2+2_Circuit_Braket.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Low Depth Quantum State Preparation Example (Without COPY)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<span style=\"color:red;\">Note: the current version of the Braket auto compiler will tend to automatically push all the quantum gates to the earliest instance when printing out the circuit. Thus, the theoretical advantages of waiting to allocate an ancilla qubit until later in the circuit will not be evident from the circuit outputs.</span>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<span style=\"color:red;\">Note: this example is a hard-coded circuit implementation, which does not generalized to arbitrary quantum state of size $n$. </span>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Overall Structure"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This notebook will provide a concrete example that utilizes our SP+CSP protocol (details described in https://arxiv.org/abs/2303.02131) to prepare an arbitrary quantum state of size $n = 4$, by first preparing an state with $m = 2$ qubits, and then performing a controlled state preparation from that $m$-qubit state into the full $n$-qubit state. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<span style=\"color:orange;\"> We recommend the reader to understand the circuit details in this notebook together with the paper and the other notebook (1+2 version). </span>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The core innovation of this work is to build on the work from Clader et al. (https://ieeexplore.ieee.org/document/10012045) and advance further to:\n",
    "\n",
    "\n",
    "A. Expand $O(\\log(N/\\epsilon))$ T-depth to $O(\\log(N/\\epsilon))$ Clifford + T depth ($O(\\log(N))$ depth using arbitrary single qubit gate + CNOT))\n",
    "\n",
    "B. Achieve $O(N\\log(\\log(N)/\\epsilon))$ spacetime allocation (metric defined in Sec. II of the paper) by allocating the ancillae at a later time, and subsequently freeing them up at an earlier time ($O(N)$ spacetime allocation using arbitrary single qubit gate + CNOT))\n",
    "\n",
    "C. Allow some of the ancilla qubits to be dirty, i.e. they can begin in any arbitrary state and they will be returned to that state at the end of the circuit\n",
    "\n",
    "(Note that $N = 2^n$)\n",
    "\n",
    "All of the above mentioned complexity numbers are either better or equivalent to the best state-of-the-art methods."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<span style=\"color:red;\">Note that this example does not use the $\\mathrm{COPY}$ subcircuits defined in the paper to maximize gate parallelization due to constraints of total qubit counts of simulator. We demonstrate the full quantum circuit with all the necessary $\\mathrm{COPY}$ subcircuits on a smaller quantum state example in the other notebook. </span>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We first prepare the quantum state $|\\phi\\rangle$ using the SP circuit:"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "$U\\mathrm{_{SP}}$ $|00\\rangle$ = $|\\phi\\rangle$ = $\\frac{1}{\\lVert \\mathbf{y} \\rVert}\\sum_{i=0}^{3}y_i|i\\rangle$"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Then, we prepare the full state $|\\psi\\rangle$ with $n=4$ qubits using the CSP circuit:"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": []
   },
   "source": [
    "$U_{\\mathrm{CSP}}(|\\phi\\rangle \\otimes |00\\rangle) = |\\psi\\rangle = \\frac{1}{\\lVert \\mathbf{x}\\rVert}\\sum_{j=0}^{15}x_j |j\\rangle$"
   ]
  },
  {
   "attachments": {
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     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![SP + CSP.png](attachment:4ea13fea-ecb2-4117-adf5-5da77406f43d.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "where $\\mathbf{x} = [x_0, x_1, ..., x_{15}]$ is a vector of size $2^4 = 16$ that holds 16 non-negative real numbers"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### <span style=\"color:green;\">The advantage of using the SP+CSP structure is to hopefully achieve optimality in both circuit depth and spacetime allocation (defined as Eq. 4 in the paper), which in the end saves us more quantum computing resources. </span>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "id": "yrPCka1WJWW8"
   },
   "outputs": [],
   "source": [
    "# Import Braket libraries\n",
    "import braket\n",
    "from braket.circuits import Circuit\n",
    "from braket.aws import AwsDevice\n",
    "from braket.devices import LocalSimulator\n",
    "\n",
    "import numpy as np\n",
    "import math\n",
    "import random\n",
    "from typing import Tuple, Callable\n",
    "\n",
    "from helper_functions import round_to_three_significant_digits, row_to_column_vector, generate_normalized_random_vec, binary_to_decimal"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Circuit Implementation"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Classical Part"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Compute Angles"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "According to Algorithm 1 in the paper, we first classically compute the rotation angles using Eq. 8:"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "$\\theta_{s,p} = 2\\cos^{-1} \\Bigg(\\frac{\\sqrt{\\sum_{l=0}^{2^{m-s-1}-1}|x_{p2^{m-s}+l}|^2}}{\\sqrt{\\sum_{l=0}^{2^{m-s}-1}|x_{p2^{m-s}+l}|^2}}\\Bigg)$"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can first define a function to calculate the values for each individual $s$ and $p$:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "def compute_target_bit_angle(s: int, p: int, WF_array: np.ndarray) -> float:\n",
    "    \"\"\"\n",
