|
a |
|
b/Code/All Qiskit, PennyLane QML Nov 23/05a PyTorch qGAN LowEntropy kkawchak.ipynb |
|
|
1 |
{ |
|
|
2 |
"cells": [ |
|
|
3 |
{ |
|
|
4 |
"cell_type": "markdown", |
|
|
5 |
"metadata": { |
|
|
6 |
"pycharm": { |
|
|
7 |
"name": "#%% md\n" |
|
|
8 |
} |
|
|
9 |
}, |
|
|
10 |
"source": [ |
|
|
11 |
"# PyTorch qGAN Implementation\n", |
|
|
12 |
"\n", |
|
|
13 |
"\n", |
|
|
14 |
"## Overview\n", |
|
|
15 |
"\n", |
|
|
16 |
"This tutorial introduces step-by-step how to build a PyTorch-based Quantum Generative Adversarial Network algorithm.\n", |
|
|
17 |
"\n", |
|
|
18 |
"The tutorial is structured as follows:\n", |
|
|
19 |
"\n", |
|
|
20 |
"1. [Introduction](#1.-Introduction)\n", |
|
|
21 |
"2. [Data and Represtation](#2.-Data-and-Representation)\n", |
|
|
22 |
"3. [Definitions of the Neural Networks](#3.-Definitions-of-the-Neural-Networks)\n", |
|
|
23 |
"4. [Setting up Parameters for the Training Loop](#4.-Setting-up-the-Training-Loop)\n", |
|
|
24 |
"5. [Model Training](#5.-Model-Training)\n", |
|
|
25 |
"6. [Results: Cumulative Density Functions](#6.-Results:-Cumulative-Density-Functions)\n", |
|
|
26 |
"7. [Conclusion](#7.-Conclusion)\n", |
|
|
27 |
"\n", |
|
|
28 |
"## 1. Introduction\n", |
|
|
29 |
"\n", |
|
|
30 |
"The qGAN \\[1\\] is a hybrid quantum-classical algorithm used for generative modeling tasks. The algorithm uses the interplay of a quantum generator $G_{\\theta}$, i.e., an ansatz (parametrized quantum circuit), and a classical discriminator $D_{\\phi}$, a neural network, to learn the underlying probability distribution given training data.\n", |
|
|
31 |
"\n", |
|
|
32 |
"The generator and discriminator are trained in alternating optimization steps, where the generator aims at generating probabilities that will be classified by the discriminator as training data values (i.e, probabilities from the real training distribution), and the discriminator tries to differentiate between original distribution and probabilities from the generator (in other words, telling apart the real and generated distributions). The final goal is for the quantum generator to learn a representation for the target probability distribution.\n", |
|
|
33 |
"The trained quantum generator can, thus, be used to load a quantum state which is an approximate model of the target distribution.\n", |
|
|
34 |
"\n", |
|
|
35 |
"**References:**\n", |
|
|
36 |
"\n", |
|
|
37 |
"\\[1\\] Zoufal et al., [Quantum Generative Adversarial Networks for learning and loading random distributions](https://www.nature.com/articles/s41534-019-0223-2)\n", |
|
|
38 |
"\n", |
|
|
39 |
"### 1.1. qGANs for Loading Random Distributions\n", |
|
|
40 |
"\n", |
|
|
41 |
"Given $k$-dimensional data samples, we employ a quantum Generative Adversarial Network (qGAN) to learn a random distribution and to load it directly into a quantum state:\n", |
|
|
42 |
"\n", |
|
|
43 |
"$$ \\big| g_{\\theta}\\rangle = \\sum_{j=0}^{2^n-1} \\sqrt{p_{\\theta}^{j}}\\big| j \\rangle $$\n", |
|
|
44 |
"\n", |
|
|
45 |
"where $p_{\\theta}^{j}$ describe the occurrence probabilities of the basis states $\\big| j\\rangle$.\n", |
|
|
46 |
"\n", |
|
|
47 |
"The aim of the qGAN training is to generate a state $\\big| g_{\\theta}\\rangle$ where $p_{\\theta}^{j}$, for $j\\in \\left\\{0, \\ldots, {2^n-1} \\right\\}$, describe a probability distribution that is close to the distribution underlying the training data $X=\\left\\{x^0, \\ldots, x^{k-1} \\right\\}$.\n", |
|
|
48 |
"\n", |
|
|
49 |
"For further details please refer to [Quantum Generative Adversarial Networks for Learning and Loading Random Distributions](https://arxiv.org/abs/1904.00043) _Zoufal, Lucchi, Woerner_ \\[2019\\].\n", |
|
|
50 |
"\n", |
|
|
51 |
"For an example of how to use a trained qGAN in an application, the pricing of financial derivatives, please see the\n", |
|
|
52 |
"[Option Pricing with qGANs](https://qiskit.org/ecosystem/finance/tutorials/10_qgan_option_pricing.html) tutorial.\n", |
|
|
53 |
"\n", |
|
|
54 |
"## 2. Data and Representation\n", |
|
|
55 |
"\n", |
|
|
56 |
"First, we need to load our training data $X$.\n", |
|
|
57 |
"\n", |
|
|
58 |
"In this tutorial, the training data is given by a 2D multivariate normal distribution.\n", |
|
|
59 |
"\n", |
|
|
60 |
"The goal of the generator is to learn how to represent such distribution, and the trained generator should correspond to an $n$-qubit quantum state\n", |
|
|
61 |
"\\begin{equation}\n", |
|
|
62 |
"|g_{\\text{trained}}\\rangle=\\sum\\limits_{j=0}^{k-1}\\sqrt{p_{j}}|x_{j}\\rangle,\n", |
|
|
63 |
"\\end{equation}\n", |
|
|
64 |
"where the basis states $|x_{j}\\rangle$ represent the data items in the training data set\n", |
|
|
65 |
"$X={x_0, \\ldots, x_{k-1}}$ with $k\\leq 2^n$ and $p_j$ refers to the sampling probability\n", |
|
|
66 |
"of $|x_{j}\\rangle$.\n", |
|
|
67 |
"\n", |
|
|
68 |
"To facilitate this representation, we need to map the samples from the multivariate\n", |
|
|
69 |
"normal distribution to discrete values. The number of values that can be represented\n", |
|
|
70 |
"depends on the number of qubits used for the mapping.\n", |
|
|
71 |
"Hence, the data resolution is defined by the number of qubits.\n", |
|
|
72 |
"If we use $3$ qubits to represent one feature, we have $2^3 = 8$ discrete values.\n", |
|
|
73 |
"\n", |
|
|
74 |
"We first begin by fixing seeds in the random number generators for reproducibility of the outcome in this tutorial." |
|
|
75 |
] |
|
|
76 |
}, |
|
|
77 |
{ |
|
|
