Achieving high fidelity in qubit operations is crucial; the Oxford team has reached a fidelity of 99.9%, which is essential for reliable quantum computing operations.

The challenge in quantum computing lies in scaling; while achieving high fidelity with a small number of qubits is possible, creating a robust system that consistently performs well with a larger number of qubits is a significant engineering problem.

To be genuinely useful, a quantum computer needs to exceed 50 qubits, as tasks requiring fewer qubits can still be efficiently simulated by classical computers, making them less impactful.

Improving the reliability of quantum gates and reducing error rates will be crucial for scaling quantum computers and enabling them to solve more complex problems.

Quantum computing has gained significant attention recently because it's starting to work in labs, reaching a point where it can perform tasks that classical computers cannot.

The ability to perform hundreds of thousands of operations per second in quantum computing means that even a short decoherence time can be sufficient for many calculations.

The gap between the theoretical usefulness of quantum computers at around 50 qubits and the practical requirements for tasks like code-breaking, which may need thousands of qubits, highlights the current limitations in quantum computing capabilities.

The key to effective quantum computing is ensuring qubits interact as desired, rather than just focusing on increasing coherence times.

Quantum computers process information using individual photons, making them far more efficient than traditional computers, which use billions of photons per bit processed.