• phone icon +44 7459 302492 email message icon support@uplatz.com
  • Register

BUY THIS COURSE (GBP 32 GBP 99)
4.7 (47 reviews)
( 0 Students )
 

Career Path - Quantum Computing Engineer

Explore the Future of Computation: Master Quantum Theory, Qubits, Algorithms, and Real-World Applications with Qiskit and Beyond
( add to cart )
ALL COURSES Course URL
Save 68% Offer ends on 31-Dec-2025
Course Duration: 200 hours
Preview Career Path - Quantum Computing Engineer course
  Price Match Guarantee   Full Lifetime Access     Access on any Device   Technical Support    Secure Checkout   Course Completion Certificate
bestseller
highly Rated
job- oriented
Google Drive access

Students also bought -

Completed the course? Request here for Certificate. ALL COURSES

Quantum Computing Engineer – Self-Paced Online Course

Quantum computing represents one of the most transformative advancements in modern technology, offering the potential to solve problems that are intractable for even the most powerful classical supercomputers. As industries ranging from finance to pharmaceuticals, logistics, and artificial intelligence look toward quantum solutions, the need for skilled Quantum Computing Engineers has never been greater. This comprehensive self-paced course is designed to equip you with the skills, knowledge, and hands-on experience required to enter and excel in this emerging field.

This course provides a solid foundation in quantum mechanics, algorithm development, and quantum programming. Whether you are a student, developer, engineer, or researcher, this program will take you from the fundamental concepts of quantum theory to real-world application development using industry-standard tools such as IBM Qiskit and IBM Quantum Experience. The curriculum has been carefully curated to balance theoretical understanding with practical implementation, enabling learners to build and simulate quantum circuits on actual quantum devices available via the cloud.

You will begin your learning journey with the core principles of quantum mechanics—focusing on concepts like qubits, superposition, and entanglement. These principles are fundamental to understanding how quantum computers operate and what distinguishes them from classical computing systems. From here, you will learn to model quantum states, manipulate them using quantum gates, and design complex quantum circuits using visual and code-based interfaces.

One of the major strengths of this course is its deep dive into quantum programming with Qiskit, the open-source Python-based software development kit developed by IBM. Through interactive labs, you’ll become familiar with constructing quantum circuits, performing measurements, executing programs on simulators, and even running them on real quantum hardware. The course includes hands-on modules that guide you in writing Python code to solve quantum problems using libraries such as Qiskit Terra, Qiskit Aer, and Qiskit Ignis.

In addition to programming skills, you will explore several groundbreaking quantum algorithms that demonstrate the true power of quantum computing. These include Shor’s Algorithm for integer factorization, which poses a threat to classical cryptography, and Grover’s Algorithm for unstructured search, which provides a quadratic speedup over classical approaches. Understanding and implementing these algorithms will give you a strong foundation in how quantum computers achieve computational advantages.

Beyond algorithms, the course introduces you to critical topics like quantum error correction, decoherence, and quantum gate fidelity, which are essential for developing reliable quantum applications. You’ll also explore hybrid models that combine classical and quantum computing—ideal for today's Noisy Intermediate-Scale Quantum (NISQ) era, where fully fault-tolerant quantum computers are still in development.

Another key component of the course is its coverage of real-world quantum applications. You will explore how quantum computing can revolutionize fields like optimization, machine learning, materials discovery, drug development, and secure communications through quantum cryptography. Case studies and projects included in the course are designed to simulate industry use cases, preparing you for job roles and collaborative R&D environments.

Security, data integrity, and quantum communication protocols are also discussed, helping learners understand the implications of quantum-safe encryption and post-quantum cryptographic standards. This prepares learners not only for engineering roles but also for roles in policy, cybersecurity, and future technology planning.

Every module in this course is designed to offer step-by-step instruction, real-world coding labs, and interactive assessments to reinforce learning. The use of Jupyter Notebooks, video demonstrations, and cloud-based simulators ensures that learners gain hands-on exposure to quantum development environments. You’ll build confidence in using the IBM Quantum Lab, accessing public quantum computers, and analyzing the results of quantum experiments.

By the end of this program, you will be able to design, simulate, and deploy quantum programs, interpret complex quantum states, and evaluate the suitability of quantum approaches for various problems. You’ll also be familiar with industry trends, open-source communities, and the academic and commercial ecosystems driving quantum innovation. Whether your goal is to become a Quantum Software Developer, Quantum Algorithm Researcher, or pursue a career in quantum R&D, this course provides the technical grounding and career-relevant experience to get you there.

This course is ideal for learners with a background in STEM fields—particularly physics, mathematics, computer science, or electrical engineering. However, the course is designed to be accessible to motivated beginners, with mathematical and programming concepts explained intuitively. You’ll receive lifetime access to all course materials, including updates, project files, and downloadable resources, making this a lasting resource for your quantum journey.

