Sarah Kaiser – författare

Jumpstart your child’s curiosity with a board book that makes the wonders of neural networks simple and fun. Neural Networks for Babies uses bright illustrations and easy language to introduce young minds to the ideas behind smart technology, all designed by real scientists.Perfect for STEAM-minded parents, teachers, and anyone seeking an educational gift, this book sparks interest and confidence in discovery from the earliest years. Part of the trusted Baby University series, it turns story time into a playful journey through the basics of how machines “learn.”If you’re searching for STEAM board books or a unique educational gift, Neural Networks for Babies makes a memorable first step into the world of science and technology.

Open the door to a lifetime of curiosity! A joyful, brain-boosting first step into robotics for babies and toddlers. Unleash your toddler’s natural curiosity with a board book that goes beyond ABCs and 123s. Robotics for Babies gently introduces foundational robotics and engineering ideas – simplified for the tiniest thinkers. Written by physicist Chris Ferrie and research engineer Dr. Sarah Kaiser, this board book introduces your little one to the world of machines, movement, and imagination in a way that’s playful, visual, and developmentally spot-on. Designed for babies ages 0–3, it’s a standout tool for parents who want to combine early bonding with future-focused learning.Why parents and educators recommend Robotics for Babies:Scientifically sound, baby-friendly – Authored by experts, built for developing brainsIdeal screen-free gift for smart starts – A thoughtful pick for baby showers, birthdays, or early education libraries. STEM starter – Introduces automation, coding basics, and problem-solving through relatable imageryGrows with your child – Engaging now, meaningful later as understanding deepens

Fans of Chris Ferrie's ABCs of Biology, ABCs of Space, and ABCs of Physics will love this introduction to engineering for babies and toddlers!This alphabetical installment of the Baby University baby board book series is the perfect introduction to science for infants and toddlers. It makes a wonderful science baby gift for even the youngest engineer. Give the gift of learning to your little one at birthdays, baby showers, holidays, and beyond!A is for AmplifierB is for BatteryC is for Carnot EngineFrom amplifier to zoning, the ABCs of Engineering is a colorfully simple introduction to STEM for babies and toddlers to a new engineering concept for every letter of the alphabet. Written by two experts, each page in this engineering primer features multiple levels of text so the book grows along with your little engineer.If you're looking for the perfect STEAM book for teachers, science toys for babies, or engineer toys for kids, look no further! ABCs of Engineering offers fun early learning for your little scientist!

Learn Quantum Computing with Python and Q# demystifies quantum computing. Using Python and the new quantum programming language Q#, you’ll learn QC fundamentals as you apply quantum programming techniques to real-world examples including cryptography and chemical analysis.

 

Learn Quantum Computing with Python and Q# builds your understanding of quantum computers, using Microsoft’s Quantum Development Kit to abstract away the mathematical complexities. You’ll learn QC basics as you create your own quantum simulator in Python, then move on to using the QDK and the new Q# language for writing and running algorithms very different to those found in classical computing.

 

Key Features

·   The underlying mechanics of how quantum computers work

·   How to simulate qubits in Python

·   Q# and the Microsoft Quantum Developer Kit

·   How to apply quantum algorithms to real-world examples

 

For readers with basic programming skills and some experience of linear algebra, calculus and complex numbers.

 

About the technology

Quantum computing is the next step in computing power and scalability, with the potential to impact everything from data science to information security. Using qubits, the fundamental unit of quantum information, quantum computers can solve problems beyond the scale of classical computing. Software packages like Microsoft's Quantum Development Kit and the Q# language are now emerging to give programmers a quick path to exploring quantum development for the first time.

 

Christopher Granade completed his PhD in physics (quantum information) at the University of Waterloo’s Institute for Quantum Computing, and now works in the Quantum Architectures and Computation (QuArC) group at Microsoft. He works in developing the standard libraries for Q# and is an expert in the statistical characterization of quantum devices from classical data. Previously, Christopher helped Scott Aaronson prepare lectures into his recent book, Quantum Computing Since Democritus.

 

Sarah Kaiser completed her PhD in physics (quantum information) at the University of Waterloo’s Institute for Quantum Computing. She has spent much of her career developing new quantum hardware in the lab, from satellites to hacking quantum cryptography hardware. Communicating what is so exciting about quantum is her passion, and she loves finding new demos and tools to help enable the quantum community to grow. When not at the keyboard, she loves kayaking and writing books about engineering for kids.