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Learn Quantum Computation using Qiskit
Learn Quantum Computation using Qiskit
0. Prerequisites
0.1 Python and Jupyter Notebooks
1. Quantum States and Qubits
1.1 Introduction
1.2 The Atoms of Computation
1.3 Representing Qubit States
1.4 Single Qubit Gates
1.5 The Case for Quantum
2. Multiple Qubits and Entanglement
2.1 Introduction
2.2 Multiple Qubits and Entangled States
2.3 Phase Kickback
2.4 More Circuit Identities
2.5 Proving Universality
3. Quantum Protocols and Quantum Algorithms
3.1 Defining Quantum Circuits
3.2 Quantum Teleportation
3.3 Superdense Coding
3.4 Deutsch-Josza Algorithm
3.5 Bernstein-Vazirani Algorithm
3.6 Simon's Algorithm
3.7 Quantum Fourier Transform
3.8 Quantum Phase Estimation
3.9 Shor's Algorithm
3.10 Grover's Algorithm
3.11 Quantum Counting
3.12 Quantum Key Distribution
4. Quantum Algorithms for Applications
4.1 Applied Quantum Algorithms
4.1.1 Solving Linear Systems of Equations using HHL
4.1.2 Simulating Molecules using VQE
4.1.3 Solving combinatorial optimization problems using QAOA
4.1.4 Solving Satisfiability Problems using Grover's Algorithm
4.1.5 Hybrid quantum-classical Neural Networks with PyTorch and Qiskit
4.2 Implementations of Recent Quantum Algorithms
4.2.1 Variational Quantum Linear Solver
5. Investigating Quantum Hardware Using Quantum Circuits
5.1 Introduction to Quantum Error Correction using Repetition Codes
5.2 Measurement Error Mitigation
5.3 Randomized Benchmarking
5.4 Measuring Quantum Volume
6. Investigating Quantum Hardware Using Microwave Pulses
6.1 Calibrating Qubits with Qiskit Pulse
6.2 Accessing Higher Energy States
6.3 Introduction to Transmon Physics
6.4 Circuit Quantum Electrodynamics
7. Problem Sets & Exercises
Set 1. Classical Logic Gates with Quantum Circuits
Set 2. Basic Synthesis of Single-Qubit Gates
Set 3. Building the Best AND Gate
8. Appendix
8.1 Linear Algebra
8.2 Qiskit
9. Games & Demos
Hello Qiskit Game
Estimating Pi Using Quantum Phase Estimation Algorithm
Interactivity Index
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