With the rising global demand for quantum talent, professionals completing this course will be well-positioned to work with leading organizations such as IBM, Google, Microsoft, Amazon Braket, Rigetti, Xanadu, and major research institutes and startups pushing the boundaries of quantum computing. You will also be prepared to continue your education through advanced degrees or contribute to open-source quantum initiatives shaping the future of computing.

Course/Topic 1 - Course access through Google Drive

  • Google Drive

    • 01:20

  • Google Drive

    • 01:20

Course/Topic 2 - Python Programming - all lectures

  • In this lecture session we learn about introduction to python programming for beginners and also talk about features of python programming.

    • 10:21

  • In this lecture session we learn about basic elements of python in python programming and also talk about features of elements of python.

    • 19:37

  • In this lecture session we learn about installation of python in your system and also talk about the best way of installation of python for beginners.

    • 13:18

  • In this lecture session we learn about input and output statements in python programming and also talk about features of input and output statements.

    • 24:05

  • In this lecture session we learn about data types in python programming and also talk about all the data types in python programming.

    • 23:05

  • In this lecture session we learn about operators in python and also talk about how we use operators in python programming.

    • 47:07

  • In this lecture session we learn about different types of operators in python programming and also talk about features of operators in python.

    • 29:47

  • In this lecture session we learn about type conversion in python programming and also talk about features of type conversion in python.

    • 23:39

  • In this lecture session we learn about basic programming in python programming for beginners.

    • 15:56

  • In this lecture session we learn about features of basic programming in python and also talk about the importance of programming in python.

    • 05:13

  • In this lecture session we learn about math modules in python programming and also talk about features of math modules in python.

    • 26:43

  • In this lecture session we learn about conditional statements in python and also talk about conditional statements in python programming.

    • 28:24

  • In this lecture session we talk about basic examples of conditional statements in python.

    • 19:27

  • In this lecture session we learn about greater and less then conditional statements in python programming.

    • 13:39

  • In this lecture session we learn about nested IF Else statements and also talk about features of nested IF else statements.

    • 11:04

  • In this lecture session we learn about looping in python in programming for beginners and also talk about looping in python.

    • 25:06

  • In this lecture session we learn about break and continue keywords and also talk about features of break continue keywords.

    • 20:48

  • In this lecture session we learn about prime number programs in python and also talk about functions of prime number programs in python.

    • 17:31

  • In this lecture session we learn about while loop in python programming and also talk about features of while loop in python.

    • 35:35

  • In this lecture session we learn about nested For loop in python programming and also talk about features of nested For loop.

    • 12:34

  • In this lecture session we learn about features of nested for loop in python and also talk about the importance of nested For loop in python.

    • 12:49

  • In this lecture session we learn about functions in python and also talk about different types of functions in pythons.

    • 19:28

  • In this lecture session we learn about passing arguments to functions in python programming and also talk about features of passing arguments to functions

    • 08:59

  • In this lecture session we learn about return keywords in python and also talk about features of return keywords in python.

    • 12:16

  • In this lecture session we learn about calling a function in python programming and also talk about calling a function.

    • 15:07

  • In this lecture session we learn about factors of calling a function in python programming and also talk about features of calling a function.

    • 20:17

  • In this lecture session we learn about a program to swap 2 numbers using calling a function in python programming.

    • 19:27

  • In this lecture session we learn about functions of arbitrary arguments in python programming and also talk about features of arbitrary arguments.

    • 10:34

  • In this lecture session we learn about functions keywords arguments in python programming and also talk about features of keyword arguments.

    • 06:55

  • In this lecture session we learn about functions default arguments in python programming and also talk about features of default argument.

    • 06:57

  • In this lecture session we learn about global and local variables in python programming and also talk about features of global and local variables.

    • 19:37

  • In this lecture session we learn about global and local keywords and also talk about features of global and local keywords.

    • 10:44

  • In this lecture session we learn about strings in python programming and also talk about features of string in python.

    • 17:42

  • In this lecture session we learn about string methods in python programming and also talk about features of string methods in python.

    • 21:53

  • In this lecture session we learn about string functions in python and also talk about features of strings functions in python.

    • 28:02

  • In this lecture session we learn about string indexing in python programming and also talk about features of string indexing in python programming.

    • 13:51

  • In this lecture session we learn about introduction of lists in python programming and also talk about features of introduction to lists.

    • 06:31

  • In this lecture session we learn about basics of lists python programming and also talk about features of basics of lists in python.

    • 33:09

  • In this lecture session we learn about list methods and also talk about features of list method python programming.

    • 32:43

  • In this lecture session we learn about linear search on list and also talk about features of linear search on list in brief.

    • 23:20

  • In this lecture session we learn about the biggest and smallest number of the list and also talk about features of MAX and Min in a list.

    • 14:40

  • In this lecture session we learn about the difference between 2 lists in python programming and also talk about features of 2 lists.

    • 13:22

  • In this lecture session we learn about tuples in python programming and also talk about tuples in python programming.

    • 20:19

  • In this lecture session we learn about introduction to sets in python and also talk about functions of introduction to sets in python.

