Quantum Machine Learning: An Honest Scorecard
Quantum machine learning has a proven column, a conditional column, and an empty one. A three-column scorecard and five questions to ask before a…
How to Tell a Real Quantum Application From a Marketed One
Five industries have published evidence for quantum advantage. Roughly twenty do not. Three questions, asked in order, separate the two lists before any money…
How to Read a Logical Qubit Claim
Vendors report logical qubit counts that are not comparable to each other. The mechanism underneath the number, and the five properties that make two…
What Quantum Computers Actually Do Better (And What They Don’t)
Four problem families where quantum computers have a real or plausible edge, ranked by the strength of the evidence, plus a screening test for…
Four Quantum Frameworks, One Bell Pair: A Practical Comparison for Developers
The same two-qubit circuit written in Qiskit, Cirq, PennyLane and Q#, then a decision path based on what you actually intend to build.
NISQ, FTQC, FASQ: How to Read the Three Eras of Quantum Computing
One vendor announces 1,121 qubits. Another announces 48 logical qubits on 280 atoms. Three acronyms explain why those numbers cannot be compared, and what…
How to Read a Quantum Benchmark
Vendor benchmark numbers are usually accurate and rarely comparable. A field guide to what quantum volume, algorithmic qubits, XEB and CLOPS measure, and what…
QAOA for People Who Aren’t Physicists
QAOA is a loop: a quantum circuit proposes candidate answers, a classical optimizer tunes the circuit, repeat. Here is the mechanism, without the physics…
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…