A qubit, which represents a property of particles called "spin," can exist in a superposition of states, unlike classical objects that are either one state or another.

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.

To manage errors in quantum computing, researchers use multiple physical qubits to represent a single logical qubit, allowing for error correction without directly observing the qubits.

In quantum computing, the challenge is to keep qubits isolated to prevent decoherence, which can be achieved through various techniques, including using vacuum chambers and ion traps.

Microsoft is pursuing topological quantum computing, aiming to create qubits that can be controlled much better than current technologies, although it's still in the early stages of development. Scaling quantum technologies is challenging due to control engineering and other factors.

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

Network approaches to quantum computing enable any qubit to link with any other qubit, enhancing connectivity and power, despite the increased risk of errors if not managed correctly.

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.

The number of configurations in a quantum system grows exponentially with the number of qubits, making quantum computers potentially capable of computations beyond the reach of classical computers.