    • 32:43

  • In this lecture session we learn about set operations in python programming and also talk about features of set operation in brief.

    • 26:56

  • In this lecture session we learn about set examples and also talk about features set examples.

    • 11:05

  • In this lecture session we learn about introduction to dictionaries in python programming and also talk about featured dictionaries.

    • 14:47

  • In this lecture session we learn about creating and updating dictionaries in python programming and also talk about features of creating and updating dictionaries.

    • 32:49

  • In this lecture session we learn about deleting items in a dictionary in python programming and also talk about features of deleting items in a dictionary.

    • 08:06

  • In this lecture session we learn about values and items in a dictionary in python programming and also talk about features of values and items in the dictionary.

    • 13:14

  • In this lecture session we learn about dictionary methods in python programming and also talk about features of dictionary methods.

    • 18:46

  • In this lecture session we learn about built in methods in python programming and also talk about features of built in methods in python.

    • 20:25

  • In this lecture session we learn about lambda functions and also talk about features of lambda function in python programming.

    • 15:29

  • In this lecture session we learn about file handling in python programming and also also talk about the importance of file handling in python.

    • 15:58

  • In this lecture session we learn about file handling in python programming and also talk about features of file handling in python.

    • 36:13

  • In this lecture session we learn about exception handling in python and also talk about features of exception handling in python.

    • 08:46

  • In this lecture session we learn about exception handling examples in python programming.

    • 25:04

  • In this lecture session we learn about python programs in python programming and also talk about features of python programs

    • 18:40

  • In this lecture session we learn about the program of printing odd numbers in python programming and also talk about the best way of printing.

    • 10:46

  • In this lecture session we learn about counting the number of vowels and consonants in a string and also talk about features of these programs.

    • 21:38

  • In this lecture session we learn about python programs of swapping two numbers in a list by taking indexes as parameters.

    • 14:08

  • In this lecture session we learn about bubble sort and also talk about features of bubble sort in brief.

    • 35:36

  • In this lecture session we learn about operator precedence in python and also talk about features of operator precedence in python.

    • 14:51

  • In this lecture session we learn about operator precedence in python and also talk about features of operator precedence types.

    • 11:28

  • In this lecture session we learn about recursion in python and also talk about features of recursion in python.

    • 22:15

  • In this lecture session we learn about binary search in python and also talk about features of binary search in python programming.

    • 23:18

  • In this lecture session we learn about binary search in python and also talk about the importance of binary search in python.

    • 35:04

  • In this lecture session we learn about object oriented programming and also talk about features of object oriented programming in brief.

    • 21:52

  • In this lecture session we learn about factors and types of object oriented programming in python programming.

    • 17:41

  • In this lecture session we learn about OOPS and procedural programming and also talk about features of OOPS and procedural programming in OOPS.

    • 06:36

  • In this lecture session we learn about OOPS programs in python and also talk about the importance of OOPS.

    • 27:50

  • In this lecture session we learn about inheritance in python programming and also talk about features of inheritance.

    • 37:24

  • In these lecture sessions we learn about features of object creation in python programming and also talk about object creation in python.

    • 24:10

  • In this lecture session we learn about OOPS terminology and functions and also talk about features of OOPS terminology and functions.

    • 24:41

  • In this lecture session we learn about built in class attributes and garbage collection in python programming.

    • 27:26

  • In this lecture session we learn about inheritance in python and also talk about features of inheritance in python.

    • 19:02

  • In this lecture session we learn about the importance of inheritance in python programming and also talk about functions of inheritance.

    • 29:26

  • In this lecture session we learn about programs in inheritance in python programming and also talk about features of inheritance in python.

    • 31:43

  • In this lecture session we learn about polymorphism in python programming polymorphism and also talk about polymorphism in python.

    • 24:47

  • In this lecture session we learn about features of polymorphism in python and also talk about the importance of polymorphism in python.

    • 14:01

  • In this lecture session we learn about the time module in python and also talk about features time module in python in features.

    • 36:22

  • In this lecture session we learn about the importance of time modules in python time module in python in brief.

    • 44:51

  • In this lecture session we learn about the calendar module in python programming in brief.

    • 32:04

  • In these lecture sessions we learn about calendar methods in python programming and also talk about the importance of calendar methods.

    • 37:03

  • Class 28.1 - Boolean in Python

    • 09:32

  • In this lecture session we learn about python iterators and also talk about features of python iterators in brief.

    • 09:30

  • In this lecture session we learn about python programs and summary in python programming and also talk about python programs.

    • 46:37

  • In this lecture sessions we learn about python programs and also talk about features of python programs and summary.

