{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "283fddbe",
   "metadata": {},
   "source": [
    "# IBM Optimizations using Cirq"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b7609ea0",
   "metadata": {},
   "source": [
    "[![Open in Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/Infleqtion/client-superstaq/blob/main/docs/source/optimizations/ibm/ibmq_compile_css.ipynb) [![Launch Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/Infleqtion/client-superstaq/HEAD?labpath=docs/source/optimizations/ibm/ibmq_compile_css.ipynb)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "55320d7b",
   "metadata": {},
   "source": [
    "Below is a brief tutorial on Superstaq optimizations for IBM Quantum superconducting qubit devices. For more information on IBM Quantum, visit their website [here](https://www.ibm.com/quantum)."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cc148463",
   "metadata": {},
   "source": [
    "## Imports and API Token\n",
    "\n",
    "This example tutorial notebook uses `cirq-superstaq`, our Superstaq client for Cirq; you can try it out by running `pip install cirq-superstaq[examples]`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "032904b0",
   "metadata": {},
   "outputs": [],
   "source": [
    "try:\n",
    "    import cirq_superstaq as css\n",
    "    import qiskit_superstaq as qss\n",
    "except ImportError:\n",
    "    print(\"Installing cirq-superstaq[examples]...\")\n",
    "    %pip install --quiet 'cirq-superstaq[examples]'\n",
    "    print(\"Installed cirq-superstaq[examples].\")\n",
    "    print(\"You may need to restart the kernel to import newly installed packages.\")\n",
    "    import cirq_superstaq as css\n",
    "\n",
    "import random\n",
    "\n",
    "import cirq\n",
    "import numpy as np\n",
    "import qiskit\n",
    "import qiskit_superstaq as qss"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ea70f3e9",
   "metadata": {},
   "source": [
    "To interface Superstaq via Cirq, we must first instantiate a service with `cirq_superstaq.Service()`. We then supply a Superstaq API token by either providing the API token as an argument to `cirq_superstaq.Service()` or by setting it as an environment variable (see more details [here](https://superstaq.readthedocs.io/en/latest/get_started/basics/basics_css.html#Set-up-access-to-Superstaq%E2%80%99s-API))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "972b9908",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Provide your Superstaq API key using the \"api_key\" argument\n",
    "service = css.Service()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "80e1d5e7",
   "metadata": {},
   "source": [
    "## Single Circuit Compilation\n",
    "\n",
    "Let us start by creating an example Cirq circuit that we will then compile and optimize for the 156-qubit IBM Quantum `Kingston` processor."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "06be41c6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<pre style=\"overflow: auto; white-space: pre;\">0: ───@────────────────@───│───M───\n",
       "      │                │   │   │\n",
       "1: ───X───Rz(0.766π)───X───│───M───</pre>"
      ],
      "text/plain": [
       "0: ───@────────────────@───│───M───\n",
       "      │                │   │   │\n",
       "1: ───X───Rz(0.766π)───X───│───M───"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Create a two-qubit cirq circuit\n",
    "qubits = cirq.LineQubit.range(2)\n",
    "rng = np.random.default_rng(random.getrandbits(128))\n",
    "theta = rng.uniform(0, 4 * np.pi)\n",
    "circuit = cirq.Circuit(\n",
    "    cirq.CNOT(qubits[0], qubits[1]),\n",
    "    cirq.Rz(rads=theta)(qubits[1]),\n",
    "    cirq.CNOT(qubits[0], qubits[1]),\n",
    "    css.barrier(*qubits),\n",
    "    cirq.measure(qubits[0], qubits[1]),\n",
    ")\n",
    "\n",
    "# Visualize circuit\n",
    "circuit"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e204bac3",
   "metadata": {},
   "source": [
    "We will now compile the above circuit to IBM's `Kingston` processor and visualize the differences by drawing the compiled circuit. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "e921bf6e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<pre style=\"overflow: auto; white-space: pre;\">133: ───Rz(0.75π)─────────────────────────X^0.5───Rz(1.25π)───@───Rz(0.75π)───────────X^0.5───Rz(1.23π)───X^0.5───Rz(0.25π)───@───Rz(1.75π)───X^0.5────────────────────────────Rz(1.25π)───│───M────────────────\n",
       "                                                              │                                                               │                                                            │   │\n",
       "134: ───WaitGate(32000.000000000007 ps)───────────────────────@───WaitGate(64.0 ns)───────────────────────────────────────────@───Rz(π)───────WaitGate(32000.00000000003 ps)───────────────│───M(&#x27;q(0),q(1)&#x27;)───</pre>"