78 |
"cell_type": "code", |
|
|
79 |
"execution_count": 19, |
|
|
80 |
"metadata": { |
|
|
81 |
"pycharm": { |
|
|
82 |
"name": "#%%\n" |
|
|
83 |
} |
|
|
84 |
}, |
|
|
85 |
"outputs": [], |
|
|
86 |
"source": [ |
|
|
87 |
"import torch\n", |
|
|
88 |
"from qiskit.utils import algorithm_globals\n", |
|
|
89 |
"\n", |
|
|
90 |
"algorithm_globals.random_seed = 123456\n", |
|
|
91 |
"_ = torch.manual_seed(123456) # suppress output" |
|
|
92 |
] |
|
|
93 |
}, |
|
|
94 |
{ |
|
|
95 |
"cell_type": "markdown", |
|
|
96 |
"metadata": { |
|
|
97 |
"pycharm": { |
|
|
98 |
"name": "#%% md\n" |
|
|
99 |
} |
|
|
100 |
}, |
|
|
101 |
"source": [ |
|
|
102 |
"We fix the number of dimensions, the discretization number and compute the number of qubits required as $2^3 = 8$." |
|
|
103 |
] |
|
|
104 |
}, |
|
|
105 |
{ |
|
|
106 |
"cell_type": "code", |
|
|
107 |
"execution_count": 20, |
|
|
108 |
"metadata": {}, |
|
|
109 |
"outputs": [], |
|
|
110 |
"source": [ |
|
|
111 |
"import numpy as np\n", |
|
|
112 |
"\n", |
|
|
113 |
"num_dim = 2\n", |
|
|
114 |
"num_discrete_values = 8\n", |
|
|
115 |
"num_qubits = num_dim * int(np.log2(num_discrete_values))" |
|
|
116 |
] |
|
|
117 |
}, |
|
|
118 |
{ |
|
|
119 |
"cell_type": "markdown", |
|
|
120 |
"metadata": {}, |
|
|
121 |
"source": [ |
|
|
122 |
"Then, we prepare a discrete distribution from the continuous 2D normal distribution. We evaluate the continuous probability density function (PDF) on the grid $(-2, 2)^2$ with a discretization of $8$ values per feature. Thus, we have $64$ values of the PDF. Since this will be a discrete distribution we normalize the obtained probabilities." |
|
|
123 |
] |
|
|
124 |
}, |
|
|
125 |
{ |
|
|
126 |
"cell_type": "code", |
|
|
127 |
"execution_count": 21, |
|
|
128 |
"metadata": {}, |
|
|
129 |
"outputs": [], |
|
|
130 |
"source": [ |
|
|
131 |
"from scipy.stats import multivariate_normal\n", |
|
|
132 |
"\n", |
|
|
133 |
"coords = np.linspace(-2, 2, num_discrete_values)\n", |
|
|
134 |
"rv = multivariate_normal(mean=[0.0, 0.0], cov=[[1, 0], [0, 1]], seed=algorithm_globals.random_seed)\n", |
|
|
135 |
"grid_elements = np.transpose([np.tile(coords, len(coords)), np.repeat(coords, len(coords))])\n", |
|
|
136 |
"prob_data = rv.pdf(grid_elements)\n", |
|
|
137 |
"prob_data = prob_data / np.sum(prob_data)" |
|
|
138 |
] |
|
|
139 |
}, |
|
|
140 |
{ |
|
|
141 |
"cell_type": "markdown", |
|
|
142 |
"metadata": {}, |
|
|
143 |
"source": [ |
|
|
144 |
"Let's visualize our distribution. It is a nice bell-shaped bivariate normal distribution on a discrete grid." |
|
|
145 |
] |
|
|
146 |
}, |
|
|
147 |
{ |
|
|
148 |
"cell_type": "code", |
|
|
149 |
"execution_count": 22, |
|
|
150 |
"metadata": {}, |
|
|
151 |
"outputs": [ |
|
|
152 |
{ |
|
|
153 |
"data": { |
|
|
154 |
"image/png": "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\n", |
|
|
155 |
"text/plain": [ |
|
|
156 |
"<Figure size 900x900 with 2 Axes>" |
|
|
157 |
] |
|
|
158 |
}, |
|
|
159 |
"metadata": {}, |
|
|
160 |
"output_type": "display_data" |
|
|
161 |
} |
|
|
162 |
], |
|
|
163 |
"source": [ |
|
|
164 |
"import matplotlib.pyplot as plt\n", |
|
|
165 |
"from matplotlib import cm\n", |
|
|
166 |
"\n", |
|
|
167 |
"mesh_x, mesh_y = np.meshgrid(coords, coords)\n", |
|
|
168 |
"grid_shape = (num_discrete_values, num_discrete_values)\n", |
|
|
169 |
"\n", |
|
|
170 |
"fig, ax = plt.subplots(figsize=(9, 9), subplot_kw={\"projection\": \"3d\"})\n", |
|
|
171 |
"prob_grid = np.reshape(prob_data, grid_shape)\n", |
|
|
172 |
"surf = ax.plot_surface(mesh_x, mesh_y, prob_grid, cmap=cm.coolwarm, linewidth=0, antialiased=False)\n", |
|
|
173 |
"fig.colorbar(surf, shrink=0.5, aspect=5)\n", |
|
|
174 |
"plt.show()" |
|
|
175 |
] |
|
|
176 |
}, |
|
|
177 |
{ |
|
|
178 |
"cell_type": "markdown", |
|
|
179 |
"metadata": { |
|
|
180 |
"pycharm": { |
|
|
181 |
"name": "#%% md\n" |
|
|
182 |
} |
|
|
183 |
}, |
|
|
184 |
"source": [ |
|
|
185 |
"## 3. Definitions of the Neural Networks\n", |
|
|
186 |
"In this section we define two neural networks as described above:\n", |
|
|
187 |
"\n", |
|
|
188 |
"- A quantum generator as a quantum neural network.\n", |
|
|
189 |
"- A classical discriminator as a PyTorch-based neural network.\n", |
|
|
190 |
"\n", |
|
|
191 |
"### 3.1. Definition of the quantum neural network ansatz\n", |
|
|
192 |
"\n", |
|
|
193 |
"Now, we define the parameterized quantum circuit $G\\left(\\boldsymbol{\\theta}\\right)$ with $\\boldsymbol{\\theta} = {\\theta_1, ..., \\theta_k}$ which will be used in our quantum generator.\n", |
|
|
194 |
"\n", |
|
|
195 |
"To implement the quantum generator, we choose a hardware efficient ansatz with $6$ repetitions. The ansatz implements $R_Y$, $R_Z$ rotations and $CX$ gates which takes a uniform distribution as an input state. Notably, for $k>1$ the generator's parameters must be chosen carefully. For example, the circuit depth should be more than $1$ because higher circuit depths enable the representation of more complex structures. Here, we construct quite a deep circuit with a large number of parameters to be able to adequately capture and represent the distribution." |
|
|
196 |
] |
|
|
197 |
}, |
|
|
198 |
{ |
|
|
199 |
"cell_type": "code", |
|
|
200 |
"execution_count": 23, |
|
|
201 |
"metadata": { |
|
|
202 |
"pycharm": { |
|
|
203 |
"name": "#%%\n" |
|
|
204 |
} |
|
|
205 |
}, |
|
|
206 |
"outputs": [], |
|
|
207 |
"source": [ |
|
|
208 |
"from qiskit import QuantumCircuit\n", |
|
|
209 |
