QC101 Quantum Computing & Intro to Quantum Machine Learning

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Kumaresan Ramanathan

11:50:02

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1 - Introduction

1 - Introduction.mp4

04:18

2 - How is Quantum Computing Different.mp4

02:06

2 - Quantum Physics Through Photon Polarization

3 - Introduction to Quantum Physics.html

4 - Quantum Physics Through Photon Polarization 1.mp4

02:08

5 - Quantum Physics Through Photon Polarization 2.mp4

07:43

6 - Quantum Physics Through Photon Polarization 3.mp4

02:14

7 - Quantum Physics Through Photon Polarization 4.mp4

03:14

8 - Quantum Physics Through Photon Polarization 5.mp4

02:39

9 - Quantum Physics Through Photon Polarization 6.mp4

01:33

10 - Quantum Physics Through Photon Polarization 7.mp4

03:52

11 - Quantum Physics Through Photon Polarization 8.mp4

01:40

12 - Quantum Physics Through Photon Polarization 9.mp4

01:32

13 - Quantum Physics Through Photon Polarization 10.mp4

04:07

14 - Quantum Physics Through Photon Polarization 11.mp4

01:55

15 - Quantum Physics Through Photon Polarization 12.mp4

05:05

16 - Quantum Physics Through Photon Polarization 13.mp4

01:30

17 - Quantum Physics Through Photon Polarization 14.mp4

00:45

3 - Math Foundation Complex Numbers Probability Linear Algebra & Logic

18 - Quantum Computing Through Math.html

19 - Boolean Algebra.mp4

04:43

20 - Boolean Variables and Operators.mp4

07:09

21 - Truth Tables.mp4

03:17

22 - Logic Gates.mp4

01:22

23 - Logic Circuits.mp4

00:52

24 - AND Gate.mp4

00:58

25 - OR Gate.mp4

00:51

26 - NOT Gate.mp4

01:03

27 - Multiple Input Gates.mp4

01:35

28 - Equivalent Circuits 1.mp4

01:59

29 - Equivalent Circuits 2.mp4

00:59

30 - Universal Gate NAND.mp4

02:56

31 - Exclusive OR.mp4

02:17

32 - XOR for Assignment.mp4

02:03

33 - XOR of Bit Sequences 1.mp4

02:40

34 - XOR of Bit Sequences 2.mp4

04:22

35 - Introduction to Cryptography.mp4

01:50

36 - Cryptography with XOR.mp4

02:34

37 - Shared Secret.mp4

02:35

38 - Importance of Randomness.mp4

01:25

39 - Breaking the Code.mp4

05:34

40 - Introduction to Probability.mp4

05:08

41 - Probability of a Boolean Expression.mp4

01:42

42 - Mutually Exclusive Events.mp4

03:01

43 - Independent Events.mp4

01:16

44 - Manipulating Probabilities With Algebra.mp4

02:24

45 - P Mutually Exclusive Events.mp4

00:53

46 - P Independent Events.mp4

01:17

47 - Complete Set of MutEx Events.mp4

02:00

48 - P A OR B.mp4

01:36

49 - Examples.mp4

00:51

50 - Examples.mp4

07:53

51 - P Bit Values.mp4

03:56

52 - Analysis With Venn Diagrams.mp4

01:27

53 - Venn Diagram P A AND B.mp4

00:53

54 - Venn Diagram P A OR B.mp4

01:09

55 - Venn Diagram P NOT A.mp4

00:34

56 - Examples.mp4

02:42

57 - Examples.mp4

02:35

58 - Conditional Probability.mp4

02:06

59 - Examples.mp4

01:28

60 - Introduction to Statistics.mp4

01:21

61 - Random Variables.mp4

01:33

62 - Mapping Random Variables.mp4

04:20

63 - Mean Average Expected Value.mp4

01:49

64 - Example.mp4

02:23

65 - Example.mp4

01:37

66 - Beyond Mean.mp4

01:46

67 - Standard Deviation.mp4

03:50

68 - Examples.mp4

04:15

69 - Combinations of Random Variables.mp4

02:53

70 - Correlation.mp4

02:36

71 - Analysis of Correlation.mp4

06:19

72 - Introduction to Complex Numbers.mp4

05:07

73 - Imaginary i.mp4

04:52

74 - Addition.mp4

01:54

75 - Subtraction.mp4

01:08

76 - Multiplication by a Real.mp4

00:55

77 - Division by a Real.mp4

00:41

78 - Complex Multiplication.mp4

02:30

79 - Examples.mp4

01:26

80 - Complex Conjugates.mp4

01:37

81 - Squared Magnitude.mp4

02:13