      ],
      "text/plain": [
       "133: ───Rz(0.75π)─────────────────────────X^0.5───Rz(1.25π)───@───Rz(0.75π)───────────X^0.5───Rz(1.23π)───X^0.5───Rz(0.25π)───@───Rz(1.75π)───X^0.5────────────────────────────Rz(1.25π)───│───M────────────────\n",
       "                                                              │                                                               │                                                            │   │\n",
       "134: ───WaitGate(32000.000000000007 ps)───────────────────────@───WaitGate(64.0 ns)───────────────────────────────────────────@───Rz(π)───────WaitGate(32000.00000000003 ps)───────────────│───M('q(0),q(1)')───"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Compile with qscout compile\n",
    "compiler_output = service.ibmq_compile(circuit, target=\"ibmq_kingston_qpu\")\n",
    "\n",
    "# Call circuit from the compiler output to get the corresponding output circuit\n",
    "output_circuit = compiler_output.circuit\n",
    "\n",
    "# Visualize the compiled circuit\n",
    "output_circuit"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "57bf81d5",
   "metadata": {},
   "source": [
    "The resulting output is now a circuit compiled to `Kingston`'s native operations. With Superstaq compilation, you can also observe the gates and gate times for the compiled circuit using Qiskit’s timeline drawer (see [Qiskit Timeline Visualizations Documentation](https://docs.quantum.ibm.com/api/qiskit/qiskit.visualization.timeline_drawer)). \n",
    "\n",
    "Additionally, to ensure that the drawer has all the information on the instruction durations, we must also provide the `qiskit.transpiler.Target` of the corresponding backend the timeline is being generated for. It can be retrieved from `qiskit_superstaq` like so:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "24c65259",
   "metadata": {},
   "outputs": [],
   "source": [
    "backend_target = qss.SuperstaqProvider().get_backend(\"ibmq_kingston_qpu\").target"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "bd85d98b",
   "metadata": {},
   "outputs": [
    {
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      "text/plain": [
       "<Figure size 3000x300 with 1 Axes>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# The pulse gate circuit is obtained via the `pulse_gate_circuit` attribute\n",
    "pulse_circuit = compiler_output.pulse_gate_circuit\n",
    "\n",
    "# Estimate circuit duration for the timeline drawer\n",
    "pulse_circuit.duration = pulse_circuit.estimate_duration(backend_target, unit=\"dt\")\n",
    "\n",
    "custom_style = {\"formatter.general.fig_width\": 30, \"formatter.general.fig_unit_height\": 1}\n",
    "style = qiskit.visualization.timeline.IQXStandard(**custom_style)\n",
    "\n",
    "qiskit.visualization.timeline_drawer(\n",
    "    pulse_circuit, idle_wires=False, style=style, target=backend_target\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ebd51e12",
   "metadata": {},
   "source": [
    "## Multiple Circuits Compilation\n",
    "\n",
    "All the functionalities we have seen so far can also be used on a multiple-circuit input as well. To illustrate this, let us create a different example two-qubit circuit: a Bell-state circuit."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "afe9537a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<pre style=\"overflow: auto; white-space: pre;\">0: ───H───@───M───\n",
       "          │   │\n",
       "1: ───────X───M───</pre>"
      ],
      "text/plain": [
       "0: ───H───@───M───\n",
       "          │   │\n",
       "1: ───────X───M───"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Create second circuit\n",
    "bell_circuit = cirq.Circuit(\n",
    "    cirq.H(qubits[0]), cirq.CNOT(qubits[0], qubits[1]), cirq.measure(qubits[0], qubits[1])\n",
    ")\n",
    "\n",
    "# Visualize second circuit\n",
    "bell_circuit"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b63696a1",
   "metadata": {},
   "source": [
    "By passing multiple circuits as a list to the `ibmq_compile` endpoint, we can compile all of them individually with a single call to the endpoint. This will return all the corresponding compiled circuits and pulse gate circuits back as a list, like so:  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "31699457",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Create list of circuits\n",
    "circuit_list = [circuit, bell_circuit]\n",
    "\n",
    "# Compile list of circuits\n",
    "compiler_output_list = service.ibmq_compile(circuit_list, \"ibmq_kingston_qpu\")\n",
    "\n",
    "# The list of compiled output circuits is stored in the `circuits` attribute instead of `circuit`. Likewise for\n",
    "# pulse gate circuits.\n",
    "output_circuits = compiler_output_list.circuits\n",