"from qiskit.circuit.library import EfficientSU2, TwoLocal, PauliTwoDesign\n", |
|
|
210 |
"\n", |
|
|
211 |
"qc = QuantumCircuit(num_qubits)\n", |
|
|
212 |
"qc.h(qc.qubits)\n", |
|
|
213 |
"\n", |
|
|
214 |
"ansatz = EfficientSU2(num_qubits, reps=6)\n", |
|
|
215 |
"qc.compose(ansatz, inplace=True)" |
|
|
216 |
] |
|
|
217 |
}, |
|
|
218 |
{ |
|
|
219 |
"cell_type": "markdown", |
|
|
220 |
"metadata": { |
|
|
221 |
"pycharm": { |
|
|
222 |
"name": "#%% md\n" |
|
|
223 |
} |
|
|
224 |
}, |
|
|
225 |
"source": [ |
|
|
226 |
"Let's draw our circuit and see what it looks like. On the plot we may notice a pattern that appears $6$ times." |
|
|
227 |
] |
|
|
228 |
}, |
|
|
229 |
{ |
|
|
230 |
"cell_type": "code", |
|
|
231 |
"execution_count": 24, |
|
|
232 |
"metadata": { |
|
|
233 |
"pycharm": { |
|
|
234 |
"name": "#%%\n" |
|
|
235 |
} |
|
|
236 |
}, |
|
|
237 |
"outputs": [ |
|
|
238 |
{ |
|
|
239 |
"data": { |
|
|
240 |
"image/png": "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\n", |
|
|
241 |
"text/plain": [ |
|
|
242 |
"<Figure size 2210.55x1120.39 with 1 Axes>" |
|
|
243 |
] |
|
|
244 |
}, |
|
|
245 |
"execution_count": 24, |
|
|
246 |
"metadata": {}, |
|
|
247 |
"output_type": "execute_result" |
|
|
248 |
} |
|
|
249 |
], |
|
|
250 |
"source": [ |
|
|
251 |
"qc.decompose().draw(\"mpl\")" |
|
|
252 |
] |
|
|
253 |
}, |
|
|
254 |
{ |
|
|
255 |
"cell_type": "markdown", |
|
|
256 |
"metadata": {}, |
|
|
257 |
"source": [ |
|
|
258 |
"Let's print the number of trainable parameters." |
|
|
259 |
] |
|
|
260 |
}, |
|
|
261 |
{ |
|
|
262 |
"cell_type": "code", |
|
|
263 |
"execution_count": 25, |
|
|
264 |
"metadata": {}, |
|
|
265 |
"outputs": [ |
|
|
266 |
{ |
|
|
267 |
"data": { |
|
|
268 |
"text/plain": [ |
|
|
269 |
"84" |
|
|
270 |
] |
|
|
271 |
}, |
|
|
272 |
"execution_count": 25, |
|
|
273 |
"metadata": {}, |
|
|
274 |
"output_type": "execute_result" |
|
|
275 |
} |
|
|
276 |
], |
|
|
277 |
"source": [ |
|
|
278 |
"qc.num_parameters" |
|
|
279 |
] |
|
|
280 |
}, |
|
|
281 |
{ |
|
|
282 |
"cell_type": "markdown", |
|
|
283 |
"metadata": { |
|
|
284 |
"pycharm": { |
|
|
285 |
"name": "#%% md\n" |
|
|
286 |
} |
|
|
287 |
}, |
|
|
288 |
"source": [ |
|
|
289 |
"### 3.2. Definition of the quantum generator\n", |
|
|
290 |
"\n", |
|
|
291 |
"We start defining the generator by creating a sampler for the ansatz. The reference implementation is a statevector-based implementation, thus it returns exact probabilities as a result of circuit execution. We add the `shots` parameter to add some noise to the results. In this case the implementation samples probabilities from the multinomial distribution constructed from the measured quasi probabilities. And as usual we fix the seed for reproducibility purposes." |
|
|
292 |
] |
|
|
293 |
}, |
|
|
294 |
{ |
|
|
295 |
"cell_type": "code", |
|
|
296 |
"execution_count": 26, |
|
|
297 |
"metadata": {}, |
|
|
298 |
"outputs": [], |
|
|
299 |
"source": [ |
|
|
300 |
"from qiskit.primitives import Sampler\n", |
|
|
301 |
"\n", |
|
|
302 |
"shots = 10000\n", |
|
|
303 |
"sampler = Sampler(options={\"shots\": shots, \"seed\": algorithm_globals.random_seed})" |
|
|
304 |
] |
|
|
305 |
}, |
|
|
306 |
{ |
|
|
307 |
"cell_type": "markdown", |
|
|
308 |
"metadata": {}, |
|
|
309 |
"source": [ |
|
|
310 |
"Next, we define a function that creates the quantum generator from a given parameterized quantum circuit. Inside this function we create a neural network that returns the quasi probability distribution evaluated by the underlying Sampler. We fix `initial_weights` for reproducibility purposes. In the end we wrap the created quantum neural network in `TorchConnector` to make use of PyTorch-based training." |
|
|
311 |
] |
|
|
312 |
}, |
|
|
313 |
{ |
|
|
314 |
"cell_type": "code", |
|
|
315 |
"execution_count": 27, |
|
|
316 |
"metadata": { |
|
|
317 |
"pycharm": { |
|
|
318 |
"name": "#%%\n" |
|
|
319 |
} |
|
|
320 |
}, |
|
|
321 |
"outputs": [], |
|
|
322 |
"source": [ |
|
|
323 |
"from qiskit_machine_learning.connectors import TorchConnector\n", |
|
|
324 |
"from qiskit_machine_learning.neural_networks import SamplerQNN\n", |
|
|
325 |
"\n", |
|
|
326 |
"\n", |
|
|
327 |
"def create_generator() -> TorchConnector:\n", |
|
|
328 |
" qnn = SamplerQNN(\n", |
|
|
329 |
" circuit=qc,\n", |
|
|
330 |
" sampler=sampler,\n", |
|
|
331 |
" input_params=[],\n", |
|
|
332 |
" weight_params=qc.parameters,\n", |
|
|
333 |
" sparse=False,\n", |
|
|
334 |
" )\n", |
|
|
335 |
"\n", |
|
|
336 |
" initial_weights = algorithm_globals.random.random(qc.num_parameters)\n", |
|
|
337 |
" return TorchConnector(qnn, initial_weights)" |
|
|
338 |
] |
|
|
339 |
}, |
|
|
340 |
{ |
|
|
341 |
"cell_type": "markdown", |
|
|
342 |
"metadata": { |
|
|
343 |
"pycharm": { |
|
|
344 |
"name": "#%% md\n" |
|
|
345 |
} |
|
|
346 |
}, |
|
|
347 |
"source": [ |
|
|
348 |
"### 3.3. Definition of the classical discriminator\n", |
|
|
349 |
"\n", |
|
|
350 |
"Next, we define a PyTorch-based classical neural network that represents the classical discriminator. The underlying gradients can be automatically computed with PyTorch." |
|
|
351 |
] |
|
|
352 |
}, |
|
|
353 |
{ |
|
|
354 |
"cell_type": "code", |
|
|
355 |
"execution_count": 28, |
|
|
356 |
"metadata": { |
|
|
357 |
"pycharm": { |
|
|
358 |
"name": "#%%\n" |
|
|
359 |
} |
|
|
360 |
}, |
|
|
361 |
"outputs": [], |
|
|
362 |
"source": [ |
|
|
363 |
"from torch import nn\n", |
|
|
364 |
"\n", |
|
|
365 |
"\n", |
|
|
366 |
"class Discriminator(nn.Module):\n", |