    "    Function to compute a particular theta_{s,p} angle according to the equation above\n",
    "    \n",
    "    @param s: as it appear in Eq. 8, also correspond to the index of the ancilla register\n",
    "    @param p: as it appear in E1. 8, also correspond to the index of the qubit within the particular ancilla register\n",
    "    @param WF_array: the entire wave function array of x\n",
    "    \n",
    "    @return: a float/double value that holds the computed angle \n",
    "    \"\"\"\n",
    "    sum_top = 0.0\n",
    "    m = int(math.log(len(WF_array), 2))\n",
    "    for l in range(2 ** (m - s - 1) - 1 + 1): # compute the sum on the numerator\n",
    "        current_var = WF_array[(p) * 2 ** (m - s) + l]\n",
    "        sum_top += current_var ** 2\n",
    "    \n",
    "    sum_bottom = 0.0\n",
    "    for l in range(2 ** (m - s) - 1 + 1): # compute the sum on the denominator\n",
    "        current_var = WF_array[(p) * 2 ** (m - s) + l]\n",
    "        sum_bottom += current_var ** 2\n",
    "        \n",
    "    if sum_bottom == 0: # edge case: arcsin denominator is zero\n",
    "        return 0.0\n",
    "    else:\n",
    "        return 2 * np.arccos(np.sqrt(sum_top) / np.sqrt(sum_bottom))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Then loop over all the possible $s$ and $p$'s to get an array of angles:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_angle_array(WF_array: np.ndarray, m: int, n: int) -> Tuple[np.ndarray, np.ndarray]:\n",
    "    \"\"\"\n",
    "    Function to get the angles arrays both SP and CSP circuit\n",
    "    (Note that one may utilize the tree structure to optimize the classical cost)\n",
    "    \n",
    "    @param WF_array: the entire wave function array of x\n",
    "    @param m: SP part data qubit count\n",
    "    @param n: total data qubit count\n",
    "    \n",
    "    @return sp_angle_array: an array of size 2^m - 1 that holds the rotation angles for the SP part\n",
    "    @return csp_angle_array: an array of size 2^n/2^m - 1 that holds toe roration angles for the CSP part\n",
    "    \"\"\"\n",
    "    assert len(WF_array) == 2 ** n\n",
    "    \n",
    "    sp_angle_array = []\n",
    "    csp_angle_array = []\n",
    "    \n",
    "    for s in range(m):\n",
    "        for p in range(2 ** s):\n",
    "            sp_angle_array.append(compute_target_bit_angle(s, p, WF_array))\n",
    "    \n",
    "    for s in range(m, n):\n",
    "        for p in range(2 ** s):\n",
    "            csp_angle_array.append(compute_target_bit_angle(s, p, WF_array))\n",
    "    \n",
    "    return np.array(sp_angle_array), np.array(csp_angle_array)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Generate Random Vector"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now let's generate 16 normalized real values using the helper function:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[0.2308378  0.17326454 0.23353994 0.0832605  0.3285692  0.33271716\n",
      " 0.26399279 0.06473026 0.21034236 0.13241514 0.10099479 0.38492328\n",
      " 0.4025936  0.01800009 0.34749175 0.24367967]\n",
      "CPU times: user 351 µs, sys: 409 µs, total: 760 µs\n",
      "Wall time: 795 µs\n"
     ]
    }
   ],
   "source": [
    "%%time \n",
    "# this currently scale as O(2^2n), can be optimized to O(2^n) for large n values\n",
    "n = 4 # number of data qubits. We can encode 2^n number of values with n qubits!\n",
    "random.seed(10) # fix a seed for data reproduction purpose, you can change this value to play with other results\n",
    "WF_array = generate_normalized_random_vec(n)\n",
    "print(WF_array) # print out the wave function vector array for validation"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Put Both Parts Together"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Using the generated vector, we can now get the angle arrays for the SP and CSP parts:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1.69648594 1.91545707 1.79006615]\n",
      "[1.41941417 1.05308496 2.02500457 1.62256493 1.28775716 0.68493403\n",
      " 1.58334129 0.48090637 1.12368895 2.62840725 0.08936113 1.22313298]\n"
     ]
    }
   ],
   "source": [
    "m = 2\n",
    "n = 4\n",
    "sp_angle_array, csp_angle_array = get_angle_array(WF_array, m, n)\n",
    "print(sp_angle_array)\n",
    "print(csp_angle_array)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "With the classical part done, let's now begin to look at the quantum part!"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Quantum Part"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In this example, we pre-allocate the ancilla qubits for simplicity and consistency. In the actual algorithm implementation scenario, one can allocate the ancilla qubits dynamically (i.e., ancilla qubits can be allocated for a different task once it is freed from the previous task)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We first allocate qubit #0 - qubit #3 ($q0$ - $q3$) as the data qubits ($D$ register)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### SP Circuit Implementation"
   ]
  },
  {
   "attachments": {
    "e299eafa-304a-4ff2-888d-c7b0255cbe1a.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![SP_circuit_diagram.png](attachment:e299eafa-304a-4ff2-888d-c7b0255cbe1a.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Note that $M = 2^m$ here"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In the SP circuit, $q0$ and $q1$ are the data qubits. We now allocate $q4$ - $q6$ as the $A$ register, and $q7$ - $q9$ as the $F$ register."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We first implement the parallelized Ry gate sequence, shown as the first box in the circuit diagram at position $1$"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "T  : |   0    |\n",
