Cross-Entropy Benchmarking
IntermediateCross-Entropy Benchmarking is a statistical method that measures a quantum processor's performance by comparing its output from random circuits to the theoretically predicted, ideal output distribution.
In Plain English
Imagine testing a new set of dice to see if they're fair. You'd roll them many times and compare your real-world results to the perfect theoretical probability for each number. Cross-Entropy Benchmarking (XEB) does this for a quantum computer, running random sequences of operations and comparing the actual messy outcomes to the clean, calculated probabilities to measure overall system fidelity.
Why It Matters for Your Career
Quantum Hardware Engineers and Characterization Scientists at companies like Google and Rigetti use XEB to validate and improve processor performance. In interviews for these roles, you might be asked to explain how XEB was used to demonstrate quantum supremacy or compare it to other benchmarks like Quantum Volume.
Related Terms
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