|
|
367 |
" def __init__(self, input_size):\n", |
|
|
368 |
" super(Discriminator, self).__init__()\n", |
|
|
369 |
"\n", |
|
|
370 |
" self.linear_input = nn.Linear(input_size, 20)\n", |
|
|
371 |
" self.leaky_relu = nn.LeakyReLU(0.2)\n", |
|
|
372 |
" self.linear20 = nn.Linear(20, 1)\n", |
|
|
373 |
" self.sigmoid = nn.Sigmoid()\n", |
|
|
374 |
"\n", |
|
|
375 |
" def forward(self, input: torch.Tensor) -> torch.Tensor:\n", |
|
|
376 |
" x = self.linear_input(input)\n", |
|
|
377 |
" x = self.leaky_relu(x)\n", |
|
|
378 |
" x = self.linear20(x)\n", |
|
|
379 |
" x = self.sigmoid(x)\n", |
|
|
380 |
" return x" |
|
|
381 |
] |
|
|
382 |
}, |
|
|
383 |
{ |
|
|
384 |
"cell_type": "markdown", |
|
|
385 |
"metadata": {}, |
|
|
386 |
"source": [ |
|
|
387 |
"### 3.4. Create a generator and a discriminator\n", |
|
|
388 |
"\n", |
|
|
389 |
"Now we create a generator and a discriminator." |
|
|
390 |
] |
|
|
391 |
}, |
|
|
392 |
{ |
|
|
393 |
"cell_type": "code", |
|
|
394 |
"execution_count": 29, |
|
|
395 |
"metadata": {}, |
|
|
396 |
"outputs": [], |
|
|
397 |
"source": [ |
|
|
398 |
"generator = create_generator()\n", |
|
|
399 |
"discriminator = Discriminator(num_dim)" |
|
|
400 |
] |
|
|
401 |
}, |
|
|
402 |
{ |
|
|
403 |
"cell_type": "markdown", |
|
|
404 |
"metadata": { |
|
|
405 |
"pycharm": { |
|
|
406 |
"name": "#%% md\n" |
|
|
407 |
} |
|
|
408 |
}, |
|
|
409 |
"source": [ |
|
|
410 |
"## 4. Setting up the Training Loop\n", |
|
|
411 |
"In this section we set up:\n", |
|
|
412 |
"\n", |
|
|
413 |
"- A loss function for the generator and discriminator.\n", |
|
|
414 |
"- Optimizers for both.\n", |
|
|
415 |
"- A utility plotting function to visualize training process.\n", |
|
|
416 |
"\n", |
|
|
417 |
"### 4.1. Definition of the loss functions\n", |
|
|
418 |
"We want to train the generator and the discriminator with binary cross entropy as the loss function:\n", |
|
|
419 |
"$$L\\left(\\boldsymbol{\\theta}\\right)=\\sum_jp_j\\left(\\boldsymbol{\\theta}\\right)\\left[y_j\\log(x_j) + (1-y_j)\\log(1-x_j)\\right],$$\n", |
|
|
420 |
"where $x_j$ refers to a data sample and $y_j$ to the corresponding label.\n", |
|
|
421 |
"\n", |
|
|
422 |
"Since PyTorch's `binary_cross_entropy` is not differentiable with respect to weights, we implement the loss function manually to be able to evaluate gradients." |
|
|
423 |
] |
|
|
424 |
}, |
|
|
425 |
{ |
|
|
426 |
"cell_type": "code", |
|
|
427 |
"execution_count": 30, |
|
|
428 |
"metadata": { |
|
|
429 |
"pycharm": { |
|
|
430 |
"name": "#%%\n" |
|
|
431 |
} |
|
|
432 |
}, |
|
|
433 |
"outputs": [], |
|
|
434 |
"source": [ |
|
|
435 |
"def adversarial_loss(input, target, w):\n", |
|
|
436 |
" bce_loss = target * torch.log(input) + (1 - target) * torch.log(1 - input)\n", |
|
|
437 |
" weighted_loss = w * bce_loss\n", |
|
|
438 |
" total_loss = -torch.sum(weighted_loss)\n", |
|
|
439 |
" return total_loss" |
|
|
440 |
] |
|
|
441 |
}, |
|
|
442 |
{ |
|
|
443 |
"cell_type": "markdown", |
|
|
444 |
"metadata": { |
|
|
445 |
"pycharm": { |
|
|
446 |
"name": "#%% md\n" |
|
|
447 |
} |
|
|
448 |
}, |
|
|
449 |
"source": [ |
|
|
450 |
"### 4.2. Definition of the optimizers\n", |
|
|
451 |
"In order to train the generator and discriminator, we need to define optimization schemes. In the following, we employ a momentum based optimizer called Adam, see [Kingma et al., Adam: A method for stochastic optimization](https://arxiv.org/abs/1412.6980) for more details." |
|
|
452 |
] |
|
|
453 |
}, |
|
|
454 |
{ |
|
|
455 |
"cell_type": "code", |
|
|
456 |
"execution_count": 31, |
|
|
457 |
"metadata": { |
|
|
458 |
"pycharm": { |
|
|
459 |
"name": "#%%\n" |
|
|
460 |
} |
|
|
461 |
}, |
|
|
462 |
"outputs": [], |
|
|
463 |
"source": [ |
|
|
464 |
"from torch.optim import Adam\n", |
|
|
465 |
"\n", |
|
|
466 |
"lr = 0.008 # learning rate\n", |
|
|
467 |
"b1 = 0.7 # first momentum parameter\n", |
|
|
468 |
"b2 = 0.999 # second momentum parameter\n", |
|
|
469 |
"\n", |
|
|
470 |
"generator_optimizer = Adam(generator.parameters(), lr=lr, betas=(b1, b2), weight_decay=0.005)\n", |
|
|
471 |
"discriminator_optimizer = Adam(\n", |
|
|
472 |
" discriminator.parameters(), lr=lr, betas=(b1, b2), weight_decay=0.005\n", |
|
|
473 |
")" |
|
|
474 |
] |
|
|
475 |
}, |
|
|
476 |
{ |
|
|
477 |
"cell_type": "markdown", |
|
|
478 |
"metadata": { |
|
|
479 |
"pycharm": { |
|
|
480 |
"name": "#%% md\n" |
|
|
481 |
} |
|
|
482 |
}, |
|
|
483 |
"source": [ |
|
|
484 |
"### 4.3. Visualization of the training process\n", |
|
|
485 |
"We will visualize what is happening during the training by plotting the evolution of the generator's and the discriminator's loss functions during the training, as well as the progress in the relative entropy between the trained and the target distribution. We define a function that plots the loss functions and relative entropy. We call this function once an epoch of training is complete.\n", |
|
|
486 |
"\n", |
|
|
487 |
"Visualization of the training process begins when training data is collected across two epochs." |
|
|
488 |
] |
|
|
489 |
}, |
|
|
490 |
{ |
|
|
491 |
"cell_type": "code", |
|
|
492 |
"execution_count": 32, |
|
|
493 |
"metadata": { |
|
|
494 |
"pycharm": { |
|
|
495 |
"name": "#%%\n" |
|
|
496 |
} |
|
|
497 |
}, |
|
|
498 |
"outputs": [], |
|
|
499 |
"source": [ |
|
|
500 |
"from IPython.display import clear_output\n", |
|
|
501 |
"\n", |
|
|
502 |
"\n", |
|
|
503 |
"def plot_training_progress():\n", |
|
|
504 |