    • 23:27

Course/Topic 3 - Modern Communication Systems - all lectures

  • Lecture 1 - Evolution of Wireless Communication - part 1

    • 16:29

  • Lecture 2 - Evolution of Wireless Communication - part 2

    • 18:21

  • Lecture 3 - Wireless Spectrum and its Implications in 5G - part 1

    • 16:16

  • Lecture 4 - Wireless Spectrum and its Implications in 5G - part 2

    • 18:50

  • Lecture 5 - Wireless Spectrum and its Implications in 5G - part 3

    • 13:24

  • Lecture 6 - Wireless Technology - 5G and Beyond - part 1

    • 17:25

  • Lecture 7 - Wireless Technology - 5G and Beyond - part 2

    • 27:26

  • Lecture 8 - Practical - 2G - 3G - 4G - part 1

    • 37:21

  • Lecture 9 - Practical - 2G - 3G - 4G - part 2

    • 31:00

  • Lecture 10 - Practical - 2G - 3G - 4G - part 3

    • 23:14

  • Lecture 11 - Practical - 2G - 3G - 4G - part 4

    • 23:32

  • Lecture 12 - Practical - 2G - 3G - 4G - part 5

    • 16:53

  • Lecture 13 - Introduction to HSPDA

    • 16:38

  • Lecture 14 - Modulation and Antenna Systems

    • 25:05

  • Lecture 15 - Introduction to 4G LTE - part 1

    • 16:49

  • Lecture 16 - Introduction to 4G LTE - part 2

    • 17:38

  • Lecture 17 - Introduction to 4G LTE - part 3

    • 21:21

  • Lecture 18 - Cognitive Radio Networks (CRN) - part 1

    • 13:47

  • Lecture 19 - Cognitive Radio Networks (CRN) - part 2

    • 18:01

  • Lecture 20 - Cognitive Radio Networks (CRN) - part 3

    • 16:29

  • Lecture 21 - Cognitive Radio Networks (CRN) - part 4

    • 03:48

  • Lecture 22 - Indoor Radio Planning - part 1

    • 25:59

  • Lecture 23 - Indoor Radio Planning - part 2

    • 23:23

  • Lecture 24 - Indoor Radio Planning - part 3

    • 17:46

  • Lecture 25 - Distributed Antenna Systems - part 1

    • 21:26

  • Lecture 26 - Distributed Antenna Systems - part 2

    • 30:20

  • Lecture 27 - Distributed Antenna Systems - part 3

    • 30:03

  • Lecture 28 - Distributed Antenna Systems - part 4

    • 28:46

  • Lecture 29 - Distributed Antenna Systems - part 5

    • 33:11

  • Lecture 30 - Distributed Antenna Systems - part 6

    • 31:07

  • Lecture 31 - Designing Indoor DAS Solutions - part 1

    • 26:53

  • Lecture 32 - Designing Indoor DAS Solutions - part 2

    • 41:57

  • Lecture 33 - Designing Indoor DAS Solutions - part 3

    • 27:02

  • Lecture 34 - Designing Indoor DAS Solutions - part 4

    • 33:31

  • Lecture 35 - Designing Indoor DAS Solutions - part 5

    • 17:52

  • Lecture 36 - Designing Indoor DAS Solutions - part 6

    • 30:12

  • Lecture 37 - Designing Indoor DAS Solutions - part 7

    • 19:49

  • Lecture 38 - Traffic Dimensioning - part 1

    • 39:42

  • Lecture 39 - Traffic Dimensioning - part 2

    • 29:51

  • Lecture 40 - Noise - part 1

    • 27:20

  • Lecture 41 - Noise - part 2

    • 17:16

  • Lecture 42 - Noise - part 3

    • 26:49

  • Lecture 43 - The Link Budget - part 1

    • 44:49

  • Lecture 44 - The Link Budget - part 2

    • 16:40

  • Lecture 45 - Tools for Indoor Radio Planning - part 1

    • 28:11

  • Lecture 46 - Tools for Indoor Radio Planning - part 2

    • 13:53

  • Lecture 47 - Optimizing the Radio Resource

    • 18:27

  • Lecture 48 - Tunnel Radio Planning - part 1

    • 42:40

  • Lecture 49 - Tunnel Radio Planning - part 2

    • 34:30

  • Lecture 50 - Tunnel Radio Planning - part 3

    • 31:44

  • Lecture 51 - Tunnel Radio Planning - part 4

    • 22:25

  • Lecture 52 - Covering the Indoor Users from Outdoor Network - part 1

    • 23:54

  • Lecture 53 - Covering the Indoor Users from Outdoor Network - part 2

    • 31:50

  • Lecture 54 - Small Cell Indoors - part 1

    • 28:47

  • Lecture 55 - Small Cell Indoors - part 2

    • 17:00

  • Lecture 56 - Application Examples - part 1

    • 26:21

  • Lecture 57 - Application Examples - part 2

    • 26:31

  • Lecture 58 - Application Examples - part 3

    • 37:50

  • Lecture 59 - Planning Procedure

    • 31:07

  • Lecture 60 - Mobile Network Engineering - part 1

    • 27:58

  • Lecture 61 - Mobile Network Engineering - part 2

    • 33:38

  • Lecture 62 - Mobile Network Engineering - part 3

    • 24:40

  • Lecture 63 - GSM - part 1

    • 35:08

  • Lecture 64 - GSM - part 2

    • 33:07

  • Lecture 65 - GSM - part 3

    • 32:20

  • Lecture 66 - EGPRS

    • 51:04

  • Lecture 67 - Third Generation Networks - part 1

    • 37:09

  • Lecture 68 - Third Generation Networks - part 2

    • 48:07

  • Lecture 69 - Third Generation Networks - part 3

    • 45:20

  • Lecture 70 - HSPA - part 1

    • 49:58

  • Lecture 71 - HSPA - part 2

    • 35:58

