklxQNNNYhBYTXFAOIlBYOVQcUCcxCCwclRxQAAAAAAAWHFAZTvfT41bcUDJdr6fGl9xQC2yne+nYnFAke18PzVmcUD2KFyPwmlxQFpkO99PbXFAv58aL91wcUAj2/l+anRxQIgW2c73d3FA7FG4HoV7cUBQjZduEn9xQLTIdr6fgnFAGQRWDi2GcUB9PzVeuolxQOF6FK5HjXFARrbz/dSQcUCr8dJNYpRxQA8tsp3vl3FAc2iR7XybcUDXo3A9Cp9xQDzfT42XonFAoBov3SSmcUAEVg4tsqlxQGiR7Xw/rXFAzczMzMywcUAyCKwcWrRxQJZDi2znt3FA+n5qvHS7cUBfukkMAr9xQMP1KFyPwnFAJzEIrBzGcUCLbOf7qclxQO+nxks3zXFAVOOlm8TQcUC5HoXrUdRxQB1aZDvf13FAgZVDi2zbcUDm0CLb+d5xQEoMAiuH4nFArkfhehTmcUASg8DKoelxQHe+nxov7XFA2/l+arzwcUBANV66SfRxQKRwPQrX93FACawcWmT7cUBt5/up8f5xQNEi2/l+AnJANV66SQwGckCamZmZmQlyQP7UeOkmDXJAYhBYObQQckDGSzeJQRRyQCyHFtnOF3JAkML1KFwbckD0/dR46R5yQFg5tMh2InJAvXSTGAQmckAhsHJokSlyQIXrUbgeLXJA6SYxCKwwckBOYhBYOTRyQLOd76fGN3JAF9nO91M7ckB7FK5H4T5yQOBPjZduQnJARIts5/tFckCoxks3iUlyQAwCK4cWTXJAcT0K16NQckDVeOkmMVRyQDq0yHa+V3JAnu+nxktbckADK4cW2V5yQGdmZmZmYnJAy6FFtvNlckAv3SQGgWlyQJQYBFYObXJA+FPjpZtwckBcj8L1KHRyQMDKoUW2d3JAJQaBlUN7ckCKQWDl0H5yQO58PzVegnJAUrgeheuFckC28/3UeIlyQBsv3SQGjXJAf2q8dJOQckDjpZvEIJRyQEfhehSul3JArRxaZDubckARWDm0yJ5yQHWTGARWonJA2c73U+OlckA+CtejcKlyQKJFtvP9rHJABoGVQ4uwckBqvHSTGLRyQM/3U+Olt3JAMzMzMzO7ckCYbhKDwL5yQPyp8dJNwnJAYeXQItvFckDFILByaMlyQClcj8L1zHJAjZduEoPQckDy0k1iENRyQFYOLbKd13JAukkMAivbckAfhetRuN5yQITAyqFF4nJA6Pup8dLlckBMN4lBYOlyQLByaJHt7HJAFa5H4XrwckB56SYxCPRyQN0kBoGV93JAQWDl0CL7ckCnm8QgsP5yQAvXo3A9AnNAbxKDwMoFc0DTTWIQWAlzQDiJQWDlDHNAnMQgsHIQc0AAAAAAABRzQGQ730+NF3NAyXa+nxobc0Atsp3vpx5zQJLtfD81InNA9ihcj8Ilc0BbZDvfTylzQL+fGi/dLHNAI9v5fmowc0CHFtnO9zNzQOtRuB6FN3NAUI2XbhI7c0C0yHa+nz5zQBkEVg4tQnNAfT81XrpFc0DiehSuR0lzQEa28/3UTHNAqvHSTWJQc0AOLbKd71NzQHNoke18V3NA16NwPQpbc0A730+Nl15zQKAaL90kYnNABVYOLbJlc0Bpke18P2lzQM3MzMzMbHNAMQisHFpwc0CWQ4ts53NzQPp+arx0d3NAXrpJDAJ7c0DC9Shcj35zQCcxCKwcgnNAjGzn+6mFc0Dwp8ZLN4lzQFTjpZvEjHNAuR6F61GQc0AdWmQ735NzQIGVQ4tsl3NA5dAi2/mac0BKDAIrh55zQK5H4XoUonNAE4PAyqGlc0B3vp8aL6lzQNz5fmq8rHNAQDVeukmwc0CkcD0K17NzQAisHFpkt3NAbef7qfG6c0DRItv5fr5zQDVeukkMwnNAmpmZmZnFc0D/1HjpJslzQGMQWDm0zHNAx0s3iUHQc0ArhxbZztNzQJDC9Shc13NA9P3UeOnac0BYObTIdt5zQLx0kxgE4nNAIbByaJHlc0CG61G4HulzQOomMQis7HNATmIQWDnwc0Cyne+nxvNzQBfZzvdT93NAexSuR+H6c0DfT42Xbv5zQEOLbOf7AXRAqMZLN4kFdEANAiuHFgl0QHE9CtejDHRA1XjpJjEQdEA6tMh2vhN0QJ7vp8ZLF3RAAiuHFtkadEBmZmZmZh50QMuhRbbzIXRAL90kBoEldECUGARWDil0QPhT46WbLHRAXY/C9SgwdEDByqFFtjN0QCUGgZVDN3RAiUFg5dA6dEDufD81Xj50QFK4HoXrQXRAtvP91HhFdEAbL90kBkl0QIBqvHSTTHRA5KWbxCBQdEBI4XoUrlN0QKwcWmQ7V3RAEVg5tMhadEB1kxgEVl50QNnO91PjYXRAPQrXo3BldECiRbbz/Wh0QAeBlUOLbHRAa7x0kxhwdEDP91PjpXN0QDQzMzMzd3RAmG4Sg8B6dED8qfHSTX50QGDl0CLbgXRAxSCwcmiFdEApXI/C9Yh0QI6XbhKDjHRA8tJNYhCQdEBXDi2ynZN0QLtJDAIrl3RAH4XrUbiadECDwMqhRZ50QOf7qfHSoXRATDeJQWCldECwcmiR7ah0QBWuR+F6rHRAeekmMQiwdEDeJAaBlbN0QEJg5dAit3RAppvEILC6dEAK16NwPb50QG8Sg8DKwXRA001iEFjFdEA3iUFg5ch0QJvEILByzHRA",
          "dtype": "f8"
         },
         "xaxis": "x",
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",
          "dtype": "f8"
         },
         "xaxis": "x2",
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",
          "dtype": "f8"
         },
         "xaxis": "x",
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",
          "dtype": "f8"
         },
         "xaxis": "x",
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",
          "dtype": "f8"
         },
         "xaxis": "x3",
         "y": {
          "bdata": 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            "ticks": ""
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            "gridcolor": "#DFE8F3",
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          "title": {
           "x": 0.05
          },
          "xaxis": {
           "automargin": true,
           "gridcolor": "#EBF0F8",
           "linecolor": "#EBF0F8",
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          },
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        },
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         "font": {
          "size": 14
         },
         "text": "I/Q Oscilloscope - Channel: d0",
         "x": 0.5
        },
        "xaxis": {
         "anchor": "y",