82 - Complex Division.mp4

03:01

83 - Examples.mp4

01:12

84 - Eulers Formula.mp4

02:15

85 - Polar Form.mp4

02:44

86 - Examples.mp4

02:43

87 - Fractional Powers.mp4

03:24

88 - Complex Cube Roots of 1.mp4

01:31

89 - Square Root of i.mp4

01:30

90 - 2D Coordinates.mp4

03:00

91 - Matrices.mp4

01:38

92 - Matrix Dimensions.mp4

02:13

93 - Matrix Addition.mp4

01:42

94 - Matrix Subtraction.mp4

01:12

95 - Scalar Multiplication.mp4

01:12

96 - Matrix Multiplication.mp4

07:40

97 - Examples.mp4

00:59

98 - Examples.mp4

00:41

99 - 3x3 Example.mp4

00:59

100 - Exercises.mp4

00:33

101 - More Multiplications.mp4

00:57

102 - When is Multiplication Possible.mp4

02:06

103 - Example.mp4

01:23

104 - Not Commutative.mp4

01:52

105 - Associative and Distributive.mp4

01:25

106 - Dimension of Result.mp4

02:22

107 - Odd Shaped Matrices.mp4

01:03

108 - Examples.mp4

01:01

109 - Outer Product.mp4

01:47

110 - Exercise.mp4

00:21

111 - Inner Product.mp4

01:43

112 - Exercises.mp4

00:41

113 - Identity Matrix.mp4

02:16

114 - Matrix Inverse.mp4

02:46

115 - Transpose.mp4

01:21

116 - Transpose Examples.mp4

01:00

117 - Transpose of Product.mp4

01:16

118 - Complex Conjugate of Matrices.mp4

01:19

119 - Adjoint.mp4

01:07

120 - Unitary.mp4

01:45

121 - Hermitian.mp4

01:08

122 - Hermitian and Unitary.mp4

01:37

123 - Why Hermitian or Unitary.mp4

00:57

124 - Vectors and Transformations.mp4

04:50

125 - Rotation in 2D.mp4

01:52

126 - Special Directions.mp4

03:59

127 - Eigen Vectors and Eigen Values.mp4

04:35

128 - More Eigen Vectors.mp4

02:58

129 - Computing Eigen Values.html

4 - Quantum Cryptography

130 - Photons.mp4

02:24

131 - Photon Polarization.mp4

04:10

132 - Experiments with Photon Polarization.mp4

03:26

133 - NoCloning Theorem.mp4

01:26

134 - Encoding with XOR.mp4

02:25

135 - Encryption with SingleUse SharedSecrets.mp4

01:45

136 - Encoding Data in Photon Polarization.mp4

04:54

137 - Making the Protocol Secure.mp4

04:31

138 - Exchanging Polarization Angles.mp4

01:46

139 - Why is the BB84 protocol secure.mp4

01:25

140 - Analysis.mp4

01:07

5 - Developing a Math Model for Quantum Physics

141 - Modeling Physics with Math.mp4

00:58

142 - Subtractive Probabilities Through Complex Numbers.mp4

02:17

143 - Modeling Superposition Through Matrices.mp4

00:55

144 - Overview of Math Model.mp4

00:52

6 - Quantum Physics of Spin States

145 - Introduction to Spin States.mp4

01:08

146 - Basis.mp4

02:11

147 - Column Matrix Representation of Quantum State.mp4

02:27

148 - State Vector.mp4

02:18

149 - Experiments with Spin 1.mp4

01:39

150 - Experiments with Spin 2.mp4

03:33

151 - Experiments with Spin 3.mp4

01:44

7 - Modeling Quantum Spin States with Math

152 - Analysis of Experiments 1.mp4

04:57

153 - Analysis of Experiments 2.mp4

00:47

154 - Analysis of Experiments 3.mp4

02:00

155 - Dirac BraKet Notation 1.mp4

01:44

156 - Dirac BraKet Notation 2.mp4

01:20

157 - More Experiment Analysis 1.mp4

01:21

158 - More Experiment Analysis 2.mp4

05:00

159 - On Random Behavior.mp4

02:48

8 - Reversible and Irreversible State Transformations

160 - Irreversible Transformations Measurement.mp4

01:56

161 - Reversible State Transformations.mp4

02:52

9 - MultiQubit Systems

162 - Analyzing MultiQubit Systems.mp4

02:27

10 - Entanglement

163 - Entanglement.mp4

04:24

11 - Understanding Superposition and Entanglement With Quantum Simulators

164 - Download the Simulator Code.html

164 - simulator.zip

165 - Installing Java and Running the Simulators.mp4

05:04

166 - Launching the Superposition Simulator.mp4

01:36