  • Lecture 72 - Deep-dive into 4G LTE - part 1

    • 42:21

  • Lecture 73 - Deep-dive into 4G LTE - part 2

    • 33:14

  • Lecture 74 - Deep-dive into 4G LTE - part 3

    • 41:53

  • Lecture 75 - Deep-dive into 4G LTE - part 4

    • 36:21

  • Lecture 76 - Deep-dive into 4G LTE - part 5

    • 30:46

  • Lecture 77 - Deep-dive into 4G LTE - part 6

    • 37:06

  • Lecture 78 - LTE-A - part 1

    • 36:14

  • Lecture 79 - LTE-A - part 2

    • 25:10

  • Lecture 80 - From 5G to 6G - part 1

    • 45:45

  • Lecture 81 - From 5G to 6G - part 2

    • 36:24

  • Lecture 82 - Future of the Networks - part 1

    • 44:53

  • Lecture 83 - Future of the Networks - part 2

    • 43:04

  • Lecture 84 - Future of the Networks - part 3

    • 57:55

  • Lecture 85 - Future of the Wireless Communication with 6G

    • 31:38

  • Lecture 86 - AI and ML in 5G and 6G Era

    • 36:32

  • Lecture 87 - 6G Wireless Communication Systems - part 1

    • 38:24

  • Lecture 88 - 6G Wireless Communication Systems - part 2

    • 36:53

  • Lecture 89 - 6G Architectures and Applications and Challenges - part 1

    • 32:57

  • Lecture 90 - 6G Architectures and Applications and Challenges - part 2

    • 25:00

  • Lecture 91 - Cybersecurity in Digital Transformation Era - part 1

    • 36:08

  • Lecture 92 - Cybersecurity in Digital Transformation Era - part 2

    • 34:29

  • Lecture 93 - Network Function Virtualization (NFV) - part 1

    • 31:53

  • Lecture 94 - Network Function Virtualization (NFV) - part 2

    • 21:33

  • Lecture 95 - Network Function Virtualization (NFV) - part 3

    • 19:16

  • Lecture 96 - Network Function Virtualization (NFV) - part 4

    • 13:28

Course/Topic 4 - Digital Signal Processing (DSP) - all lectures

  • In this lecture session we learn about basic introduction of Digital signal processing and also talk about some features of digital signal processing.

    • 38:33

  • In this tutorial we learn about Digital signal processing (DSP) is the method of processing signals and data in order to enhance, modify, or analyze those signals to determine specific information content. It involves the processing of real-world signals that are converted to, and represented by, sequences of numbers.

    • 52:14

  • In this tutorial we learn about Design for testability is a design technique that makes testing a chip possible and cost-effective by adding additional circuitry to the chip.

    • 29:13

  • In this lecture session we learn that DSP is used primarily in areas of the audio signal, speech processing, RADAR, seismology, audio, SONAR, voice recognition, and some financial signals. For example, Digital Signal Processing is used for speech compression for mobile phones, as well as speech transmission for mobile phones.

    • 28:02

  • In this tutorial we learn about Digital Signal Processors (DSP) take real-world signals like voice, audio, video, temperature, pressure, or position that have been digitized and then mathematically manipulate them. A DSP is designed for performing mathematical functions like "add", "subtract", "multiply" and "divide" very quickly.

    • 29:43

  • In this lecture session we learn about A filter specifying which transactions to collect data from. Sampling specifies what subset percentage or number of transactions to collect data from. Filters and sampling work at the root (or edge) transaction level.

    • 39:42

  • In this tutorial we learn about the process of measuring the instantaneous values of continuous-time signals in a discrete form. Sample is a piece of data taken from the whole data which is continuous in the time domain.

    • 16:49

  • In this lecture session we learn about The Filter Realization Wizard is a tool for automatically implementing a digital filter. You must specify a filter, its structure, and the data types for the inputs, outputs, and computations.

    • 37:24

  • In this lecture session we learn about Filter implementation involves choosing and applying a particular filter structure to those coefficients. Only after both design and implementation have been performed can data be filtered.

    • 22:24

  • In this tutorial we learn about Reduce the sampling rate of a discrete-time signal. – Low sampling rate reduces storage and computation requirements. Interpolation – Increase the sampling rate of a discrete-time signal.

    • 15:35

  • In this lecture session we learn about Fourier transform is a transformation technique that transforms such functions which are depending on the time domain into such functions which depends on the temporal frequency domain.

