Practical AI Hybrid computing with quantum processors
Nov 8, 2022
In this engaging discussion, Yonatan Cohen, the CTO of Quantum Machines, dives into the exciting realm of hybrid computing that combines classical and quantum processors. He elaborates on the unique roles of qubits versus classical bits and the transformative potential of cloud-based quantum services. The conversation also addresses how hybrid models can enhance AI, particularly in optimizing neural networks. Yonatan highlights current advancements in quantum hardware and software, as well as their implications for the future of complex computational challenges.
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Quantum Computing Basics
- Quantum computers leverage quantum mechanics to offer potentially superior computational power.
- They exploit superposition, allowing elements to exist in multiple states simultaneously, unlike classical computers.
Qubits vs. Bits
- Quantum computers use qubits, which can be in multiple states at once, enabling parallel computation.
- This contrasts with classical bits, which can only be in one state (0 or 1) at any given time.
Quantum Algorithms and their Applications
- Quantum computers excel at problems like Shor's algorithm (code breaking) and Grover's algorithm (search problems).
- Some quantum algorithms, like QAOA and VQE for optimization and chemistry, are still unproven.