      "               \n",
      "q4 : -Ry(1.70)-\n",
      "               \n",
      "q5 : -Ry(1.92)-\n",
      "               \n",
      "q6 : -Ry(1.79)-\n",
      "\n",
      "T  : |   0    |\n"
     ]
    }
   ],
   "source": [
    "def parallelized_Ry(circ: braket.circuits.circuit.Circuit):\n",
    "    circ.ry(angle=sp_angle_array[0], target=4)\n",
    "    circ.ry(angle=sp_angle_array[1], target=5)\n",
    "    circ.ry(angle=sp_angle_array[2], target=6)\n",
    "    \n",
    "sp_circ1 = Circuit()\n",
    "parallelized_Ry(sp_circ1)\n",
    "print(sp_circ1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Next, we apply the $\\mathrm{SPF}$ operation, shown as the box at position $2$ in the circuit diagram. The goal of SPF is to pump in the parallelized angles into the data qubits and achieve the following quantum state with garbage:"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "$\\mathrm{SPF}\\left(|0^2\\rangle |\\Theta\\rangle \\right) = \\frac{1}{\\lVert \\mathbf{y} \\rVert}\\sum_{j=0}^{3} y_j|j\\rangle |g_j\\rangle$"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "where in this case"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "$|\\Theta\\rangle = |\\theta_{(0,0)}\\rangle|\\theta_{(1,0)}\\rangle|\\theta_{(1,1)}\\rangle$"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "each $|\\theta_{(i,j)}\\rangle$ is the resulted single qubit state from the single-qubit Ry gate from above"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "T  : | 0  | 1  | 2  | 3  |\n",
      "                          \n",
      "q0 : -SWAP-C---------C----\n",
      "      |    |         |    \n",
      "q1 : -|----|----SWAP-|----\n",
      "      |    |    |    |    \n",
      "q4 : -SWAP-|----|----|----\n",
      "           |    |    |    \n",
      "q5 : ------SWAP-SWAP-SWAP-\n",
      "           |         |    \n",
      "q6 : ------SWAP------SWAP-\n",
      "\n",
      "T  : | 0  | 1  | 2  | 3  |\n"
     ]
    }
   ],
   "source": [
    "def SPF_SP(circ: braket.circuits.circuit.Circuit):\n",
    "    circ.swap(0, 4)\n",
    "    circ.cswap(0, 5, 6)\n",
    "    circ.swap(1, 5)\n",
    "    circ.cswap(0, 5, 6)\n",
    "    \n",
    "sp_circ2 = Circuit()\n",
    "SPF_SP(sp_circ2)\n",
    "print(sp_circ2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now the parallelized X sequence:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "T  : |0|\n",
      "        \n",
      "q7 : -X-\n",
      "        \n",
      "q8 : -X-\n",
      "        \n",
      "q9 : -X-\n",
      "\n",
      "T  : |0|\n"
     ]
    }
   ],
   "source": [
    "def parallelized_X_SP(circ: braket.circuits.circuit.Circuit):\n",
    "    circ.x(7)\n",
    "    circ.x(8)\n",
    "    circ.x(9)\n",
    "    \n",
    "sp_circ3 = Circuit()\n",
    "parallelized_X_SP(sp_circ3)\n",
    "print(sp_circ3)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Next is the $\\mathrm{FLAG}$ operation, shown as the box at position $4$ in the circuit diagram. The goal of FLAG is to prepare the expanded address ready for the next parallelized CRy sequence to uncompute the garbage states \n",
    "\n",
    "$|g_j\\rangle = \\bigotimes_{s=0}^{m-1}\\bigotimes_{p=0}^{2^s-1} |\\theta_{s,p}(1- f_{(s,p)|j})\\rangle$. \n",
    "\n",
    "Here, the notation $|\\theta(1-f)\\rangle$ is used to denote that the state is $|\\theta\\rangle$ when $f=0$ and $|0\\rangle$ when $f=1$. In other words, the registers holding $|\\theta_{s,p}\\rangle$ for which $f_{(s,p)|j} = 1$ are replaced with $|0\\rangle$. We see that the output of SPF has the correct amplitudes as the target state $|\\phi\\rangle$, but leaves the data entangled with an $(M-1)$-qubit garbage register.\n",
    "\n",
    "The FLAG operation computes the bit $f_{(s,p)|j}$ into a fresh ancilla for each pair $(s,p)$, \n",
    "\n",
    "i.e., $\\text{FLAG}(|j\\rangle |1^{M-1}\\rangle) = |j\\rangle\\bigotimes_{s=0}^{m-1}\\bigotimes_{p=0}^{2^s-1}|1-f_{(s,p)|j}\\rangle$"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "T  : |0| 1  |\n",
      "             \n",
      "q0 : ---C----\n",
      "        |    \n",
      "q7 : -X-|----\n",
      "        |    \n",
      "q8 : -X-SWAP-\n",
      "        |    \n",
      "q9 : ---SWAP-\n",
      "\n",
      "T  : |0| 1  |\n"
     ]
    }
   ],
   "source": [
    "def FLAG_SP(circ: braket.circuits.circuit.Circuit):\n",
    "    circ.x(7)\n",
    "    circ.x(8)\n",
    "    circ.cswap(0, 8, 9)\n",
    "    \n",
    "sp_circ4 = Circuit()\n",
    "FLAG_SP(sp_circ4)\n",
    "print(sp_circ4)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "With the parallelized CRy sequence, we can now free up the ancilla qubits holding the garbage states $|g_j\\rangle$:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "T  : |         0         |\n",
      "                          \n",
      "q5 : -Ry(-1.92)-----------\n",
      "      |                   \n",
      "q6 : -|---------Ry(-1.79)-\n",
      "      |         |         \n",
      "q8 : -C---------|---------\n",
      "                |         \n",
      "q9 : -----------C---------\n",
      "\n",
      "T  : |         0         |\n"
     ]
    }
   ],
   "source": [
    "def parallelized_CRy(circ: braket.circuits.circuit.Circuit):\n",
    "    circ.ry(angle=-sp_angle_array[1], target=5, control=8)\n",
    "    circ.ry(angle=-sp_angle_array[2], target=6, control=9)\n",
    "    \n",
    "sp_circ5 = Circuit()\n",
    "parallelized_CRy(sp_circ5)\n",
    "print(sp_circ5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "After the garbages states are uncomputed, we now also uncompute the FLAG states to free up these ancillae. \n",
