Quantum Machine Learning: Where It Might Pay Off
Most quantum machine learning claims have shrunk under fair comparison. A few have not. Here is what the evidence supports, and where the payoff…
Quantum Machine Learning Explained for Developers
What quantum machine learning is, the four model families you will meet, how classical data gets into a quantum computer, and what has actually…
Where Post-Quantum Cryptography and Quantum AI Actually Meet
Four different technologies share the label 'quantum AI'. Only one of them is already breaking post-quantum implementations, and it is not the quantum one.
The DiVincenzo Criteria and What They Screen Out
David DiVincenzo's seven requirements were written to stop a specific over-claim. A quarter-century later they still screen architectures, and they still refuse to rank…
A Map of Quantum Computing Modalities
Qubit counts are not comparable across platforms. A framework that separates the computational models from the physical carriers, and identifies which numbers actually differentiate…
How Quantum Error Correction Actually Works
Bit flips, phase flips, stabilizers, thresholds and the arithmetic behind million-qubit roadmaps. A ground-up walkthrough of quantum error correction for engineers.
Supremacy, Advantage, Utility: Three Words, Three Claims
Supremacy, advantage, and utility are not synonyms. Each names a different claim with a different evidence bar, and the difference decides what an announcement…
What Quantum Computing Actually Is
The 'tries every answer at once' story is wrong, and it leads to the wrong investments. A plain account of qubits, interference, and the…
Quantum Parallelism: What “All at Once” Leaves Out
Superposition holds many states. Parallelism applies one operation to all of them. Interference decides what survives measurement, and that last step is the whole…