    "pulse_gate_circuits = compiler_output_list.pulse_gate_circuits"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "2de5dbe1",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Compiled circuit 1 \n",
      "\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"overflow: auto; white-space: pre;\">133: ───Rz(0.75π)─────────────────────────X^0.5───Rz(1.25π)───@───Rz(0.75π)───────────X^0.5───Rz(1.23π)───X^0.5───Rz(0.25π)───@───Rz(1.75π)───X^0.5────────────────────────────Rz(1.25π)───│───M────────────────\n",
       "                                                              │                                                               │                                                            │   │\n",
       "134: ───WaitGate(32000.000000000007 ps)───────────────────────@───WaitGate(64.0 ns)───────────────────────────────────────────@───Rz(π)───────WaitGate(32000.00000000003 ps)───────────────│───M(&#x27;q(0),q(1)&#x27;)───</pre>"
      ],
      "text/plain": [
       "133: ───Rz(0.75π)─────────────────────────X^0.5───Rz(1.25π)───@───Rz(0.75π)───────────X^0.5───Rz(1.23π)───X^0.5───Rz(0.25π)───@───Rz(1.75π)───X^0.5────────────────────────────Rz(1.25π)───│───M────────────────\n",
       "                                                              │                                                               │                                                            │   │\n",
       "134: ───WaitGate(32000.000000000007 ps)───────────────────────@───WaitGate(64.0 ns)───────────────────────────────────────────@───Rz(π)───────WaitGate(32000.00000000003 ps)───────────────│───M('q(0),q(1)')───"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Visualize the first compiled circuit\n",
    "print(\"Compiled circuit 1 \\n\")\n",
    "output_circuits[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "fc6cf4cc",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Estimate circuit durations for the timeline drawer\n",
    "for pg_circ in pulse_gate_circuits:\n",
    "    pg_circ.duration = pg_circ.estimate_duration(backend_target, unit=\"dt\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "81996430",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 3000x300 with 1 Axes>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Visualize the pulse gate circuit for the first compiled circuit\n",
    "qiskit.visualization.timeline_drawer(\n",
    "    pulse_gate_circuits[0], idle_wires=False, style=style, target=backend_target\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "39c2b1d9",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Compiled circuit 2 \n",
      "\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"overflow: auto; white-space: pre;\">133: ───Rz(0.5π)───X^0.5───Rz(π)───@───X^0.5───────────────│───M────────────────\n",
       "                                   │                       │   │\n",
       "134: ───Rz(0.5π)───X^0.5───────────@───WaitGate(32.0 ns)───│───M(&#x27;q(0),q(1)&#x27;)───</pre>"
      ],
      "text/plain": [
       "133: ───Rz(0.5π)───X^0.5───Rz(π)───@───X^0.5───────────────│───M────────────────\n",
       "                                   │                       │   │\n",
       "134: ───Rz(0.5π)───X^0.5───────────@───WaitGate(32.0 ns)───│───M('q(0),q(1)')───"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Visualize the second compiled circuit\n",
    "print(\"Compiled circuit 2 \\n\")\n",
    "output_circuits[1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "7fb554e4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 3000x300 with 1 Axes>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Visualize the pulse gate circuit for the second compiled circuit\n",
    "qiskit.visualization.timeline_drawer(\n",
    "    pulse_gate_circuits[1], idle_wires=False, style=style, target=backend_target\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "501f2692",
   "metadata": {},
   "source": [
    "## Using the Superstaq Simulator\n",
    "\n",
    "Lastly, we will show (a) how to submit a circuit to a backend and (b) how to simulate circuit execution. Simulation is available to free trial users, and can be done by passing the `\"dry-run\"` method parameter when calling `create_job()` on the Superstaq service."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "39643374",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'00': 501, '11': 499}\n"
     ]
    }
   ],
   "source": [
    "# Create job that submits to IBM Quantum backend\n",
    "job = service.create_job(\n",
    "    bell_circuit,\n",
    "    repetitions=1000,\n",
    "    target=\"ibmq_kingston_qpu\",\n",
    "    method=\"dry-run\",  # Specify \"dry-run\" as the method to run Superstaq simulation\n",
    ")\n",
    "\n",
    "# Get the counts from the measurement\n",
    "print(job.counts(0))"
   ]
  }
 ],
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