    "\n",
    "Note that $\\mathrm{FLAG}$$^{\\dagger}$ operation is the adjoint operation of $\\mathrm{FLAG}$. Luckily, Braket provides a adjoint function that can save us from implementing it in the reverse order! We now define a generalized adjoint operation function, that is also good for future adjoint operations defined later in this notebook."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "def add_adjoint_operation(original_circ_func: Callable[[braket.circuits.circuit.Circuit], None], circ: braket.circuits.circuit.Circuit):\n",
    "    prev_circ = Circuit()\n",
    "    original_circ_func(prev_circ)\n",
    "    prev_circ_adjoint = prev_circ.adjoint()\n",
    "    adjoint_instruction = prev_circ_adjoint.instructions\n",
    "    circ.add(adjoint_instruction)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now let's use this adjoint function to get $\\mathrm{FLAG}$$^{\\dagger}$:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "T  : |  0   |1|\n",
      "               \n",
      "q0 : -C--------\n",
      "      |        \n",
      "q7 : -|----X---\n",
      "      |        \n",
      "q8 : -SWAP---X-\n",
      "      |        \n",
      "q9 : -SWAP-----\n",
      "\n",
      "T  : |  0   |1|\n"
     ]
    }
   ],
   "source": [
    "sp_circ6 = Circuit()\n",
    "add_adjoint_operation(FLAG_SP, sp_circ6)\n",
    "print(sp_circ6)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "With all the operations defined in the exact gate sequence, let's now put everything together and form the SP circuit ($U\\mathrm{_{SP}}$):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "def SP_circ(circ: braket.circuits.circuit.Circuit):\n",
    "    parallelized_Ry(circ)\n",
    "    SPF_SP(circ)\n",
    "    parallelized_X_SP(circ)\n",
    "    FLAG_SP(circ)\n",
    "    parallelized_CRy(circ)\n",
    "    add_adjoint_operation(FLAG_SP, circ)\n",
    "    parallelized_X_SP(circ)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "T  : |   0    | 1  | 2  | 3  | 4  | 5  |         6         | 7  |8|9|\n",
      "                                                                     \n",
      "q0 : ----------SWAP-C---------C----C------------------------C--------\n",
      "               |    |         |    |                        |        \n",
      "q1 : ----------|----|----SWAP-|----|------------------------|--------\n",
      "               |    |    |    |    |                        |        \n",
      "q4 : -Ry(1.70)-SWAP-|----|----|----|------------------------|--------\n",
      "                    |    |    |    |                        |        \n",
      "q5 : -Ry(1.92)------SWAP-SWAP-SWAP-|----Ry(-1.92)-----------|--------\n",
      "                    |         |    |    |                   |        \n",
      "q6 : -Ry(1.79)------SWAP------SWAP-|----|---------Ry(-1.79)-|--------\n",
      "                                   |    |         |         |        \n",
      "q7 : -X--------X----X----X---------|----|---------|---------|--------\n",
      "                                   |    |         |         |        \n",
      "q8 : -X--------X-------------------SWAP-C---------|---------SWAP-X-X-\n",
      "                                   |              |         |        \n",
      "q9 : -X----------------------------SWAP-----------C---------SWAP-X---\n",
      "\n",
      "T  : |   0    | 1  | 2  | 3  | 4  | 5  |         6         | 7  |8|9|\n"
     ]
    }
   ],
   "source": [
    "SP_circuit = Circuit()\n",
    "SP_circ(SP_circuit)\n",
    "print(SP_circuit)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Click this [example](https://algassert.com/quirk#circuit={%22cols%22:[[{%22id%22:%22Ryft%22,%22arg%22:%221%22},1,1,{%22id%22:%22Ryft%22,%22arg%22:%223%22},{%22id%22:%22Ryft%22,%22arg%22:%222%22},{%22id%22:%22Ryft%22,%22arg%22:%227%22},{%22id%22:%22Ryft%22,%22arg%22:%226%22},{%22id%22:%22Ryft%22,%22arg%22:%225%22},{%22id%22:%22Ryft%22,%22arg%22:%224%22},%22X%22,%22X%22,%22X%22,%22X%22,%22X%22,%22X%22],[%22%E2%80%A2%22,1,1,%22Swap%22,%22Swap%22],[%22%E2%80%A2%22,1,1,1,1,%22Swap%22,1,%22Swap%22],[%22%E2%80%A2%22,1,1,1,1,1,%22Swap%22,1,%22Swap%22],[1,%22Swap%22,1,%22Swap%22],[1,%22%E2%80%A2%22,1,1,1,%22Swap%22,%22Swap%22],[1,1,%22Swap%22,1,1,%22Swap%22],[1,%22%E2%80%A2%22,1,1,1,%22Swap%22,%22Swap%22],[%22%E2%80%A2%22,1,1,%22Swap%22,%22Swap%22],[%22%E2%80%A2%22,1,1,1,1,%22Swap%22,1,%22Swap%22],[%22%E2%80%A2%22,1,1,1,1,1,%22Swap%22,1,%22Swap%22],[1,1,1,1,1,1,1,1,1,%22X%22,1,%22X%22],[1,%22%E2%80%A2%22,1,1,1,1,1,1,1,1,1,%22Swap%22,%22Swap%22],[%22%E2%80%A2%22,1,1,1,1,1,1,1,1,%22Swap%22,%22Swap%22],[%22%E2%80%A2%22,1,1,1,1,1,1,1,1,1,1,%22Swap%22,1,%22Swap%22],[%22%E2%80%A2%22,1,1,1,1,1,1,1,1,1,1,1,%22Swap%22,1,%22Swap%22],[1,1,1,{%22id%22:%22Ryft%22,%22arg%22:%22-3%22},1,1,1,1,1,%22%E2%80%A2%22],[1,1,1,1,{%22id%22:%22Ryft%22,%22arg%22:%22-2%22},1,1,1,1,1,%22%E2%80%A2%22],[1,1,1,1,1,{%22id%22:%22Ryft%22,%22arg%22:%22-7%22},1,1,1,1,1,%22%E2%80%A2%22],[1,1,1,1,1,1,{%22id%22:%22Ryft%22,%22arg%22:%22-6%22},1,1,1,1,1,%22%E2%80%A2%22],[1,1,1,1,1,1,1,{%22id%22:%22Ryft%22,%22arg%22:%22-5%22},1,1,1,1,1,%22%E2%80%A2%22],[1,1,1,1,1,1,1,1,{%22id%22:%22Ryft%22,%22arg%22:%22-4%22},1,1,1,1,1,%22%E2%80%A2%22],[%22%E2%80%A2%22,1,1,1,1,1,1,1,1,%22Swap%22,%22Swap%22],[%22%E2%80%A2%22,1,1,1,1,1,1,1,1,1,1,%22Swap%22,1,%22Swap%22],[%22%E2%80%A2%22,1,1,1,1,1,1,1,1,1,1,1,%22Swap%22,1,%22Swap%22],[1,%22%E2%80%A2%22,1,1,1,1,1,1,1,1,1,%22Swap%22,%22Swap%22],[1,1,1,1,1,1,1,1,1,%22X%22,1,%22X%22],[1,1,1,1,1,1,1,1,1,%22X%22,%22X%22,%22X%22,%22X%22,%22X%22,%22X%22]]}) to see the circuit implementation for a larger (m = 3) case of SP circuit"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### CSP Circuit Implementation"