" # we don't plot if we don't have enough data\n", |
|
|
505 |
" if len(generator_loss_values) < 2:\n", |
|
|
506 |
" return\n", |
|
|
507 |
"\n", |
|
|
508 |
" clear_output(wait=True)\n", |
|
|
509 |
" fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(18, 9))\n", |
|
|
510 |
"\n", |
|
|
511 |
" # Generator Loss\n", |
|
|
512 |
" ax1.set_title(\"Loss\")\n", |
|
|
513 |
" ax1.plot(generator_loss_values, label=\"generator loss\", color=\"royalblue\")\n", |
|
|
514 |
" ax1.plot(discriminator_loss_values, label=\"discriminator loss\", color=\"magenta\")\n", |
|
|
515 |
" ax1.legend(loc=\"best\")\n", |
|
|
516 |
" ax1.set_xlabel(\"Iteration\")\n", |
|
|
517 |
" ax1.set_ylabel(\"Loss\")\n", |
|
|
518 |
" ax1.grid()\n", |
|
|
519 |
"\n", |
|
|
520 |
" # Relative Entropy\n", |
|
|
521 |
" ax2.set_title(\"Relative entropy\")\n", |
|
|
522 |
" ax2.plot(entropy_values)\n", |
|
|
523 |
" ax2.set_xlabel(\"Iteration\")\n", |
|
|
524 |
" ax2.set_ylabel(\"Relative entropy\")\n", |
|
|
525 |
" ax2.grid()\n", |
|
|
526 |
"\n", |
|
|
527 |
" plt.show()" |
|
|
528 |
] |
|
|
529 |
}, |
|
|
530 |
{ |
|
|
531 |
"cell_type": "markdown", |
|
|
532 |
"metadata": { |
|
|
533 |
"pycharm": { |
|
|
534 |
"name": "#%% md\n" |
|
|
535 |
} |
|
|
536 |
}, |
|
|
537 |
"source": [ |
|
|
538 |
"## 5. Model Training\n", |
|
|
539 |
"In the training loop we monitor not only loss functions, but relative entropy as well. The relative entropy describes a distance metric for distributions. Hence, we can use it to benchmark how close/far away the trained distribution is from the target distribution.\n", |
|
|
540 |
"\n", |
|
|
541 |
"Now, we are ready to train our model. It may take some time to train the model so be patient." |
|
|
542 |
] |
|
|
543 |
}, |
|
|
544 |
{ |
|
|
545 |
"cell_type": "code", |
|
|
546 |
"execution_count": 33, |
|
|
547 |
"metadata": { |
|
|
548 |
"pycharm": { |
|
|
549 |
"name": "#%%\n" |
|
|
550 |
} |
|
|
551 |
}, |
|
|
552 |
"outputs": [ |
|
|
553 |
{ |
|
|
554 |
"data": { |
|
|
555 |
"image/png": "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\n", |
|
|
556 |
"text/plain": [ |
|
|
557 |
"<Figure size 1800x900 with 2 Axes>" |
|
|
558 |
] |
|
|
559 |
}, |
|
|
560 |
"metadata": {}, |
|
|
561 |
"output_type": "display_data" |
|
|
562 |
}, |
|
|
563 |
{ |
|
|
564 |
"name": "stdout", |
|
|
565 |
"output_type": "stream", |
|
|
566 |
"text": [ |
|
|
567 |
"Fit in 229.96 sec\n" |
|
|
568 |
] |
|
|
569 |
} |
|
|
570 |
], |
|
|
571 |
"source": [ |
|
|
572 |
"import time\n", |
|
|
573 |
"from scipy.stats import multivariate_normal, entropy\n", |
|
|
574 |
"\n", |
|
|
575 |
"n_epochs = 50\n", |
|
|
576 |
"\n", |
|
|
577 |
"num_qnn_outputs = num_discrete_values**num_dim\n", |
|
|
578 |
"\n", |
|
|
579 |
"generator_loss_values = []\n", |
|
|
580 |
"discriminator_loss_values = []\n", |
|
|
581 |
"entropy_values = []\n", |
|
|
582 |
"\n", |
|
|
583 |
"start = time.time()\n", |
|
|
584 |
"for epoch in range(n_epochs):\n", |
|
|
585 |
"\n", |
|
|
586 |
" valid = torch.ones(num_qnn_outputs, 1, dtype=torch.float)\n", |
|
|
587 |
" fake = torch.zeros(num_qnn_outputs, 1, dtype=torch.float)\n", |
|
|
588 |
"\n", |
|
|
589 |
" # Configure input\n", |
|
|
590 |
" real_dist = torch.tensor(prob_data, dtype=torch.float).reshape(-1, 1)\n", |
|
|
591 |
"\n", |
|
|
592 |
" # Configure samples\n", |
|
|
593 |
" samples = torch.tensor(grid_elements, dtype=torch.float)\n", |
|
|
594 |
" disc_value = discriminator(samples)\n", |
|
|
595 |
"\n", |
|
|
596 |
" # Generate data\n", |
|
|
597 |
" gen_dist = generator(torch.tensor([])).reshape(-1, 1)\n", |
|
|
598 |
"\n", |
|
|
599 |
" # Train generator\n", |
|
|
600 |
" generator_optimizer.zero_grad()\n", |
|
|
601 |
" generator_loss = adversarial_loss(disc_value, valid, gen_dist)\n", |
|
|
602 |
"\n", |
|
|
603 |
" # store for plotting\n", |
|
|
604 |
" generator_loss_values.append(generator_loss.detach().item())\n", |
|
|
605 |
"\n", |
|
|
606 |
" generator_loss.backward(retain_graph=True)\n", |
|
|
607 |
" generator_optimizer.step()\n", |
|
|
608 |
"\n", |
|
|
609 |
" # Train Discriminator\n", |
|
|
610 |
" discriminator_optimizer.zero_grad()\n", |
|
|
611 |
"\n", |
|
|
612 |
" real_loss = adversarial_loss(disc_value, valid, real_dist)\n", |
|
|
613 |
" fake_loss = adversarial_loss(disc_value, fake, gen_dist.detach())\n", |
|
|
614 |
" discriminator_loss = (real_loss + fake_loss) / 2\n", |
|
|
615 |
"\n", |
|
|
616 |
" # Store for plotting\n", |
|
|
617 |
" discriminator_loss_values.append(discriminator_loss.detach().item())\n", |
|
|
618 |
"\n", |
|
|
619 |
" discriminator_loss.backward()\n", |
|
|
620 |
" discriminator_optimizer.step()\n", |
|
|
621 |
"\n", |
|
|
622 |
" entropy_value = entropy(gen_dist.detach().squeeze().numpy(), prob_data)\n", |
|
|
623 |
" entropy_values.append(entropy_value)\n", |
|
|
624 |
"\n", |
|
|
625 |
" plot_training_progress()\n", |
|
|
626 |
"\n", |
|
|
627 |
"elapsed = time.time() - start\n", |
|
|
628 |
"print(f\"Fit in {elapsed:0.2f} sec\")" |
|
|
629 |
] |
|
|
630 |
}, |
|
|
631 |
{ |
|
|
632 |
"cell_type": "markdown", |
|
|
633 |
"metadata": { |
|
|
634 |
"pycharm": { |
|
|
635 |
"name": "#%% md\n" |
|
|
636 |
} |
|
|
637 |
}, |
|
|
638 |
"source": [ |
|
|
639 |
"## 6. Results: Cumulative Density Functions\n", |
|
|
640 |
"In this section we compare the cumulative distribution function (CDF) of the trained distribution to the CDF of the target distribution.\n", |
|
|
641 |
"\n", |
|
|
642 |
