Get a certificate in Quantum Computing
from IISc and QpiAI

Course taught by IISc Professors & QpiAI Experts

Delivered by Amazon Braket

    Learn, practice and master Quantum Computing skills

    Comprehensive Curriculum

    Learn Quantum fundamentals and advanced topics such as Qubits,
    Quantum Algorithms and Protocols

    Advanced Quantum Simulator

    Generate and predict AI/ML models along with simulations on advanced Quantum circuits

    Amazon Braket

    Get hands-on experience of building Quantum algorithms on AWS servers

    QpiAI Marketplace

    Build AI models, Quantum solutions and earn by directly selling them to businesses on QpiAI Marketplace.

    Kickstart your Quantum career

    Select a course that suits your learning goals

    Quantum Computing With Amazon Braket

    Quantum Computing

    Artificial Intelligence

    AI Foundation

    Quantum Foundation with Amazon Braket

    Course Duration – 3 Months

    Explorer Access- 6 Months

    Course Overview

    • Prerequisites to learn Quantum Computing courses
    • Quantum States and Qubits
    • Quantum Algorithms
    • Quantum Protocols
    • Quantum Hardware: Superconducting Qubits
    • Foundation Quantum Projects
    AI Expert

    Quantum Expert with Amazon Braket

    Course Duration – 6 Months

    Explorer Access- 12 Months

    Course Overview

    • All of Quantum Foundation +
    • NISQ Devices
    • Quantum Algorithms for Applications
    • Quantum Hardware: Semiconducting Qubits
    • Advanced Quantum Projects with Amazon Braket Lab
    Joint AI Quantum Expert

    Joint AI & Quantum Expert with Amazon Braket

    Course Duration – 6 Months

    Explorer Access- 12 Months

    Course Overview

    • All of Quantum Expert +

    Hands-on AWS Braket
    using python notebooks

      AI Foundation

      Quantum Foundation

      Course Duration – 3 Months

      Explorer Access- 6 Months

      Course Overview

      • Prerequisites to learn Quantum Computing courses
      • Quantum States and Qubits
      • Quantum Algorithms
      • Quantum Protocols
      • Quantum Hardware: Superconducting Qubits
      AI Expert

      Quantum Expert

      Course Duration – 6 Months

      Explorer Access- 12 Months

      Course Overview

      • All of Quantum Foundation +
      • NISQ Devices
      • Quantum Algorithms for Applications
      • Quantum Hardware: Semiconducting Qubits
      Joint AI Quantum Expert

      Joint AI & Quantum Expert

      Course Duration – 6 Months

      Explorer Access- 12 Months

      Course Overview

      • All of Quantum Expert +

      Hands-on AWS Braket
      using python notebooks

        AI Foundation

        AI Foundation

        Course Duration – 3 Months

        Explorer Access- 6 Months

        Course Overview

        • Practical Hands-on Session
        • Machine Learning
        • Deep Learning
        • Reinforcement Learning
        • Practical Hands-on Session
        AI Expert

        AI Expert

        Course Duration – 6 Months

        Explorer Access- 12 Months

        Course Overview

        • All of AI Foundation +
        • Special Topics in Machine Learning
        • Advanced Topics in Deep Learning
        • Advanced Reinforcement Learning
        • Bayesian Methods in Machine Learning
        • Practical Hands-on Session
        Joint AI Quantum Expert

        AI Pro

        Course Duration – 6 Months

        Explorer Access- 12 Months

        Course Overview

        • All of AI Expert +
        • Special Topics in Machine Learning
        • Advanced Topics in Deep Learning
        • Advanced Reinforcement Learning
        • Bayesian Methods in Machine Learning
        • Practical Hands-on Session
        • 750 Hours worth of QpiAIPro access on QpiCloud with GPU Instance

          Course Curriculum

          Select Course

          Quantum Computing With AWS Braket

          Quantum Computing

          Foundation

          Course Access – 3 months Explorer Access – 6 months 24 hours of learning material

          +

            Prerequisites for Quantum Computing

            • Essential Linear Algebra
            • Basics of Quantum Mechanics
            • General Lecture on Quantum Technology
            • Essential Computer Science

          Quantum states and Qubits

            • Single qubit states and superposition
            • Single-qubit gates and measurements
            • Two-qubit states, entanglement, and Bell’s inequality
            • Two-qubit gates and observable
            • Multi-Qubit states (GHZ and W states)
            • Universal gates and quantum circuit model
            • Quantum adiabatic computation and the Ising model