   ]
  },
  {
   "attachments": {
    "6a0713a4-8df7-48d0-bd47-278de3a318a0.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![CSP_circuit_diagram.png](attachment:6a0713a4-8df7-48d0-bd47-278de3a318a0.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In the CSP circuit, $q0$ - $q3$ are the data qubits. We now allocate $q4$ - $q15$ as the $B$ register, $q16$ - $q19$ as the $A$ register, and $q20$ - $q22$ as the $F$ register. Note that $q4$ - $q9$ was previously used in the SP circuit, but they are all freed up so now can be reallocated for the CSP circuit.\n",
    "\n",
    "<span style=\"color:orange;\">We also note that majority of the $B$ register ($q4$ - $q15$) can also be allocated from dirty qubits (i.e., don't necessarily need to be in the $|0\\rangle$ states)! </span>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "First an easy step for the parallelized X sequence:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "T   : |0|\n",
      "         \n",
      "q20 : -X-\n",
      "         \n",
      "q21 : -X-\n",
      "         \n",
      "q22 : -X-\n",
      "\n",
      "T   : |0|\n"
     ]
    }
   ],
   "source": [
    "def parallelized_X_CSP(circ: braket.circuits.circuit.Circuit):\n",
    "    circ.x(20)\n",
    "    circ.x(21)\n",
    "    circ.x(22)\n",
    "    \n",
    "csp_circ1 = Circuit()\n",
    "parallelized_X_CSP(csp_circ1)\n",
    "print(csp_circ1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now comes the tricky part: the $\\mathrm{LOADF}$ operation. \n",
    "\n",
    "##### <span style=\"color:green;\">This is where the magic happens! That is, we can effectively pump in $O(N)$ parallelized angles using only $O(\\log N)$ depth and $O(N)$ spacetime allocation! </span>\n",
    "\n",
    "Note that $N = 2^n$\n",
    "\n",
    "We can implement it using the $\\mathrm{Setup}$-$\\mathrm{CCRy}$-$\\mathrm{Setup}$$^{\\dagger}$ structure, depicted in the upper right of the following picture:"
   ]
  },
  {
   "attachments": {
    "84319e0f-ad2a-4aa9-99ee-9f58e1105376.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![LOADF_circuit_diagram.png](attachment:84319e0f-ad2a-4aa9-99ee-9f58e1105376.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "(recall than $M = 2^m$, and $m$ represents the number of data qubits in the $U_{\\mathrm{SP}}$ operation. $N = 2^n$, and $n$ represents the number of data qubits in the $U_{\\mathrm{CSP}}$ operation.)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let see how $\\mathrm{Setup}$ is implemented. Basically, it covers all the operations in the orange box on the left. (Note that the $\\mathrm{COPY}$ operation and the copy statements in the $\\overline{\\mathrm{CopySwap}}$ are not implemented due to qubit number constraints). The goal of $\\mathrm{Setup}$ is to set up the expanded address in preparation for the $\\mathrm{CCRy}$ sequence to load in all the angles conditioned on the $|k\\rangle$ state."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "def Setup(circ: braket.circuits.circuit.Circuit):\n",
    "    circ.x(16)\n",
    "    # the following instructions correspond to the first CopySwap\n",
    "    circ.cswap(1, 16, 17)\n",
    "    circ.cswap(0, 16, 18)\n",
    "    circ.cswap(0, 17, 19)\n",
    "    \n",
    "    # the following instructions correspond to the \\tilde{B} many CopySwap's\n",
    "    circ.cswap(1, 4, 5)\n",
    "    circ.cswap(0, 4, 6)\n",
    "    circ.cswap(0, 5, 7)\n",
    "    circ.cswap(1, 8, 10)\n",
    "    circ.cswap(1, 9, 11)\n",
    "    circ.cswap(0, 8, 12)\n",
    "    circ.cswap(0, 9, 13)\n",
    "    circ.cswap(0, 10, 14)\n",
    "    circ.cswap(0, 11, 15)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "T   : |0| 1  |    2    |    3    |    4    | 5  | 6  | 7  | 8  | 9  |\n",
      "                                                                     \n",
      "q0  : --------C---------C---------C---------C----C----C----C----C----\n",
      "              |         |         |         |    |    |    |    |    \n",
      "q1  : ---C----|----C----|----C----|----C----|----|----|----|----|----\n",
      "         |    |    |    |    |    |    |    |    |    |    |    |    \n",
      "q4  : ---|----|----SWAP-|----|----SWAP-|----|----|----|----|----|----\n",
      "         |    |    |    |    |    |    |    |    |    |    |    |    \n",
      "q5  : ---|----|----SWAP-|----|----|----|----SWAP-|----|----|----|----\n",
      "         |    |         |    |    |    |    |    |    |    |    |    \n",
      "q6  : ---|----|---------|----|----SWAP-|----|----|----|----|----|----\n",
      "         |    |         |    |         |    |    |    |    |    |    \n",
      "q7  : ---|----|---------|----|---------|----SWAP-|----|----|----|----\n",
      "         |    |         |    |         |         |    |    |    |    \n",
      "q8  : ---|----|---------|----SWAP------|---------SWAP-|----|----|----\n",
      "         |    |         |    |         |         |    |    |    |    \n",
      "q9  : ---|----|---------|----|---------SWAP------|----SWAP-|----|----\n",
      "         |    |         |    |         |         |    |    |    |    \n",
      "q10 : ---|----|---------|----SWAP------|---------|----|----SWAP-|----\n",
      "         |    |         |              |         |    |    |    |    \n",
      "q11 : ---|----|---------|--------------SWAP------|----|----|----SWAP-\n",
      "         |    |         |                        |    |    |    |    \n",
      "q12 : ---|----|---------|------------------------SWAP-|----|----|----\n",