167 - Classical Photon.mp4

01:39

168 - Quantum Photon.mp4

02:18

169 - No Cloning.mp4

02:22

170 - No Cloning.mp4

01:56

171 - Measurement is Irreversible.mp4

00:37

172 - Deterministic vs Probabilistic.mp4

00:48

173 - Running the Simulator.mp4

04:06

174 - Superposition 1.mp4

03:34

175 - Superposition 2.mp4

02:18

176 - Measurement and Superposition.mp4

01:10

177 - Two Photon Systems.mp4

01:59

178 - Entanglement.mp4

02:04

179 - Simulating Entanglement 1.mp4

05:59

180 - Simulating Entanglement 2.mp4

03:41

181 - Simulating Entanglement 3.mp4

03:27

182 - Simulating Entanglement 4.mp4

03:22

183 - Independent Photons.mp4

02:04

184 - Effect of Measurement.mp4

03:30

185 - Summary.html

12 - Quantum Computing Model

186 - Quantum Circuits.mp4

03:29

187 - Fanout.mp4

01:40

188 - Uncomputing.mp4

01:12

189 - Reversible Gates.mp4

02:17

190 - Quantum NOT.mp4

01:59

191 - Other Single Qubit Gates.mp4

01:47

192 - CNOT Gate.mp4

02:20

193 - CCNOT Toffoli Gate.mp4

03:00

194 - Universal Gate.mp4

01:28

195 - Fredkin Gate.mp4

00:43

196 - Effects of Superposition and Entanglement on Quantum Gates.mp4

02:03

13 - Quantum Programming with Microsoft Q

197 - Q Qiskit or Cirq.html

198 - Installing Q.mp4

03:13

198 - QB4.zip

199 - Reminder.html

200 - Q Simulation Architecture.mp4

01:19

201 - Q Controller.mp4

01:04

202 - Q Execution Model.mp4

01:57

203 - Measuring Superposition States.mp4

04:03

204 - Overview of 4Qubit Simulation Framework.mp4

00:42

205 - Set Operation.mp4

02:01

206 - Iterative Measurement.mp4

04:02

207 - Verifying Output after Initialization 1.mp4

01:43

208 - Verifying Output after Initialization 2.mp4

01:37

209 - NOT Operation.mp4

01:25

210 - Superposition.mp4

01:27

211 - SWAP.mp4

01:09

212 - CNOT.mp4

00:52

213 - Significance of Superposition and Entanglement.mp4

00:56

214 - Effect of Superposition on Quantum Gates.mp4

01:49

215 - Toffoli Gate General Configuration.mp4

00:59

216 - Verifying Results.html

217 - Toffoli Configured as NOT.mp4

00:53

218 - Toffoli Configured as AND.mp4

00:40

219 - Toffoli Configured as Fanout.mp4

01:08

14 - IBM Quantum Experience

220 - IBM Quantum Note.html

221 - IBM Quantum Experience.mp4

02:06

15 - Quantum Programming and Algorithms With IBM Qiskit

222 - Qiskit Code Resources.html

222 - resources.zip

223 - What is Qiskit.mp4

02:07

224 - Installing Python and Qiskit.mp4

05:34

225 - Interactive Python.mp4

03:11

226 - Jupyter Notebooks.mp4

01:55

227 - Spyder Python IDE.mp4

01:58

228 - Variables and Assignment.mp4

04:34

229 - Data Types.mp4

02:01

230 - Operators.mp4

01:16

231 - Type Conversion.mp4

00:34

232 - Strings.mp4

02:44

233 - Lists.mp4

04:17

234 - Dictionaries.mp4

03:22

235 - Loops.mp4

07:03

236 - Decisions.mp4

00:56

237 - Functions.mp4

00:41

238 - Object Oriented Programming.mp4

01:46

239 - Exceptions.mp4

01:05

240 - Modules.mp4

02:58

241 - Quantum Circuits 1.mp4

01:57

242 - Quantum Circuits 2.mp4

01:57

243 - Quantum Circuits 3.mp4

02:21

244 - Quantum Circuits 4.mp4

02:48

245 - Quantum Circuits 5.mp4

01:19

246 - Running a Circuit.mp4

02:53

247 - Circuit Matrix.mp4

02:17

248 - Implementing BB84 Cryptography.mp4

06:45

249 - Shors Algorithm.mp4

01:53

16 - Machine Learning Foundation

250 - Introduction to Machine Learning.mp4

02:06

251 - What is AI.mp4

06:30

252 - Structure of ML Systems.mp4

05:02

253 - Learning With Models.mp4

10:24

254 - Speed Up Learning.mp4

04:58

255 - Underfit & Overfit.mp4

04:11

256 - Classification.mp4

06:05

257 - Sigmoid Models.mp4

03:03

258 - Regularization 1.mp4

05:07

259 - Regularization 2.mp4

