ArticleNature computational science2024
Provable bounds for noise-free expectation values computed from noisy samples.
Article in Nature computational science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
4 citing papers in PubMed.
- A quantum machine learning-based predictive analysis of CERN collision events.Scientific reports · 2025Article
- Quantum approximate multi-objective optimization.Nature computational science · 2025Article
- Practicality of training a quantum-classical machine in the noisy intermediate-scale quantum era.iScience · 2025Article
- Provable bounds for noise-free expectation values computed from noisy samples.Nature computational science · 2024Article
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Authors and funding
7 authors.
Funding
Abstract
Quantum computing has emerged as a powerful computational paradigm capable of solving problems beyond the reach of classical computers. However, today's quantum computers are noisy, posing challenges to obtaining accurate results. Here, we explore the impact of noise on quantum computing, focusing on the challenges in sampling bit strings from noisy quantum computers and the implications for optimization and machine learning. We formally quantify the sampling overhead to extract good samples from noisy quantum computers and relate it to the layer fidelity, a metric to determine the performance of noisy quantum processors. Further, we show how this allows us to use the conditional value at risk of noisy samples to determine provable bounds on noise-free expectation values. We discuss how to leverage these bounds for different algorithms and demonstrate our findings through experiments on real quantum computers involving up to 127 qubits. The results show strong alignment with theoretical predictions.
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Registered trials
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