"First, we generate a new probability distribution with PyTorch autograd turned off as we are not going to train the model anymore." |
|
|
643 |
] |
|
|
644 |
}, |
|
|
645 |
{ |
|
|
646 |
"cell_type": "code", |
|
|
647 |
"execution_count": 34, |
|
|
648 |
"metadata": {}, |
|
|
649 |
"outputs": [], |
|
|
650 |
"source": [ |
|
|
651 |
"with torch.no_grad():\n", |
|
|
652 |
" generated_probabilities = generator().numpy()" |
|
|
653 |
] |
|
|
654 |
}, |
|
|
655 |
{ |
|
|
656 |
"cell_type": "markdown", |
|
|
657 |
"metadata": {}, |
|
|
658 |
"source": [ |
|
|
659 |
"And then, we plot the cumulative distribution functions of the generated distribution, original distribution, and the difference between them. Please, be careful, the scale on the third plot **is not the same** as on the first and second plot, and the actual difference between the two plotted CDFs is pretty small." |
|
|
660 |
] |
|
|
661 |
}, |
|
|
662 |
{ |
|
|
663 |
"cell_type": "code", |
|
|
664 |
"execution_count": 35, |
|
|
665 |
"metadata": { |
|
|
666 |
"pycharm": { |
|
|
667 |
"name": "#%%\n" |
|
|
668 |
}, |
|
|
669 |
"tags": [ |
|
|
670 |
"nbsphinx-thumbnail" |
|
|
671 |
] |
|
|
672 |
}, |
|
|
673 |
"outputs": [ |
|
|
674 |
{ |
|
|
675 |
"data": { |
|
|
676 |
"image/png": "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\n", |
|
|
677 |
"text/plain": [ |
|
|
678 |
"<Figure size 1800x900 with 3 Axes>" |
|
|
679 |
] |
|
|
680 |
}, |
|
|
681 |
"metadata": {}, |
|
|
682 |
"output_type": "display_data" |
|
|
683 |
} |
|
|
684 |
], |
|
|
685 |
"source": [ |
|
|
686 |
"fig = plt.figure(figsize=(18, 9))\n", |
|
|
687 |
"\n", |
|
|
688 |
"# Generated CDF\n", |
|
|
689 |
"gen_prob_grid = np.reshape(np.cumsum(generated_probabilities), grid_shape)\n", |
|
|
690 |
"\n", |
|
|
691 |
"ax1 = fig.add_subplot(1, 3, 1, projection=\"3d\")\n", |
|
|
692 |
"ax1.set_title(\"Generated CDF\")\n", |
|
|
693 |
"ax1.plot_surface(mesh_x, mesh_y, gen_prob_grid, linewidth=0, antialiased=False, cmap=cm.coolwarm)\n", |
|
|
694 |
"ax1.set_zlim(-0.05, 1.05)\n", |
|
|
695 |
"\n", |
|
|
696 |
"# Real CDF\n", |
|
|
697 |
"real_prob_grid = np.reshape(np.cumsum(prob_data), grid_shape)\n", |
|
|
698 |
"\n", |
|
|
699 |
"ax2 = fig.add_subplot(1, 3, 2, projection=\"3d\")\n", |
|
|
700 |
"ax2.set_title(\"True CDF\")\n", |
|
|
701 |
"ax2.plot_surface(mesh_x, mesh_y, real_prob_grid, linewidth=0, antialiased=False, cmap=cm.coolwarm)\n", |
|
|
702 |
"ax2.set_zlim(-0.05, 1.05)\n", |
|
|
703 |
"\n", |
|
|
704 |
"# Difference\n", |
|
|
705 |
"ax3 = fig.add_subplot(1, 3, 3, projection=\"3d\")\n", |
|
|
706 |
"ax3.set_title(\"Difference between CDFs\")\n", |
|
|
707 |
"ax3.plot_surface(\n", |
|
|
708 |
" mesh_x, mesh_y, real_prob_grid - gen_prob_grid, linewidth=2, antialiased=False, cmap=cm.coolwarm\n", |
|
|
709 |
")\n", |
|
|
710 |
"ax3.set_zlim(-0.05, 0.1)\n", |
|
|
711 |
"plt.show()\n" |
|
|
712 |
] |
|
|
713 |
}, |
|
|
714 |
{ |
|
|
715 |
"cell_type": "markdown", |
|
|
716 |
"metadata": { |
|
|
717 |
"pycharm": { |
|
|
718 |
"name": "#%% md\n" |
|
|
719 |
} |
|
|
720 |
}, |
|
|
721 |
"source": [ |
|
|
722 |
"## 7. Conclusion\n", |
|
|
723 |
"\n", |
|
|
724 |
"Quantum generative adversarial networks employ the interplay of a generator and discriminator to map an approximate representation of a probability distribution underlying given data samples into a quantum channel. This tutorial presents a self-standing PyTorch-based qGAN implementation where the generator is given by a quantum channel, i.e., a variational quantum circuit, and the discriminator by a classical neural network, and discusses the application of efficient learning and loading of generic probability distributions into quantum states. The loading requires $\\mathscr{O}\\left(poly\\left(n\\right)\\right)$ gates and can thus enable the use of potentially advantageous quantum algorithms." |
|
|
725 |
] |
|
|
726 |
}, |
|
|
727 |
{ |
|
|
728 |
"cell_type": "code", |
|
|
729 |
"execution_count": 36, |
|
|
730 |
"metadata": { |
|
|
731 |
"pycharm": { |
|
|
732 |
"name": "#%%\n" |
|
|
733 |
}, |
|
|
734 |
"tags": [] |
|
|
735 |
}, |
|
|
736 |
"outputs": [ |
|
|
737 |
{ |
|
|
738 |
"data": { |
|
|
739 |
"text/html": [ |
|
|
740 |
"<h3>Version Information</h3><table><tr><th>Software</th><th>Version</th></tr><tr><td><code>qiskit</code></td><td>0.44.1</td></tr><tr><td><code>qiskit-terra</code></td><td>0.25.1</td></tr><tr><td><code>qiskit_machine_learning</code></td><td>0.6.1</td></tr><tr><th colspan='2'>System information</th></tr><tr><td>Python version</td><td>3.10.8</td></tr><tr><td>Python compiler</td><td>GCC 10.4.0</td></tr><tr><td>Python build</td><td>main, Nov 22 2022 08:26:04</td></tr><tr><td>OS</td><td>Linux</td></tr><tr><td>CPUs</td><td>8</td></tr><tr><td>Memory (Gb)</td><td>31.142810821533203</td></tr><tr><td colspan='2'>Wed Nov 22 06:09:04 2023 UTC</td></tr></table>" |
|
|
741 |
], |
|
|
742 |
"text/plain": [ |
|
|
743 |
"<IPython.core.display.HTML object>" |
|
|
744 |
] |
|
|
745 |
}, |
|
|
746 |
"metadata": {}, |
|
|
747 |
"output_type": "display_data" |
|
|
748 |
}, |
|
|
749 |
{ |
|
|
750 |
"data": { |
|
|
751 |
"text/html": [ |
|
|
752 |
"<div style='width: 100%; background-color:#d5d9e0;padding-left: 10px; padding-bottom: 10px; padding-right: 10px; padding-top: 5px'><h3>This code is a part of Qiskit</h3><p>© Copyright IBM 2017, 2023.</p><p>This code is licensed under the Apache License, Version 2.0. You may<br>obtain a copy of this license in the LICENSE.txt file in the root directory<br> of this source tree or at http://www.apache.org/licenses/LICENSE-2.0.<p>Any modifications or derivative works of this code must retain this<br>copyright notice, and modified files need to carry a notice indicating<br>that they have been altered from the originals.</p></div>" |