03:49

260 - Machine Learning Libraries.mp4

04:46

261 - Machine Learning Coding.mp4

08:08

262 - MultiLayer Network 1.mp4

05:32

263 - MultiLayer Network 2.mp4

06:16

264 - Convolution 1.mp4

08:10

265 - Convolution 2.mp4

03:26

266 - Convolution 3.mp4

02:27

267 - Recurrent.mp4

04:02

17 - Quantum Machine Learning With Qiskit

268 - Quantum Machine Learning with KNN.mp4

02:41

268 - knn1.zip

269 - KNN Problem Description.mp4

05:25

270 - Code for Classical KNN.mp4

04:45

271 - Code for Quantum KNN.mp4

04:08

272 - Math for Classical KNN.mp4

04:56

273 - Math Prerequisites for Quantum KNN.mp4

02:58

274 - Math for Quantum KNN.mp4

07:38

275 - Connecting Math and Code for Classical KNN.mp4

02:38

276 - Connecting Math and Code for Quantum KNN.mp4

05:06

277 - Introduction to Classification.mp4

02:26

278 - Support Vector Machines Separation.mp4

03:45

279 - Support Vector Machines Overfitting.mp4

01:03

280 - Support Vector Machines Soft Margins.mp4

00:59

281 - Support Vector Machines Higher Dimensions and Kernels.mp4

02:05

282 - Support Vector Machines Multiple Classes.mp4

02:16

283 - Quantum Support Vector Machines.mp4

05:22

283 - qsvm.zip

284 - Significance of Quantum Machine Learning.mp4

01:06

Description

Math-Based Introduction to Quantum Computing, Cryptography & Quantum Machine Learning. Code with Python, Q#, & Qiskit

What You'll Learn?

Use quantum cryptography to communicate securely
Develop, simulate, and debug quantum programs on IBM Qiskit and Microsoft Q#
Run quantum programs on a real quantum computer through IBM Quantum Experience
Use Dirac's notation and quantum physics models to analyze quantum circuits
Train a Quantum Support Vector Machine (Quantum Machine Learning) on real-world data and use it to make predictions
Learn Data science and how quantum computing can help in artificial intelligence / machine learning
Learn why machine learning will be the killer-app for quantum computing

Who is this for?

Software professionals and technical managers who want to learn quantum computing and enjoy Math & Physics

Machine Learning and AI professionals who want to learn how quantum computing can be used in data science

More details

Description
Welcome to the bestselling quantum computing course on Udemy!
Quantum Computing is the next wave of the software industry. Quantum computers are exponentially faster than classical computers of today. Problems that were considered too difficult for computers to solve, such as simulation of protein folding in biological systems, and cracking RSA encryption, are now possible through quantum computers.
How fast are Quantum Computers? A 64-bit quantum computer can process 36 billion billion bytes of information in each step of computation. Compare that to the 8 bytes that your home computer can process in each step of computation!
Companies like Google, Intel, IBM, and Microsoft are investing billions in their quest to build quantum computers. If you master quantum computing now, you will be ready to profit from this technology revolution.
This course teaches quantum computing from the ground up. The only background you need is 12th grade level high-school Math and Physics.
IMPORTANT: You must enjoy Physics and Math to get the most out of this course. This course is primarily about analyzing the behavior of quantum circuits using Math and Quantum Physics. While everything you need to know beyond 12th grade high school science is explained here, you must be aware that Quantum Physics is an extremely difficult subject. You might frequently need to stop the video and replay the lesson to understand it.