    • 22:30

  • In this lecture session we learn about Digital audio compression allows the efficient storage and transmission of audio data. The various audio compression techniques offer different levels of complexity, compressed audio quality, and amount of data compression.

    • 48:03

  • In this lecture session we learn about the goal of Video and Image compression algorithms, which is to reduce this large amount of raw data to match the capacity of the network before it is transmit- ted. At the receiver the compression procedure needs to be reversed to restore the original data stream. This procedure is called decompression.

    • 21:23
Course Objectives Back to Top

This course is meticulously designed to equip learners with both a deep theoretical understanding and hands-on skills in quantum computing. By blending foundational physics with modern quantum software tools, learners will be empowered to build, simulate, and analyze quantum algorithms and circuits. Whether preparing for a role in quantum software development, research, or technology strategy, this course ensures learners develop the technical proficiency and critical thinking needed to thrive in this cutting-edge field.

By the end of this course, learners will be able to:

  • Understand quantum computing fundamentals and core quantum mechanics principles

  • Explain the behavior and mathematics of qubits, superposition, and entanglement

  • Build and simulate quantum circuits using Qiskit and IBM Quantum Lab

  • Implement major quantum algorithms like Grover’s and Shor’s

  • Utilize quantum logic gates and measurement techniques effectively

  • Develop and test quantum programs on simulators and real quantum hardware

  • Explore quantum error correction, gate fidelity, and decoherence

  • Apply quantum computing in practical fields such as optimization, cryptography, and AI

  • Design hybrid quantum-classical solutions using VQE, QAOA, and other models

  • Collaborate in open-source quantum projects and research initiatives

Course Syllabus Back to Top

Course Syllabus – Quantum Computing Engineer

Module 1: Introduction to Quantum Computing

  • What is Quantum Computing?

  • History and Evolution of Quantum Theory

  • Classical vs Quantum Computing

  • Use Cases and Applications

  • Quantum Supremacy and NISQ Era

Module 2: Foundations of Quantum Mechanics

  • Qubits and Quantum States

  • Superposition and Measurement

  • Entanglement and Quantum Correlation

  • Dirac Notation (Bra-Ket)

  • Probability Amplitudes and Interference

Module 3: Quantum Gates and Circuits

  • Quantum Logic Gates: Pauli-X, Y, Z, Hadamard, Phase, T

  • Multi-Qubit Gates: CNOT, Toffoli, SWAP

  • Building Quantum Circuits

  • Quantum Circuit Representation and Visualization

  • Circuit Simulation Basics

Module 4: Quantum Programming with Qiskit

  • Introduction to IBM Qiskit SDK

  • Installing Qiskit and Setup

  • Qiskit Terra, Aer, IBMQ, and Ignis Modules

  • Creating Quantum Circuits in Python

  • Simulating and Executing Circuits on IBM Quantum Devices

Module 5: Quantum Algorithms

  • Introduction to Quantum Algorithms

  • Deutsch-Jozsa Algorithm

  • Grover’s Search Algorithm

  • Shor’s Factoring Algorithm

  • Quantum Fourier Transform (QFT)

  • Variational Quantum Eigensolver (VQE)

Module 6: Quantum Error Correction

  • Sources of Quantum Errors

  • Qubit Decoherence and Noise

  • Quantum Error Correcting Codes (QECC)

  • Bit Flip, Phase Flip, and Shor’s Code

  • Fault-Tolerant Quantum Computation

Module 7: Hybrid Quantum-Classical Computing

  • Understanding Hybrid Architectures

  • Classical Optimization with Quantum Circuits

  • Quantum Approximate Optimization Algorithm (QAOA)

  • Variational Circuits and Machine Learning

  • Working with Qiskit Machine Learning & Optimization modules

Module 8: Quantum Cryptography and Security

  • Quantum Key Distribution (QKD)

  • BB84 and E91 Protocols

  • Post-Quantum Cryptography

  • Quantum-Safe Encryption Standards

  • Impact of Quantum on Classical Security

Module 9: Real-World Quantum Applications

  • Quantum Computing in Chemistry and Physics

  • Portfolio Optimization in Finance

  • Quantum Machine Learning (QML)

  • Drug Discovery and Material Simulation

  • Logistics and Route Optimization

Module 10: Hands-on Projects and Labs

  • Project 1: Grover’s Algorithm for Password Cracking

  • Project 2: Shor’s Algorithm Simulation

  • Project 3: Quantum Teleportation Simulation

  • Project 4: Hybrid Quantum-Classical ML Model

  • Project 5: Quantum Optimization for Logistics

Module 11: Quantum Cloud Platforms

  • Overview of Cloud Quantum Computing

  • Using IBM Quantum Lab

  • Introduction to Amazon Braket, Microsoft Azure Quantum

  • Accessing Quantum Hardware via the Cloud

  • Managing Quantum Jobs and Tokens

Module 12: Career and Certification Readiness

  • Overview of Quantum Computing Career Paths

  • Resume and Portfolio Preparation

  • Quantum Research and Open-Source Communities

  • Preparing for Quantum Computing Interviews

  • Final Assessment and Certification Guidance

Certification Back to Top

Upon successful completion of the Quantum Computing Engineer course, learners will receive a Course Completion Certificate from Uplatz, demonstrating proficiency in quantum programming, algorithm development, and simulation.