          Quantum Algorithms

            • Quantum Circuits
            • Deutsch-Jozsa Algorithm
            • Bernstein-Vazirani Algorithm
            • Quantum Fourier Transform
            • Quantum Factoring: Shor’s Algorithm
            • Quantum Database Search: Grover’s Algorithm
            • Circuit Simulations on QpiAI Explorer Software

          Quantum Protocols

            • Quantum Teleportation
            • Superdense Coding
            • Simulation of QpiAI Explorer Software
            • Quantum Cryptography and Key Distribution
            • Quantum Communication and Networks
            • Guest Lecture – QKD, Communications

          Quantum Hardware: Superconducting Qubits

            • Introduction to physical qubits
            • Circuit Quantum Electrodynamics
            • Transmon and Coupled Qubits
            • Control and Readout

          Expert

          Course Access – 6 months Explorer Access – 12 months 36 hours of learning material

          +

            Prerequisites for Quantum Computing

            • Essential Linear Algebra
            • Basics of Quantum Mechanics
            • General Lecture on Quantum Technology
            • Essential Computer Science

          Quantum states and Qubits

            • Single qubit states and superposition
            • Single-qubit gates and measurements
            • Two-qubit states, entanglement, and Bell’s inequality
            • Two-qubit gates and observable
            • Multi-Qubit states (GHZ and W states)
            • Universal gates and quantum circuit model
            • Quantum adiabatic computation and the Ising model

          Quantum Algorithms

            • Quantum Circuits
            • Deutsch-Jozsa Algorithm
            • Bernstein-Vazirani Algorithm
            • Quantum Fourier Transform
            • Quantum Factoring: Shor’s Algorithm
            • Quantum Database Search: Grover’s Algorithm
            • Circuit Simulations on QpiAI Explorer Software

          Quantum Protocols

            • Quantum Teleportation
            • Superdense Coding
            • Simulation of QpiAI Explorer Software
            • Quantum Cryptography and Key Distribution
            • Quantum Communication and Networks
            • Guest Lecture – QKD, Communications

          Quantum Hardware: Superconducting Qubits

            • Introduction to physical qubits
            • Circuit Quantum Electrodynamics
            • Transmon and Coupled Qubits
            • Control and Readout

          NISQ Devices

            • Noise Models
            • Quantum Error Mitigation
            • Quantum Volume and Performance Metrics
            • Hybrid Quantum-Classical Computing

          Quantum Algorithms for Applications

            • Quantum Inspired Computing
            • Variational Quantum Algorithms
            • Variational Quantum Eigensolver
            • Quantum Approximate Optimization Algorithm
            • Quantum Machine Learning: QNNs
            • HHL Algorithm for Solving Linear Systems

          Quantum Hardware: Semiconducting Qubits

            • Introduction to physical qubits
            • Spin Physics and Quantum Dots
            • Control and Readout
            • Scalability

          Joint AI and Quantum Expert

          Course Access – 6 months Explorer Access – 12 months 80 hours of learning material

          +

          AI : Prerequisites for Artificial Intelligence

            • Linear Algebra
            • Probability Theory, Bayes Theorem and Statistics
            • Calculus and Optimization

          Machine Learning

          Supervised Learning

            • Introduction to Machine Learning, Supervised and Unsupervised techniques
            • Linear and Multiple Linear Regression, Performance Metrics, Regularization
            • Classification Models: KNN, Logistic Regression
            • Support Vector Machines; Classification Performance Metrics
            • Decision Trees, Bagging, Boosting and Ensemble Algorithms

          Unsupervised Learning

            • Dimensionality Reduction: PCA
            • Clustering: K-Means Clustering

          Deep Learning

            • Introduction to Deep Learning, Activation Functions, Feedforward Network
            • Back Propagation, Loss Functions, Hyperparameter Tuning
            • Convolutional Neural Networks (CNN)
            • CNN Architectures for Image Classification
            • Recurrent Neural Networks
            • Long Short-Term Memory Models

          Reinforcement Learning

            • Introduction to Deep Learning, Activation Functions, Feedforward Network
            • Introduction to Reinforcement Learning and Multi Armed Bandits
            • Markov Decision Processes
            • Dynamic Programming (Value and Policy Iteration)
            • Monte-Carlo Methods (On-policy and Off-Policy Algorithms)
            • Long Short-Term Memory Models

          Bonus: Practical Hands-on Session