6 posts
The big-picture architecture: noisy physical qubits, error-corrected logical qubits, fault-tolerant machines, and how industry roadmaps map onto all three.
What AI already does for quantum computers, what quantum might one day do for AI, and why a QPU is not a drop-in replacement for the GPUs that train AI.
Quantum computing isn't the next AI. Hardware, algorithms, investment and error correction are converging, and AI and quantum now feed each other.
CPU, GPU and QPU compared on bits, gates, memory, measurement, algorithms and errors, and why we can't simply replace CPUs with quantum processors.
How many imperfect physical qubits become one reliable logical qubit: the surface code, code distance, the threshold, decoding, and why raw qubit counts mislead.
Noise, decoherence, gate errors, measurement errors, crosstalk and environmental interference explained, plus how quantum error correction makes qubits reliable.