         "domain": [
          0,
          1
         ],
         "matches": "x3",
         "showticklabels": false
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        "xaxis2": {
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         "domain": [
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         "matches": "x3",
         "showticklabels": false
        },
        "xaxis3": {
         "anchor": "y3",
         "domain": [
          0,
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         "title": {
          "text": "Time (ns)"
         }
        },
        "yaxis": {
         "anchor": "x",
         "domain": [
          0.64,
          1
         ],
         "title": {
          "text": "Amplitude"
         }
        },
        "yaxis2": {
         "anchor": "x2",
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         "title": {
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        },
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          "text": "Phase (rad)"
         }
        }
       }
      }
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# I/Q Oscilloscope - Sample-precise waveform view\n",
    "show_iq_oscilloscope(sim, \"d0\", start_dt=0, length_dt=1500, interactive=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "fe93b648",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-10-04T19:13:31.845636Z",
     "iopub.status.busy": "2026-10-04T19:13:31.845427Z",
     "iopub.status.idle": "2026-10-04T19:13:31.932617Z",
     "shell.execute_reply": "2026-10-04T19:13:31.932145Z"
    }
   },
   "outputs": [
    {
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",
          "dtype": "f8"
         },
         "xaxis": "x6",
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",
          "dtype": "f8"
         },
         "xaxis": "x7",
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",
          "dtype": "f8"
         },
         "xaxis": "x8",
         "y": {
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     "metadata": {},
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   ],
   "source": [
    "# Combined view - Pulse Sheet + I/Q Oscilloscope synchronized\n",
    "fig = create_combined_view(sim, \"d0\", start_dt=0, length_dt=1500)\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "590bf096",
   "metadata": {},
   "source": [
    "## 6. Matplotlib Static Visualization (for publications)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "57d3416b",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-10-04T19:13:31.934256Z",
     "iopub.status.busy": "2026-10-04T19:13:31.934100Z",
     "iopub.status.idle": "2026-10-04T19:13:32.276466Z",
     "shell.execute_reply": "2026-10-04T19:13:32.275915Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x500 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1200x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "from qiskit_waveform_sim.visualization import (\n",
    "    plot_iq_waveforms,\n",
    "    plot_phase_tracking,\n",
    "    plot_pulse_sheet,\n",
    ")\n",
    "\n",
    "# Static pulse sheet\n",
    "fig1 = plot_pulse_sheet(sim, figsize=(12, 6))\n",
    "plt.show()\n",
    "\n",
    "# Static I/Q waveforms\n",
    "fig2 = plot_iq_waveforms(d0_snip, figsize=(12, 5))\n",
    "plt.show()\n",
    "\n",
    "# Static phase tracking\n",
    "fig3 = plot_phase_tracking(sim, figsize=(12, 4))\n",
    "plt.show()"
   ]
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    "## Summary\n",
    "\n",
    "You've now seen the complete workflow:\n",
    "\n",
    "1.  **Circuit → Scheduled** using Qiskit 2.0 preset pass manager\n",
    "2.  **Scheduled → Compiled** with exact Virtual-Z frame tracking\n",
    "3.  **Compiled → Snippets** via lazy O(W) windowed evaluation\n",
    "4.  **Visualization** with interactive Plotly and static Matplotlib\n",
    "\n",
    "Next: Learn about custom pulse annotations in the :doc:`annotations` tutorial."
   ]
  }
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