The surface code in 15 minutes (what it is and why it matters)
A high-level primer on surface-code error correction: stabilizers, syndromes, and the meaning of “logical qubits.”
Blog
Short, practical notes on quantum computing: core ideas, algorithms, and what matters when you try to run circuits on real hardware.
How to read a quantum computing paper without getting lost
A pragmatic reading workflow: what to skim, what to verify, and which sections usually hide the real assumptions.
Shots, depth, and error: the three numbers that decide if a circuit works
A practical cost model for quantum experiments: how sampling and noise turn ‘a circuit’ into ‘a result.’
A practical checklist for evaluating “quantum advantage” claims
A no-hype framework: what to ask, what numbers matter, and how to spot apples-to-oranges comparisons.
From circuits to pulses: what quantum compilation actually does
How a high-level circuit becomes hardware instructions — and why connectivity and calibration matter.
Noise, decoherence, and why error correction is the whole game
A quick map of what goes wrong on real quantum hardware and how we fight it.
Grover’s algorithm: a tiny search speedup you can actually reason about
What Grover does, when it helps, and why the quadratic speedup is “real but not magic.”
Interference is the feature: why amplitudes (not probabilities) matter
The core trick behind quantum algorithms: phases add, cancel, and steer measurement outcomes.
Qubits 101: superposition, measurement, and what a “state” means
A practical mental model for qubits: vectors, probabilities, and why measurement isn’t just “looking.”
Notes with MDX: embedding small callouts in a quantum post
This site supports MDX, so you can mix small UI components into technical writing.
Notation & Markdown style (Quantum Brief)
A quick guide to writing quantum posts with clear notation, math, and readable structure.