      "         |    |         |                             |    |    |    \n",
      "q13 : ---|----|---------|-----------------------------SWAP-|----|----\n",
      "         |    |         |                                  |    |    \n",
      "q14 : ---|----|---------|----------------------------------SWAP-|----\n",
      "         |    |         |                                       |    \n",
      "q15 : ---|----|---------|---------------------------------------SWAP-\n",
      "         |    |         |                                            \n",
      "q16 : -X-SWAP-SWAP------|--------------------------------------------\n",
      "         |    |         |                                            \n",
      "q17 : ---SWAP-|---------SWAP-----------------------------------------\n",
      "              |         |                                            \n",
      "q18 : --------SWAP------|--------------------------------------------\n",
      "                        |                                            \n",
      "q19 : ------------------SWAP-----------------------------------------\n",
      "\n",
      "T   : |0| 1  |    2    |    3    |    4    | 5  | 6  | 7  | 8  | 9  |\n"
     ]
    }
   ],
   "source": [
    "csp_circ2a = Circuit()\n",
    "Setup(csp_circ2a)\n",
    "print(csp_circ2a)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "With $\\mathrm{Setup}$ implemented, now we can use the $\\mathrm{CCRy}$ operation (depicted as the green box in the middle) to load all the angles in parallel. (Note that this implementation does not actually execute in parallel. We would need the $\\mathrm{COPY}$ operations to separate out the control bits and then fully realize this.)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "def paralellized_CCRy(circ: braket.circuits.circuit.Circuit):\n",
    "    circ.ry(angle=csp_angle_array[0], target=4, control=(16, 20))\n",
    "    circ.ry(angle=csp_angle_array[1], target=5, control=(17, 20))\n",
    "    circ.ry(angle=csp_angle_array[2], target=6, control=(18, 20))\n",
    "    circ.ry(angle=csp_angle_array[3], target=7, control=(19, 20))\n",
    "    circ.ry(angle=csp_angle_array[4], target=8, control=(16, 21))\n",
    "    circ.ry(angle=csp_angle_array[5], target=9, control=(16, 22))\n",
    "    circ.ry(angle=csp_angle_array[6], target=10, control=(17, 21))\n",
    "    circ.ry(angle=csp_angle_array[7], target=11, control=(17, 22))\n",
    "    circ.ry(angle=csp_angle_array[8], target=12, control=(18, 21))\n",
    "    circ.ry(angle=csp_angle_array[9], target=13, control=(18, 22))\n",
    "    circ.ry(angle=csp_angle_array[10], target=14, control=(19, 21))\n",
    "    circ.ry(angle=csp_angle_array[11], target=15, control=(19, 22))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "T   : |   0    |        1        |            2             |            3             |        4        |   5    |\n",
      "                                                                                                                   \n",
      "q4  : -Ry(1.42)----------------------------------------------------------------------------------------------------\n",
      "       |                                                                                                           \n",
      "q5  : -|--------Ry(1.05)-------------------------------------------------------------------------------------------\n",
      "       |        |                                                                                                  \n",
      "q6  : -|--------|-----------------Ry(2.03)-------------------------------------------------------------------------\n",
      "       |        |                 |                                                                                \n",
      "q7  : -|--------|-----------------|--------------------------Ry(1.62)----------------------------------------------\n",
      "       |        |                 |                          |                                                     \n",
      "q8  : -|--------|--------Ry(1.29)-|--------------------------|-----------------------------------------------------\n",
      "       |        |        |        |                          |                                                     \n",
      "q9  : -|--------|--------|--------|--------Ry(0.68)----------|-----------------------------------------------------\n",
      "       |        |        |        |        |                 |                                                     \n",
      "q10 : -|--------|--------|--------|--------|--------Ry(1.58)-|-----------------------------------------------------\n",
      "       |        |        |        |        |        |        |                                                     \n",
      "q11 : -|--------|--------|--------|--------|--------|--------|--------Ry(0.48)-------------------------------------\n",
      "       |        |        |        |        |        |        |        |                                            \n",
      "q12 : -|--------|--------|--------|--------|--------|--------|--------|--------Ry(1.12)----------------------------\n",
      "       |        |        |        |        |        |        |        |        |                                   \n",
      "q13 : -|--------|--------|--------|--------|--------|--------|--------|--------|--------Ry(2.63)-------------------\n",
      "       |        |        |        |        |        |        |        |        |        |                          \n",
      "q14 : -|--------|--------|--------|--------|--------|--------|--------|--------|--------|--------Ry(0.09)----------\n",
