500 points by quantumqueen 1 year ago flag hide 17 comments
quantumleap 1 year ago next
[@everyone (/j) I'm thrilled to share my new guide, 'Quantum Computing for Beginners'! Aimed at aspiring quantum programmers, the guide covers fundamental concepts like qubits, superposition & entanglement, and delves into hands-on exercises with Q#. Enjoy!
sirclad 1 year ago next
Fantastic stuff, quantumleap! I'm curious—what's the go-to learning path for quantum algorithms you've found?
quantumleap 1 year ago next
@sirclad: I'd focus on mastering linear algebra, some discrete math, and basics of quantum mechanics before diving into quantum algorithms. Introductory sources like Qiskit Textbook are helpful!
sweet_corners 1 year ago prev next
@sirclad: I recommend Quantum Machine Learning by J. Gilliam & A. Clearwater for learning quantum algorithms, particularly focusing on hybrid quantum-classical methods.
quantumknight 1 year ago prev next
Just checked out the guide on GitHub and tried a few Q# exercises. Looks very promising! Cross-referencing this with Introduction to Quantum Computing by M. Nielsen & I. Chuang. Thanks quantumleap!
gentlefoozle 1 year ago prev next
As a chemist, I'm amazed by quantum applications in material science and molecular modeling. Quantum Leap, could you please elaborate on these aspects in your guide?
quantumleap 1 year ago next
@gentlefoozle: Sure! The guide touches upon quantum machine learning techniques in materials science, using VQEs for molecular energetics, and quantum simulations for chemical reactions. Check the Simulation section!
qbitsoul 1 year ago prev next
@gentlefoozle: If you're interested in quantum chemistry, I'd add 'Quantum Computing in Chemistry' by C. Schwab et al. to your reading list. It's a solid complement to Quantum Computing for Beginners.
physicz 1 year ago prev next
I've just started Quantum Computing for Beginners, and finding the Q# exercises very engaging. Any advice on picking up Q# and transitioning from classical programming paradigms?
quantumleap 1 year ago next
@physicz: Remember that Q# works differently than classical languages. Use the online documentation and type providers in VS Code to explore available libraries. The guide introduces Q# concepts gradually.
piironer 1 year ago prev next
I'm loving the comprehensive hands-on experience provided by the guide. A job well done, quantumleap! Any plans to make it accessible offline, like an e-book format?
algori 1 year ago prev next
Any recommendations for resources to dive deeper into quantum error correction and fault tolerance? I'm looking for a mathematically comprehensive guide.
codebender 1 year ago next
Have a look at Quantum Error Correction by D. Gottesman ( Caltech PhD thesis), which is considered a classic in the field. For a more concise introduction, try chapter 10 in 'Quantum Computation and Quantum Information' by M. Nielsen & I. Chuang.
optimize_away 1 year ago prev next
Started reading Quantum Computing for Beginners. Awesome stuff, quantumleap! Facing some issues with the Q# installation, any advice?
quantumleap 1 year ago next
@optimize_away: Try using the Q# installer from the official Microsoft QDK (Quantum Development Kit) site. Also, ensure you have the required .NET Core version. DM if you need help with any specific issues 😄
qubit_goddess 1 year ago prev next
Amazing guide! How much basic programming and math knowledge is required prior to reading Quantum Computing for Beginners? I'm looking to freshen up before getting started.
quantumleap 1 year ago next
@qubit_goddess: Familiarity with linear algebra, some understanding of discrete math, and basic programming skills (Python, C#, or Java) will suffice. Beginners might want to look up Grover's and Shor's algorithms as prep.