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# Best of Quantum Computing — 2024

1. 1  
[](/posts/computing-just-changed-forever-but-there-s-a-catch-fpxulzoos "Computing just changed forever… but there’s a catch")  
Video  
![Avatar of fireship](https://media.daily.dev/image/upload/s--75ndqrkr--/f_auto,t_logo/v1702882094/logos/fireship.jpg)Fireship · 2y  
Computing just changed forever… but there’s a catch  
Google has unveiled a new Quantum chip named Willow, capable of solving problems much faster than the world's largest supercomputer, El Capitan. Despite major advancements from both Google and China in the field of quantum computing, the technology still faces significant challenges such as high error rates and the need for extremely low operating temperatures. Quantum computers have the potential to revolutionize fields like encryption and scientific research but are not yet practical for widespread use.

2.7K  
66
2. 2  
[](/posts/the-most-underrated-tech-skills-for-2025-that-could-skyrocket-your-career--0j4af8u7b "The Most Underrated Tech Skills for 2025 (That Could Skyrocket Your Career)")  
Video  
![Avatar of tiffintech](https://media.daily.dev/image/upload/s--cw-MSz5l--/f_auto/v1724391415/logos/tiffintech)Tiff In Tech · 2y  
The Most Underrated Tech Skills for 2025 (That Could Skyrocket Your Career)  
Tech skills like edge computing, low code/no code development, quantum computing, digital ethics, and green tech are predicted to become crucial by 2025\. Edge computing processes data closer to its source, reducing latency. Low code/no code platforms democratize app development. Quantum computing leverages quantum properties for faster problem-solving. Digital ethics ensures responsible technology use, and green tech focuses on reducing the environmental impact of technology. Acquiring these skills can significantly boost career prospects.  
60
3. 3  
[](/posts/the-programming-languages-i-learned-in-my-quantum-computing-job-qkse3i5xh "The programming languages I learned in my Quantum Computing job")  
Article  
![Avatar of devto](https://media.daily.dev/image/upload/t_logo,f_auto/v1/logos/devto)DEV · 3y  
The programming languages I learned in my Quantum Computing job  
Learn about the popular coding languages used in quantum computing, such as Python, Julia, and C++. Discover resources for learning these languages and their applications in quantum computing.  
27  
2
4. 4  
[](/posts/physicists-create-the-first-fully-mechanical-qubit-cswi8c1lu "Physicists create the first fully mechanical qubit")  
Article  
![Avatar of phys](https://media.daily.dev/image/upload/t_logo,f_auto/v1/logos/c49f1b7f197849d4bb5571cf4f2be408)Phys.org · 2y  
Physicists create the first fully mechanical qubit  
Researchers at ETH Zürich have built the first fully mechanical qubit, leveraging a piezoelectric disk fixed to a sapphire base to create a durable and stable qubit. This new approach addresses the issue of short-lived virtual qubits and has shown better coherence times compared to hybrid or virtual qubits. The team plans to further test and improve these qubits with different materials and quantum gates.  
25
5. 5  
[](/posts/how-to-build-a-quantum-artificial-intelligence-model-with-python-code-examples-9oahkxyqw "How to Build a Quantum Artificial Intelligence Model – With Python Code Examples")  
Article  
![Avatar of freecodecamp](https://media.daily.dev/image/upload/t_logo,f_auto/v1628412854/logos/freecodecamp)freeCodeCamp · 2y  
How to Build a Quantum Artificial Intelligence Model – With Python Code Examples  
Machine learning, particularly deep learning, often struggles with computational efficiency due to the extensive resources required. Quantum computing offers a potential solution by using qubits that can represent multiple states simultaneously, enabling more efficient computations for certain tasks. The post explores the intersection of quantum computing and AI, provides a Python code example for solving a quantum chemistry problem, and discusses the limitations and future potential of quantum technology.  
25
6. 6  
[](/posts/qnns-the-next-chapter-in-ai-3yod5rhaa "QNNs: The Next Chapter in AI")  
Article  
![Avatar of medium_js](https://media.daily.dev/image/upload/t_logo,f_auto/v1/logos/medium)Medium · 2y  
QNNs: The Next Chapter in AI  
Quantum Neural Networks (QNNs) combine quantum computing principles with traditional neural networks to enhance computational efficiency and solve complex problems more effectively. QNNs excel in fields like cryptography, climate modeling, and pharmaceutical research by leveraging properties like superposition and entanglement. Despite challenges in developing scalable quantum hardware and effective algorithms, the potential benefits are significant. Ethical considerations such as data privacy, algorithmic transparency, and equitable access are crucial for responsible development and deployment of QNNs.  
20  
2
7. 7  
[](/posts/what-i-learned-covering-computer-science-in-2024-dkcit7422 "What I Learned Covering Computer Science in 2024")  
Article  
![Avatar of hn](https://media.daily.dev/image/upload/t_logo,f_auto/v1/logos/hn)Hacker News · 2y  
What I Learned Covering Computer Science in 2024  
Theoretical computer science, which predates modern computers, examines fundamental questions like the behavior and limits of algorithms. Recent advances in computational complexity and quantum cryptography suggest new perspectives on these topics. Noteworthy moment includes a breakthrough regarding Dijkstra’s algorithm and the discovery of the fifth 'busy beaver', showcasing ongoing discoveries in the field.  
10
8. 8  
[](/posts/how-to-build-a-quantum-ai-model-for-predicting-iris-flower-data-with-python-phdvovvqj "How to Build a Quantum AI Model for Predicting Iris Flower Data with Python")  
Article  
![Avatar of freecodecamp](https://media.daily.dev/image/upload/t_logo,f_auto/v1628412854/logos/freecodecamp)freeCodeCamp · 2y  
How to Build a Quantum AI Model for Predicting Iris Flower Data with Python  
Learn how to create a hybrid neural network that combines classical and quantum computing to predict the species of iris flowers. The post covers an introduction to AI and hybrid neural networks, details the benefits of quantum computing in AI, and provides step-by-step code for building and testing the model using Python and libraries like PennyLane and sklearn.  
10

[See all Quantum Computing archives](/tags/quantum-computing/best-of)

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