      "       |        |        |        |        |        |        |        |        |        |        |                 \n",
      "q15 : -|--------|--------|--------|--------|--------|--------|--------|--------|--------|--------|--------Ry(1.22)-\n",
      "       |        |        |        |        |        |        |        |        |        |        |        |        \n",
      "q16 : -C--------|--------C--------|--------C--------|--------|--------|--------|--------|--------|--------|--------\n",
      "       |        |        |        |        |        |        |        |        |        |        |        |        \n",
      "q17 : -|--------C--------|--------|--------|--------C--------|--------C--------|--------|--------|--------|--------\n",
      "       |        |        |        |        |        |        |        |        |        |        |        |        \n",
      "q18 : -|--------|--------|--------C--------|--------|--------|--------|--------C--------C--------|--------|--------\n",
      "       |        |        |        |        |        |        |        |        |        |        |        |        \n",
      "q19 : -|--------|--------|--------|--------|--------|--------C--------|--------|--------|--------C--------C--------\n",
      "       |        |        |        |        |        |        |        |        |        |        |        |        \n",
      "q20 : -C--------C--------|--------C--------|--------|--------C--------|--------|--------|--------|--------|--------\n",
      "                         |                 |        |                 |        |        |        |        |        \n",
      "q21 : -------------------C-----------------|--------C-----------------|--------C--------|--------C--------|--------\n",
      "                                           |                          |                 |                 |        \n",
      "q22 : -------------------------------------C--------------------------C-----------------C-----------------C--------\n",
      "\n",
      "T   : |   0    |        1        |            2             |            3             |        4        |   5    |\n"
     ]
    }
   ],
   "source": [
    "csp_circ2b = Circuit()\n",
    "paralellized_CCRy(csp_circ2b)\n",
    "print(csp_circ2b)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now assemble $\\mathrm{Setup}$, $\\mathrm{CCRy}$, $\\mathrm{Setup}$$^{\\dagger}$ (using adjoint of $\\mathrm{Setup}$) together to form the $\\mathrm{LOADF}$ operation:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "def LOADF(circ: braket.circuits.circuit.Circuit):\n",
    "    Setup(circ)\n",
    "    paralellized_CCRy(circ)\n",
    "    add_adjoint_operation(Setup, circ)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "(You can also try to print out the entire LOADF circuit, but it might be a little large to display)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "csp_circ2 = Circuit()\n",
    "LOADF(csp_circ2)\n",
    "# print(csp_circ2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Then the $\\mathrm{SPF}$ and $\\mathrm{FLAG}$ is basically the same as those in the SP circuit:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "T  : | 0  | 1  | 2  | 3  |\n",
      "                          \n",
      "q2 : -SWAP-C---------C----\n",
      "      |    |         |    \n",
      "q3 : -|----|----SWAP-|----\n",
      "      |    |    |    |    \n",
      "q4 : -SWAP-|----|----|----\n",
      "           |    |    |    \n",
      "q8 : ------SWAP-SWAP-SWAP-\n",
      "           |         |    \n",
      "q9 : ------SWAP------SWAP-\n",
      "\n",
      "T  : | 0  | 1  | 2  | 3  |\n"
     ]
    }
   ],
   "source": [
    "def SPF_CSP(circ: braket.circuits.circuit.Circuit):\n",
    "    circ.swap(2, 4)\n",
    "    circ.cswap(2, 8, 9)\n",
    "    circ.swap(3, 8)\n",
    "    circ.cswap(2, 8, 9)\n",
    "    \n",
    "csp_circ3 = Circuit()\n",
    "SPF_CSP(csp_circ3)\n",
    "print(csp_circ3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "T   : |0| 1  |\n",
      "              \n",
      "q2  : ---C----\n",
      "         |    \n",
      "q20 : -X-|----\n",
      "         |    \n",
      "q21 : -X-SWAP-\n",
      "         |    \n",
      "q22 : ---SWAP-\n",
      "\n",
      "T   : |0| 1  |\n"
     ]
    }
   ],
   "source": [
    "def FLAG_CSP(circ: braket.circuits.circuit.Circuit):\n",
    "    circ.x(20)\n",
    "    circ.x(21)\n",
    "    circ.cswap(2, 21, 22)\n",
    "    \n",
    "csp_circ4 = Circuit()\n",
    "FLAG_CSP(csp_circ4)\n",
    "print(csp_circ4)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now assemble all the operations to form the CSP circuit ($U\\mathrm{_{CSP}}$). Note that e.g. $\\mathrm{LOADF}^{\\dagger}$ can be done by simple calling the adjoint of $\\mathrm{LOADF}$"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "def CSP_circ(circ: braket.circuits.circuit.Circuit):\n",
    "    parallelized_X_CSP(circ)\n",
    "    LOADF(circ)\n",
    "    SPF_CSP(circ)\n",
    "    FLAG_CSP(circ)\n",
    "    add_adjoint_operation(LOADF, circ)\n",
    "    add_adjoint_operation(FLAG_CSP, circ)\n",
    "    parallelized_X_CSP(circ)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Finally, let's put SP circuit and CSP circuit together!"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "(You can also try to print out the entire circuit, but it might be a little large to display)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "circ = Circuit()\n",
    "SP_circ(circ)\n",
    "CSP_circ(circ)\n",