This certificate validates your ability to work with qubits, gates, and circuits using modern quantum SDKs such as Qiskit. It also reflects your understanding of quantum applications and prepares you for roles in research, development, and academia.

You can use this certification to enhance your resume, support applications for advanced degrees, or position yourself as a future-ready engineer in the quantum computing field.

 

Career & Jobs Back to Top

Quantum Computing Engineers are highly sought-after across research institutions, tech companies, national labs, and startups pioneering quantum innovation. As the industry matures, skilled professionals will play a key role in shaping the future of secure communication, optimization, AI, and more.

Career roles include:

  • Quantum Software Developer

  • Quantum Algorithm Researcher

  • Quantum Machine Learning Engineer

  • Quantum Application Developer

  • Quantum Systems Architect

  • Research Scientist – Quantum Information

  • Cloud Quantum Engineer

Companies hiring quantum engineers include IBM, Google, Microsoft, Amazon Braket, Intel, Rigetti, Xanadu, and leading academic and national research labs.

With continuous learning and contributions to open-source quantum ecosystems, you can progress into advanced roles such as Principal Quantum Scientist, Lead Developer – Quantum, or Quantum Product Manager.

Interview Questions Back to Top

  1. What is a qubit?
     A qubit is the basic unit of quantum information. Unlike a classical bit, a qubit can exist in a superposition of 0 and 1.

  2. What is superposition?
     Superposition allows qubits to be in multiple states simultaneously, enabling parallel computation.

  3. What are quantum gates?
     Quantum gates manipulate qubits through unitary transformations. Examples include Hadamard, Pauli-X, and CNOT gates.

  4. What is entanglement?
     Entanglement is a phenomenon where qubits become correlated, such that the state of one qubit depends on the state of another, even across distances.

  5. What is Qiskit?
     Qiskit is an open-source SDK developed by IBM for programming and simulating quantum computers using Python.

  6. What is quantum decoherence?
     Decoherence is the loss of quantum information due to environmental interactions, a key challenge in building stable quantum systems.

  7. What is Shor’s algorithm used for?
     Shor’s algorithm factors large integers exponentially faster than classical methods, threatening current encryption methods.

  8. What is a quantum simulator?
     A quantum simulator mimics the behavior of a quantum computer using classical hardware, useful for testing and development.

  9. What is quantum error correction?
     It involves techniques to detect and correct errors in quantum computations due to noise and decoherence.

  10. What is a hybrid quantum-classical system?
     These systems combine classical and quantum computing to solve problems more efficiently than either system alone.

 

Course Quiz Back to Top
Start Quiz
Q1. What are the payment options?
A1. We have multiple payment options: 1) Book your course on our webiste by clicking on Buy this course button on top right of this course page 2) Pay via Invoice using any credit or debit card 3) Pay to our UK or India bank account 4) If your HR or employer is making the payment, then we can send them an invoice to pay.

Q2. Will I get certificate?
A2. Yes, you will receive course completion certificate from Uplatz confirming that you have completed this course with Uplatz. Once you complete your learning please submit this for to request for your certificate https://training.uplatz.com/certificate-request.php

Q3. How long is the course access?
A3. All our video courses comes with lifetime access. Once you purchase a video course with Uplatz you have lifetime access to the course i.e. forever. You can access your course any time via our website and/or mobile app and learn at your own convenience.

Q4. Are the videos downloadable?
A4. Video courses cannot be downloaded, but you have lifetime access to any video course you purchase on our website. You will be able to play the videos on our our website and mobile app.

Q5. Do you take exam? Do I need to pass exam? How to book exam?
A5. We do not take exam as part of the our training programs whether it is video course or live online class. These courses are professional courses and are offered to upskill and move on in the career ladder. However if there is an associated exam to the subject you are learning with us then you need to contact the relevant examination authority for booking your exam.

Q6. Can I get study material with the course?
A6. The study material might or might not be available for this course. Please note that though we strive to provide you the best materials but we cannot guarantee the exact study material that is mentioned anywhere within the lecture videos. Please submit study material request using the form https://training.uplatz.com/study-material-request.php

Q7. What is your refund policy?
A7. Please refer to our Refund policy mentioned on our website, here is the link to Uplatz refund policy https://training.uplatz.com/refund-and-cancellation-policy.php

Q8. Do you provide any discounts?
A8. We run promotions and discounts from time to time, we suggest you to register on our website so you can receive our emails related to promotions and offers.

