Field notes on running quantum tools on actual hardware. No supremacy claims, no breathless language — just what works, what doesn't, and how to think about it.
Why a circuit that gives perfect counts on a simulator returns a noisy distribution on ibm_fez — and why the conclusion still holds.
From Black-Scholes to VQE to Quantum Volume — a category-by-category tour of every tool on Quantum Gap AI.
An honest look at where quantum-classical hybrids beat purely classical pipelines today, and where the hype is still ahead of the hardware.
What a token buys, why we anchor on QPU seconds, why the simulator stays free, and how enterprise volume gets discounted.
Tunable couplers, ECR gates, calibration cadence, the actual numbers — a non-PhD tour of the chip your Quantum Gap AI jobs run on.
Variational Quantum Eigensolver from first principles, with the bond-length knob on the Quantum Gap AI VQE tool as the worked example.
QV, XEB, Mirror, and RB explained without the buzzwords — and how to use the daily calibration numbers IBM publishes to do useful comparisons.
Every tool on this site runs free on the simulator. Hardware runs cost $5 per QPU second and never expire.
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