Learn English vocabulary about quantum computing companies and industry terms: IBM Quantum, Google Sycamore, NISQ era, quantum advantage, and QML.
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The term 'NISQ era' in quantum computing stands for:
NISQ (coined by physicist John Preskill) describes today's quantum computers: they have enough qubits to be interesting but too much noise for full error correction. Most current commercial quantum hardware is NISQ.
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Google's 'Sycamore' processor made headlines in 2019 because:
Google claimed 'quantum supremacy' (later called 'quantum advantage') with Sycamore's random circuit sampling experiment. IBM disputed the timeline estimate, but it marked a landmark moment in quantum computing history.
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IBM Quantum's 'quantum volume' metric measures:
Quantum volume (QV) is IBM's single-number benchmark — a power-of-2 value where QV=128 means the system can reliably run 7-qubit circuits of depth 7. It captures both qubit count and quality.
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What is 'QML' (Quantum Machine Learning)?
QML explores using quantum computing for ML tasks — for example, using quantum kernels, variational quantum classifiers, or quantum neural networks. Whether it offers practical speedups over classical ML is still an active research question.
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D-Wave's quantum computers are primarily based on:
D-Wave pioneered quantum annealing, which is well-suited for optimization problems (finding minimum-energy configurations). It differs fundamentally from gate-model quantum computers and is not universal.