|
|
753 |
], |
|
|
754 |
"text/plain": [ |
|
|
755 |
"<IPython.core.display.HTML object>" |
|
|
756 |
] |
|
|
757 |
}, |
|
|
758 |
"metadata": {}, |
|
|
759 |
"output_type": "display_data" |
|
|
760 |
} |
|
|
761 |
], |
|
|
762 |
"source": [ |
|
|
763 |
"import qiskit.tools.jupyter\n", |
|
|
764 |
"\n", |
|
|
765 |
"%qiskit_version_table\n", |
|
|
766 |
"%qiskit_copyright" |
|
|
767 |
] |
|
|
768 |
} |
|
|
769 |
], |
|
|
770 |
"metadata": { |
|
|
771 |
"celltoolbar": "Tags", |
|
|
772 |
"kernelspec": { |
|
|
773 |
"display_name": "Python 3 (ipykernel)", |
|
|
774 |
"language": "python", |
|
|
775 |
"name": "python3" |
|
|
776 |
}, |
|
|
777 |
"language_info": { |
|
|
778 |
"codemirror_mode": { |
|
|
779 |
"name": "ipython", |
|
|
780 |
"version": 3 |
|
|
781 |
}, |
|
|
782 |
"file_extension": ".py", |
|
|
783 |
"mimetype": "text/x-python", |
|
|
784 |
"name": "python", |
|
|
785 |
"nbconvert_exporter": "python", |
|
|
786 |
"pygments_lexer": "ipython3", |
|
|
787 |
"version": "3.10.8" |
|
|
788 |
}, |
|
|
789 |
"widgets": { |
|
|
790 |
"application/vnd.jupyter.widget-state+json": { |
|
|
791 |
"state": { |
|
|
792 |
"0ac22594bc0b44d4bd19d2711576822f": { |
|
|
793 |
"model_module": "@jupyter-widgets/controls", |
|
|
794 |
"model_module_version": "2.0.0", |
|
|
795 |
"model_name": "GridBoxModel", |
|
|
796 |
"state": { |
|
|
797 |
"children": [ |
|
|
798 |
"IPY_MODEL_5e60a7ea209a445b86cada532217544f" |
|
|
799 |
], |
|
|
800 |
"layout": "IPY_MODEL_ff04c79113074cc7873d0e425831201c" |
|
|
801 |
} |
|
|
802 |
}, |
|
|
803 |
"13ce137317fb45ad85c20116061205a7": { |
|
|
804 |
"model_module": "@jupyter-widgets/base", |
|
|
805 |
"model_module_version": "2.0.0", |
|
|
806 |
"model_name": "LayoutModel", |
|
|
807 |
"state": { |
|
|
808 |
"width": "70px" |
|
|
809 |
} |
|
|
810 |
}, |
|
|
811 |
"16c1d8d5e857418db48cf5884f6c5807": { |
|
|
812 |
"model_module": "@jupyter-widgets/controls", |
|
|
813 |
"model_module_version": "2.0.0", |
|
|
814 |
"model_name": "HTMLStyleModel", |
|
|
815 |
"state": { |
|
|
816 |
"description_width": "", |
|
|
817 |
"font_size": null, |
|
|
818 |
"text_color": null |
|
|
819 |
} |
|
|
820 |
}, |
|
|
821 |
"17325168ed8849d6bf8cb28d4bef81a5": { |
|
|
822 |
"model_module": "@jupyter-widgets/controls", |
|
|
823 |
"model_module_version": "2.0.0", |
|
|
824 |
"model_name": "HTMLStyleModel", |
|
|
825 |
"state": { |
|
|
826 |
"description_width": "", |
|
|
827 |
"font_size": null, |
|
|
828 |
"text_color": null |
|
|
829 |
} |
|
|
830 |
}, |
|
|
831 |
"3dbc7d2d035049b8992fc06515355a57": { |
|
|
832 |
"model_module": "@jupyter-widgets/controls", |
|
|
833 |
"model_module_version": "2.0.0", |
|
|
834 |
"model_name": "HTMLModel", |
|
|
835 |
"state": { |
|
|
836 |
"layout": "IPY_MODEL_76ac877795504b569d3094c9a49aa839", |
|
|
837 |
"style": "IPY_MODEL_7c9d7eceb52140f78dba37963604079c", |
|
|
838 |
"value": "<h5>Job ID</h5>" |
|
|
839 |
} |
|
|
840 |
}, |
|
|
841 |
"427b782030934899a279e72ea463501c": { |
|
|
842 |
"model_module": "@jupyter-widgets/controls", |
|
|
843 |
"model_module_version": "2.0.0", |
|
|
844 |
"model_name": "HTMLModel", |
|
|
845 |
"state": { |
|
|
846 |
"layout": "IPY_MODEL_d8d211efb7b94ac69239a53921d4fe8a", |
|
|
847 |
"style": "IPY_MODEL_ea06aa715de541238b158b505e54a572", |
|
|
848 |
"value": "<h5>Backend</h5>" |
|
|
849 |
} |
|
|
850 |
}, |
|
|
851 |
"453c5657e57441208cb8534950312819": { |
|
|
852 |
"model_module": "@jupyter-widgets/controls", |
|
|
853 |
"model_module_version": "2.0.0", |
|
|
854 |
"model_name": "HTMLModel", |
|
|
855 |
"state": { |
|
|
856 |
"layout": "IPY_MODEL_84fdb68061fd46738c0818c9e251439a", |
|
|
857 |
"style": "IPY_MODEL_17325168ed8849d6bf8cb28d4bef81a5", |
|
|
858 |
"value": "<h5>Status</h5>" |
|
|
859 |
} |
|
|
860 |
}, |
|
|
861 |
"59a46ede6aa245a8bb50d762ef31ce11": { |
|
|
862 |
"model_module": "@jupyter-widgets/base", |
|
|
863 |
"model_module_version": "2.0.0", |
|
|
864 |
"model_name": "LayoutModel", |
|
|
865 |
"state": { |
|
|
866 |
"margin": "0px 0px 0px 37px", |
|
|
867 |
"width": "600px" |
|
|
868 |
} |
|
|
869 |
}, |
|
|
870 |
"5e60a7ea209a445b86cada532217544f": { |
|
|
871 |
"model_module": "@jupyter-widgets/controls", |
|
|
872 |
"model_module_version": "2.0.0", |
|
|
873 |
"model_name": "ButtonModel", |
|
|
874 |
"state": { |
|
|
875 |
"button_style": "primary", |
|
|
876 |
"description": "Clear", |
|
|
877 |
"layout": "IPY_MODEL_65d1d98490e743759a258876d6fb9a8a", |
|
|
878 |
"style": "IPY_MODEL_670a40cb97504cad97a76fc0ad266e22", |
|
|
879 |
"tooltip": null |
|
|
880 |
} |
|
|
881 |
}, |
|
|
882 |
"65d1d98490e743759a258876d6fb9a8a": { |
|
|
883 |
"model_module": "@jupyter-widgets/base", |
|
|
884 |
"model_module_version": "2.0.0", |
|
|
885 |
"model_name": "LayoutModel", |
|
|
886 |
"state": { |
|
|
887 |
"grid_area": "right", |
|
|
888 |
"padding": "0px 0px 0px 0px", |
|
|
889 |
"width": "70px" |
|
|
890 |
} |
|
|
891 |
}, |
|
|
892 |
"670a40cb97504cad97a76fc0ad266e22": { |
|
|
893 |
"model_module": "@jupyter-widgets/controls", |
|
|
894 |
"model_module_version": "2.0.0", |
|
|
895 |
"model_name": "ButtonStyleModel", |
|
|
896 |
"state": { |
|
|
897 |
"font_family": null, |
|
|
898 |
"font_size": null, |
|
|
899 |
"font_style": null, |
|
|
900 |
"font_variant": null, |