    "# print(circ)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Circuit Execution Using Braket's LocalSimulator"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now, let test our circuit's output result. We first define our simulator as:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "This program uses OpenQASM language features that may not be supported on QPUs or on-demand simulators.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 45.2 s, sys: 6.18 s, total: 51.4 s\n",
      "Wall time: 10.1 s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "# Run the circuit and get the state vector output\n",
    "from braket.devices import LocalSimulator\n",
    "braket_device = LocalSimulator()\n",
    "circ.state_vector()\n",
    "braket_state_vector_result = braket_device.run(circ, shots=0).result()\n",
    "result_vec_1d = braket_state_vector_result.values[0]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We need to do the digit conversion below to exactly extract the states for the first 3 qubits (the other qubits are the ancilla bits uncomputed to the $|0\\rangle$ states and thus should not carry any amplitudes)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_data_qubit_index_array(m: int, n: int) -> np.ndarray:\n",
    "    \"\"\"\n",
    "    Function to get the decimal indices for the basis with ancilla qubits all in the |0> states\n",
    "    \n",
    "    @param m: number of data qubits involved\n",
    "    @param n: number of total qubits involved\n",
    "    \n",
    "    @return data_qubit_index_array: an array that represent all the indices in the decimal form\n",
    "    \"\"\"\n",
    "    data_qubit_index_array = []\n",
    "    for i in range(2 ** m):\n",
    "        data_binary_str = format(i, '03b')  # Format 'i' as a binary string\n",
    "        total_binary_str = data_binary_str + ('0' * (n - m)) # concatenate the remaining zeros on the ancilla qubits\n",
    "        data_qubit_index_array.append(binary_to_decimal(total_binary_str))\n",
    "    return np.array(data_qubit_index_array)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "data_qubit_index_array = get_data_qubit_index_array(4, 23)\n",
    "state_vector_array_converted = []\n",
    "for num in data_qubit_index_array:\n",
    "    state_vector_array_converted.append(result_vec_1d[num])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's print out the results. We round the number of digits to 3, and use a row to column vector converter to make things look nice."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The first 16 elements of the state vector are:\n",
      "[[0.231+0.j]\n",
      " [0.173+0.j]\n",
      " [0.234+0.j]\n",
      " [0.083+0.j]\n",
      " [0.329+0.j]\n",
      " [0.333+0.j]\n",
      " [0.264+0.j]\n",
      " [0.065+0.j]\n",
      " [0.21 +0.j]\n",
      " [0.132+0.j]\n",
      " [0.101+0.j]\n",
      " [0.385+0.j]\n",
      " [0.403+0.j]\n",
      " [0.018+0.j]\n",
      " [0.347+0.j]\n",
      " [0.244+0.j]]\n",
      "\n",
      "Also to make sure there is no leftover amplitude in other states, let's compute the sum of the squared amplitudes of the first 16 elements:\n",
      "(1.0000000000000002+0j)\n"
     ]
    }
   ],
   "source": [
    "print('The first 16 elements of the state vector are:')\n",
    "print(row_to_column_vector(round_to_three_significant_digits(state_vector_array_converted, 3)))\n",
    "print()\n",
    "print('Also to make sure there is no leftover amplitude in other states, let\\'s compute the sum of the squared amplitudes of the first 16 elements:')\n",
    "print(np.dot(state_vector_array_converted, state_vector_array_converted))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Printing out the wave function array again:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[0.231]\n",
      " [0.173]\n",
      " [0.234]\n",
      " [0.083]\n",
      " [0.329]\n",
      " [0.333]\n",
      " [0.264]\n",
      " [0.065]\n",
      " [0.21 ]\n",
      " [0.132]\n",
      " [0.101]\n",
      " [0.385]\n",
      " [0.403]\n",
      " [0.018]\n",
      " [0.347]\n",
      " [0.244]]\n"
     ]
    }
   ],
   "source": [
    "print(row_to_column_vector(round_to_three_significant_digits(WF_array, 3)))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's see the actual difference between the expected amplitude vector vs what is actually produced:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[-8.32667268e-17+0.j]\n",
      " [-2.77555756e-17+0.j]\n",
      " [ 0.00000000e+00+0.j]\n",
      " [ 1.38777878e-17+0.j]\n",
      " [ 1.11022302e-16+0.j]\n",
      " [ 1.11022302e-16+0.j]\n",
      " [-1.11022302e-16+0.j]\n",
      " [-4.16333634e-17+0.j]\n",
      " [ 2.77555756e-17+0.j]\n",
      " [ 5.55111512e-17+0.j]\n",
      " [ 5.55111512e-17+0.j]\n",
      " [ 0.00000000e+00+0.j]\n",
      " [ 1.11022302e-16+0.j]\n",
      " [ 6.80011603e-16+0.j]\n",
      " [ 1.11022302e-16+0.j]\n",
      " [ 2.77555756e-17+0.j]]\n"
     ]
    }
   ],
   "source": [
    "print(row_to_column_vector(np.array(state_vector_array_converted) - np.array(WF_array)))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The result matches perfectly with the desired output!"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Printing out Braket SDK version for debugging:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'1.55.0'"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import braket._sdk as braket_sdk\n",
    "braket_sdk.__version__"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "3.10.11\n"
     ]
    }
   ],
   "source": [
    "from platform import python_version\n",
    "print(python_version())"
   ]
  }
 ],
 "metadata": {
  "colab": {
   "provenance": []
  },
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.11"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}