Q9. What are overview courses?
A9. Overview courses are 1-2 hours short to help you decide if you want to go for the full course on that particular subject. Uplatz overview courses are either free or minimally charged such as GBP 1 / USD 2 / EUR 2 / INR 100

Q10. What are individual courses?
A10. Individual courses are simply our video courses available on Uplatz website and app across more than 300 technologies. Each course varies in duration from 5 hours uptop 150 hours. Check all our courses here https://training.uplatz.com/online-it-courses.php?search=individual

Q11. What are bundle courses?
A11. Bundle courses offered by Uplatz are combo of 2 or more video courses. We have Bundle up the similar technologies together in Bundles so offer you better value in pricing and give you an enhaced learning experience. Check all Bundle courses here https://training.uplatz.com/online-it-courses.php?search=bundle

Q12. What are Career Path programs?
A12. Career Path programs are our comprehensive learning package of video course. These are combined in a way by keeping in mind the career you would like to aim after doing career path program. Career path programs ranges from 100 hours to 600 hours and covers wide variety of courses for you to become an expert on those technologies. Check all Career Path Programs here https://training.uplatz.com/online-it-courses.php?career_path_courses=done

Q13. What are Learning Path programs?
A13. Learning Path programs are dedicated courses designed by SAP professionals to start and enhance their career in an SAP domain. It covers from basic to advance level of all courses across each business function. These programs are available across SAP finance, SAP Logistics, SAP HR, SAP succcessfactors, SAP Technical, SAP Sales, SAP S/4HANA and many more Check all Learning path here https://training.uplatz.com/online-it-courses.php?learning_path_courses=done

Q14. What are Premium Career tracks?
A14. Premium Career tracks are programs consisting of video courses that lead to skills required by C-suite executives such as CEO, CTO, CFO, and so on. These programs will help you gain knowledge and acumen to become a senior management executive.

Q15. How unlimited subscription works?
A15. Uplatz offers 2 types of unlimited subscription, Monthly and Yearly. Our monthly subscription give you unlimited access to our more than 300 video courses with 6000 hours of learning content. The plan renews each month. Minimum committment is for 1 year, you can cancel anytime after 1 year of enrolment. Our yearly subscription gives you unlimited access to our more than 300 video courses with 6000 hours of learning content. The plan renews every year. Minimum committment is for 1 year, you can cancel the plan anytime after 1 year. Check our monthly and yearly subscription here https://training.uplatz.com/online-it-courses.php?search=subscription

Q16. Do you provide software access with video course?
A16. Software access can be purchased seperately at an additional cost. The cost varies from course to course but is generally in between GBP 20 to GBP 40 per month.

Q17. Does your course guarantee a job?
A17. Our course is designed to provide you with a solid foundation in the subject and equip you with valuable skills. While the course is a significant step toward your career goals, its important to note that the job market can vary, and some positions might require additional certifications or experience. Remember that the job landscape is constantly evolving. We encourage you to continue learning and stay updated on industry trends even after completing the course. Many successful professionals combine formal education with ongoing self-improvement to excel in their careers. We are here to support you in your journey!

Q18. Do you provide placement services?
A18. While our course is designed to provide you with a comprehensive understanding of the subject, we currently do not offer placement services as part of the course package. Our main focus is on delivering high-quality education and equipping you with essential skills in this field. However, we understand that finding job opportunities is a crucial aspect of your career journey. We recommend exploring various avenues to enhance your job search:
a) Career Counseling: Seek guidance from career counselors who can provide personalized advice and help you tailor your job search strategy.
b) Networking: Attend industry events, workshops, and conferences to build connections with professionals in your field. Networking can often lead to job referrals and valuable insights.
c) Online Professional Network: Leverage platforms like LinkedIn, a reputable online professional network, to explore job opportunities that resonate with your skills and interests.
d) Online Job Platforms: Investigate prominent online job platforms in your region and submit applications for suitable positions considering both your prior experience and the newly acquired knowledge. e.g in UK the major job platforms are Reed, Indeed, CV library, Total Jobs, Linkedin.
While we may not offer placement services, we are here to support you in other ways. If you have any questions about the industry, job search strategies, or interview preparation, please dont hesitate to reach out. Remember that taking an active role in your job search process can lead to valuable experiences and opportunities.

Q19. How do I enrol in Uplatz video courses?
A19. To enroll, click on "Buy This Course," You will see this option at the top of the page.
a) Choose your payment method.
b) Stripe for any Credit or debit card from anywhere in the world.
c) PayPal for payments via PayPal account.
d) Choose PayUmoney if you are based in India.
e) Start learning: After payment, your course will be added to your profile in the student dashboard under "Video Courses".

Q20. How do I access my course after payment?
A20. Once you have made the payment on our website, you can access your course by clicking on the "My Courses" option in the main menu or by navigating to your profile, then the student dashboard, and finally selecting "Video Courses".

Q21. Can I get help from a tutor if I have doubts while learning from a video course?
A21. Tutor support is not available for our video course. If you believe you require assistance from a tutor, we recommend considering our live class option. Please contact our team for the most up-to-date availability. The pricing for live classes typically begins at USD 999 and may vary.
Back to Top



BUY THIS COURSE (GBP 32 GBP 99)