Learn Quantum Computing with Python and Q#, Video Edition

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Free Download Learn Quantum Computing with Python and Q#, Video Edition
Released 7/2021
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 9h 4m | Size: 1.36 GB
Learn Quantum Computing with Python and Q# demystifies quantum computing. Using Python and the new quantum programming language Q#, you'll build your own quantum simulator and apply quantum programming techniques to real-world examples including cryptography and chemical analysis.

About the Technology
Quantum computers present a radical leap in speed and computing power. Improved scientific simulations and new frontiers in cryptography that are impossible with classical computing may soon be in reach. Microsoft's Quantum Development Kit and the Q# language give you the tools to experiment with quantum computing without knowing advanced math or theoretical physics.
About the Book
Learn Quantum Computing with Python and Q# introduces quantum computing from a practical perspective. Use Python to build your own quantum simulator and take advantage of Microsoft's open source tools to fine-tune quantum algorithms. The authors explain complex math and theory through stories, visuals, and games. You'll learn to apply quantum to real-world applications, such as sending secret messages and solving chemistry problems.
What's Inside
The underlying mechanics of quantum computers
Simulating qubits in Python
Exploring quantum algorithms with Q#
Applying quantum computing to chemistry, arithmetic, and data
About the Reader
For software developers. No prior experience with quantum computing required.
About the Authors
Dr. Sarah Kaiser works at the Unitary Fund, a non-profit organization supporting the quantum open-source ecosystem, and is an expert in building quantum tech in the lab. Dr. Cassandra Granade works in the Quantum Systems group at Microsoft, and is an expert in characterizing quantum devices.
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1.36 GB | 00:39:02 | mp4 | 1280X720 | 16:9
Genre:eLearning |Language:English​

Files Included :

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Appendix C Linear algebra refresher (6.88 MB)
Appendix C Seeing the matrix for ourselves (45.81 MB)
Appendix D Exploring the Deutsch Jozsa algorithm by example (4.31 MB)
Appendix D Steps 3 and 4 Undo the preparation on the target qubit, and measure (7.83 MB)
Appendix D Step 1 Preparing the input state for Deutsch Jozsa (3.21 MB)
Appendix D Step 2 Applying the oracle (20.54 MB)
Chapter 1 How will we use quantum computers (33.56 MB)
Chapter 1 Summary (1.88 MB)
Chapter 1 What is a program (12.74 MB)
Chapter 1 What is a quantum computer (13.81 MB)
Chapter 1 Introducing quantum computing (18.95 MB)
Chapter 10 Going through (very small) changes (11.21 MB)
Chapter 10 Making the change we want to see in the system (8.82 MB)
Chapter 10 Many paths lead to quantum mechanics (13 MB)
Chapter 10 Putting it all together (25.06 MB)
Chapter 10 Rotating around arbitrary axes with Pauli operations (27.36 MB)
Chapter 10 Solving chemistry problems with quantum computers (17.65 MB)
Chapter 10 Summary (6.11 MB)
Chapter 10 Using Hamiltonians to describe how quantum systems evolve in time (31.02 MB)
Chapter 11 Implementing Grover s search algorithm (28.03 MB)
Chapter 11 Reflecting about states (32.83 MB)
Chapter 11 Resource estimation (20.38 MB)
Chapter 11 Searching with quantum computers (35.25 MB)
Chapter 11 Summary (4.79 MB)
Chapter 12 Arithmetic with quantum computers (26.27 MB)
Chapter 12 Classical algebra and factoring (18.41 MB)
Chapter 12 Connecting modular math to factoring (29.96 MB)
Chapter 12 Putting it all together (21.04 MB)
Chapter 12 Quantum arithmetic (30.12 MB)
Chapter 12 Summary (15.74 MB)
Chapter 2 Programming a working QRNG (21.04 MB)
Chapter 2 Qubits States and operations (90.69 MB)
Chapter 2 Qubits The building blocks (21.25 MB)
Chapter 2 Summary (2.31 MB)
Chapter 2 What are classical bits (26.28 MB)
Chapter 3 A tale of two bases (11.23 MB)
Chapter 3 Quantum key distribution BB84 (20.53 MB)
Chapter 3 Sharing secrets with quantum key distribution (31.34 MB)
Chapter 3 Summary (2.29 MB)
Chapter 3 Using a secret key to send secret messages (8.58 MB)
Chapter 4 Nonlocal games Working with multiple qubits (21.53 MB)
Chapter 4 Summary (2.06 MB)
Chapter 4 Working with multiple qubit states (38.35 MB)
Chapter 5 CHSH Quantum strategy (17.18 MB)
Chapter 5 Nonlocal games Implementing a multi-qubit simulator (43.02 MB)
Chapter 5 Summary (2.2 MB)
Chapter 6 All the single (qubit) rotations (35.28 MB)
Chapter 6 Summary (6.82 MB)
Chapter 6 Teleportation (9.41 MB)
Chapter 6 Teleportation and entanglement Moving quantum data around (31.66 MB)
Chapter 7 Changing the odds An introduction to Q (14.23 MB)
Chapter 7 Functions and operations in Q (38.16 MB)
Chapter 7 Passing operations as arguments (24.33 MB)
Chapter 7 Playing Morgana s game in Q (7.5 MB)
Chapter 7 Summary (2.66 MB)
Chapter 8 Deutsch Jozsa algorithm Moderate improvements for searching (25.08 MB)
Chapter 8 Oracles Representing classical functions in quantum algorithms (44.94 MB)
Chapter 8 Phase kickback The key to our success (18.62 MB)
Chapter 8 Reflecting on quantum algorithm techniques (18.07 MB)
Chapter 8 Simulating the Deutsch Jozsa algorithm in Q (14.84 MB)
Chapter 8 Summary (5.5 MB)
Chapter 8 What is a quantum algorithm (17.86 MB)
Chapter 9 Controlled application Turning global phases into local phases (29.14 MB)
Chapter 9 Eigenstates and local phases (20.51 MB)
Chapter 9 Implementing Lancelot s best strategy for the phase-estimation game (12.39 MB)
Chapter 9 Quantum sensing It s not just a phase (28.23 MB)
Chapter 9 Run, snake, run Running Q from Python (16.74 MB)
Chapter 9 Summary (8.37 MB)
Chapter 9 User-defined types (19.71 MB)
Part 1 Getting started with quantum (4.46 MB)
Part 2 Programming quantum algorithms in Q (4.44 MB)
Part 3 Applied quantum computing (3.48 MB)

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