|
|
901 |
"font_weight": null, |
|
|
902 |
"text_color": null, |
|
|
903 |
"text_decoration": null |
|
|
904 |
} |
|
|
905 |
}, |
|
|
906 |
"76ac877795504b569d3094c9a49aa839": { |
|
|
907 |
"model_module": "@jupyter-widgets/base", |
|
|
908 |
"model_module_version": "2.0.0", |
|
|
909 |
"model_name": "LayoutModel", |
|
|
910 |
"state": { |
|
|
911 |
"width": "190px" |
|
|
912 |
} |
|
|
913 |
}, |
|
|
914 |
"7b645bdbec3e4414a81684029d71ef75": { |
|
|
915 |
"model_module": "@jupyter-widgets/base", |
|
|
916 |
"model_module_version": "2.0.0", |
|
|
917 |
"model_name": "LayoutModel", |
|
|
918 |
"state": {} |
|
|
919 |
}, |
|
|
920 |
"7c9d7eceb52140f78dba37963604079c": { |
|
|
921 |
"model_module": "@jupyter-widgets/controls", |
|
|
922 |
"model_module_version": "2.0.0", |
|
|
923 |
"model_name": "HTMLStyleModel", |
|
|
924 |
"state": { |
|
|
925 |
"description_width": "", |
|
|
926 |
"font_size": null, |
|
|
927 |
"text_color": null |
|
|
928 |
} |
|
|
929 |
}, |
|
|
930 |
"7f321eb28f2d468da052ed68115d9284": { |
|
|
931 |
"model_module": "@jupyter-widgets/controls", |
|
|
932 |
"model_module_version": "2.0.0", |
|
|
933 |
"model_name": "HTMLStyleModel", |
|
|
934 |
"state": { |
|
|
935 |
"description_width": "", |
|
|
936 |
"font_size": null, |
|
|
937 |
"text_color": null |
|
|
938 |
} |
|
|
939 |
}, |
|
|
940 |
"84fdb68061fd46738c0818c9e251439a": { |
|
|
941 |
"model_module": "@jupyter-widgets/base", |
|
|
942 |
"model_module_version": "2.0.0", |
|
|
943 |
"model_name": "LayoutModel", |
|
|
944 |
"state": { |
|
|
945 |
"width": "95px" |
|
|
946 |
} |
|
|
947 |
}, |
|
|
948 |
"94aea6c89d88442395caf289d0811488": { |
|
|
949 |
"model_module": "@jupyter-widgets/controls", |
|
|
950 |
"model_module_version": "2.0.0", |
|
|
951 |
"model_name": "HTMLModel", |
|
|
952 |
"state": { |
|
|
953 |
"layout": "IPY_MODEL_7b645bdbec3e4414a81684029d71ef75", |
|
|
954 |
"style": "IPY_MODEL_b0d775be75ed431faf9e06889b52a78a", |
|
|
955 |
"value": "<h5>Message</h5>" |
|
|
956 |
} |
|
|
957 |
}, |
|
|
958 |
"a7c029dda4ef441994fc1f483a7e6498": { |
|
|
959 |
"model_module": "@jupyter-widgets/controls", |
|
|
960 |
"model_module_version": "2.0.0", |
|
|
961 |
"model_name": "HBoxModel", |
|
|
962 |
"state": { |
|
|
963 |
"children": [ |
|
|
964 |
"IPY_MODEL_3dbc7d2d035049b8992fc06515355a57", |
|
|
965 |
"IPY_MODEL_427b782030934899a279e72ea463501c", |
|
|
966 |
"IPY_MODEL_453c5657e57441208cb8534950312819", |
|
|
967 |
"IPY_MODEL_b201ab86f84b4e429e1684fc99f38a87", |
|
|
968 |
"IPY_MODEL_94aea6c89d88442395caf289d0811488" |
|
|
969 |
], |
|
|
970 |
"layout": "IPY_MODEL_59a46ede6aa245a8bb50d762ef31ce11" |
|
|
971 |
} |
|
|
972 |
}, |
|
|
973 |
"b0d775be75ed431faf9e06889b52a78a": { |
|
|
974 |
"model_module": "@jupyter-widgets/controls", |
|
|
975 |
"model_module_version": "2.0.0", |
|
|
976 |
"model_name": "HTMLStyleModel", |
|
|
977 |
"state": { |
|
|
978 |
"description_width": "", |
|
|
979 |
"font_size": null, |
|
|
980 |
"text_color": null |
|
|
981 |
} |
|
|
982 |
}, |
|
|
983 |
"b201ab86f84b4e429e1684fc99f38a87": { |
|
|
984 |
"model_module": "@jupyter-widgets/controls", |
|
|
985 |
"model_module_version": "2.0.0", |
|
|
986 |
"model_name": "HTMLModel", |
|
|
987 |
"state": { |
|
|
988 |
"layout": "IPY_MODEL_13ce137317fb45ad85c20116061205a7", |
|
|
989 |
"style": "IPY_MODEL_16c1d8d5e857418db48cf5884f6c5807", |
|
|
990 |
"value": "<h5>Queue</h5>" |
|
|
991 |
} |
|
|
992 |
}, |
|
|
993 |
"c5416effee494eae85605957be9fc856": { |
|
|
994 |
"model_module": "@jupyter-widgets/controls", |
|
|
995 |
"model_module_version": "2.0.0", |
|
|
996 |
"model_name": "HTMLModel", |
|
|
997 |
"state": { |
|
|
998 |
"layout": "IPY_MODEL_f15a98ceaaf74bada7ab93af0b8f377d", |
|
|
999 |
"style": "IPY_MODEL_7f321eb28f2d468da052ed68115d9284", |
|
|
1000 |
"value": "<p style='font-family: IBM Plex Sans, Arial, Helvetica, sans-serif; font-size: 20px; font-weight: medium;'>Circuit Properties</p>" |
|
|
1001 |
} |
|
|
1002 |
}, |
|
|
1003 |
"d8d211efb7b94ac69239a53921d4fe8a": { |
|
|
1004 |
"model_module": "@jupyter-widgets/base", |
|
|
1005 |
"model_module_version": "2.0.0", |
|
|
1006 |
"model_name": "LayoutModel", |
|
|
1007 |
"state": { |
|
|
1008 |
"width": "145px" |
|
|
1009 |
} |
|
|
1010 |
}, |
|
|
1011 |
"ea06aa715de541238b158b505e54a572": { |
|
|
1012 |
"model_module": "@jupyter-widgets/controls", |
|
|
1013 |
"model_module_version": "2.0.0", |
|
|
1014 |
"model_name": "HTMLStyleModel", |
|
|
1015 |
"state": { |
|
|
1016 |
"description_width": "", |
|
|
1017 |
"font_size": null, |
|
|
1018 |
"text_color": null |
|
|
1019 |
} |
|
|
1020 |
}, |
|
|
1021 |
"f15a98ceaaf74bada7ab93af0b8f377d": { |
|
|
1022 |
"model_module": "@jupyter-widgets/base", |
|
|
1023 |
"model_module_version": "2.0.0", |
|
|
1024 |
"model_name": "LayoutModel", |
|
|
1025 |
"state": { |
|
|
1026 |
"margin": "0px 0px 10px 0px" |
|
|
1027 |
} |
|
|
1028 |
}, |
|
|
1029 |
"ff04c79113074cc7873d0e425831201c": { |
|
|
1030 |
"model_module": "@jupyter-widgets/base", |
|
|
1031 |
"model_module_version": "2.0.0", |
|
|
1032 |
"model_name": "LayoutModel", |
|
|
1033 |
"state": { |
|
|
1034 |
"grid_template_areas": "\n \". . . . right \"\n ", |
|
|
1035 |
"grid_template_columns": "20% 20% 20% 20% 20%", |
|
|
1036 |
"width": "100%" |
|
|
1037 |
} |
|
|
1038 |
} |
|
|
1039 |
}, |
|
|
1040 |
"version_major": 2, |
|
|
1041 |
"version_minor": 0 |
|
|
1042 |
} |
|
|
1043 |
} |
|
|
1044 |
}, |
|
|
1045 |
"nbformat": 4, |
|
|
1046 |
"nbformat_minor": 4 |
|
|
1047 |
} |