QUANTUM MACHINE LEARNING
It appears that the killer-app for quantum computing will be machine learning and artificial intelligence.
Quantum machine learning algorithms provide a significant speed-up in training. This speed-up can result in more accurate predictions.
While understanding quantum algorithms requires mastery of complex math, usingÂ quantum machine learning is relatively simple. Qiskit encapsulates machine learning algorithms inside an API that mimics the popular Scikit-Learn machine-learning toolkit. So you can use quantum machine learning almost as easily as you would traditional ML!
Quantum machine learning can be applied in the back-end to train models, and those trained models can be used in consumer gadgets. This means that quantum machine learning might enhance your everyday life even if quantum computers remain expensive!

COURSE OUTLINE
We begin by learning about basic math. You might have forgotten the math you learned in high-school. I will review linear algebra, probability, Boolean algebra, and complex numbers.
Quantum physics is usually considered unapproachable because it deals with the behavior of extremely tiny particles. But in this course, I will explain quantum physics through the behavior of polarized light. Light is an everyday phenomenon and you will be able to understand it easily.
Next we learn about quantum cryptography. Quantum cryptography is provably unbreakable. I will explain the BB84 quantum protocol for secure key sharing.
Then we will learn about the building-blocks of quantum programs which are quantum gates.
To understand how quantum gates work, we will study quantum superposition and quantum entanglement in depth.
We will apply what we have learned by constructing quantum circuits using Microsoft Q# (QSharp) and IBM Qiskit. For those of you who don't know the Python programming language, I will provide a crisp introduction of what you need to know.
We will begin with simple circuits and then progress to a full implementation of the BB84 quantum cryptography protocol in Qiskit.
We will learn how to use Qiskit's implementation of Shor's algorithm for factoring large numbers.
The killer-app for quantum computing is quantum machine learning.
To understand quantum machine learning, we must first learn how classical machine learning works. I provide a crisp introduction to classical machine learning and neural networks (deep learning).
Finally, we will train a Quantum Support Vector Machine on real-world data and use it to make predictions.

For a better learning experience, open the transcript panel.
Â Â You will see a small "transcript" button at the bottom-right of the video player on Udemy's website. If you click this button, the transcript of the narration will be displayed. The transcripts for all the videos have been hand-edited for accuracy. Opening the transcript panel will help you understand the concepts better.
Â Â If you missed an important concept, then you can click on text in the transcript panel to return directly to the part you want to repeat. Conversely, if you already understand the concept being presented, you can click on text in the transcript panel to skip ahead in the video.

Enroll today and join the quantum revolution!
Who this course is for:
Software professionals and technical managers who want to learn quantum computing and enjoy Math & Physics
Machine Learning and AI professionals who want to learn how quantum computing can be used in data science

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I am passionate about making technology easy to understand. I have taught students at the University of Massachusetts and guided software professionals at Cadence Design Systems, iCOMS, Empirix, Relona, and Johnson & Johnson. My goal is to help you earn more than $200,000 annually as a software professional. I focus on teaching AI and Quantum Computing because these are the highest paid skills in the industry. My courses help beginners who have a basic understanding of high school Math and coding. In about 6 months you can complete several courses and become an expert earning $200+ per hour. In addition to teaching technical skills, I also help you build leadership ability. My courses discuss trade-offs between various technical choices and help you take wise decisions. As an expert software professional, you will be able to recommend solutions, suggest implementation choices, and guide software design. My courses have a 30 day money back guarantee. Check out the free video previews and enroll today. I have an electrical engineering degree from IIT and a masters degree in computer science from the University of Massachusetts. I have managed software teams and helped startups launch products in international markets. I have lived most of my professional life in the Boston area. I enjoy reading science fiction and economic theory. I am a gourmet who loves to try out interesting recipes and new restaurants with friends and family.

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