Christopher Monroe: "Modular Ion Trap Quantum Networks: Going Big"

Join Christopher Monroe as he discusses the development of modular ion trap quantum networks, scalable quantum computing architectures, and the challenges and opportunities of building a large-scale quantum computer.

Key takeaways

Modularity is crucial for building a large-scale quantum computer, as it allows for scalability and reduces complexity.
Trapped ions can be more scalable than solid-state qubits due to their atomically perfect nature.
The natural way to wire trapped ions is through their Coulomb interaction, with a cost that grows exponentially with the number of qubits, but eventually saturates.
The Shore factoring algorithm is one of the hardest algorithms to implement on a large scale.
Quantum computers require modular architectures to achieve scalability, just like classical computers.
Christopher Monroe’s group has demonstrated a modular quantum computing architecture using trapped ions.
The cost of scaling up a quantum computer is driven by the overhead of wiring up qubits and the complexity of the system.
Atomic systems are more susceptible to noise than solid-state systems, making noise reduction strategies essential.
Ion trap systems can be used to implement high-fidelity quantum gates and measurement operations.
The scaling of ion trap systems is limited by the number of atoms that can be trapped and the frequency of the lasers used.
Modular quantum computing architectures can be used to implement quantum algorithms and reduce the cost of quantum computing.
The cost of qubits can be reduced by using modular architectures and reconfiguring the system to add new qubits.
Quantum computing is a revolutionary change to the fundamental rules of computing, but Moore’s law does not necessarily apply to quantum computing.

Christopher Monroe: "Modular Ion Trap Quantum Networks: Going Big"

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