Post-selection games formalise a paradox of quantum possibility

Víctor Calleja Rodríguez, Ivan A. Bocanegra-Garay, and Mateus Araújo have formally defined a long-studied quantum paradox within a new framework called “post-selection games.” This work generalizes nonlocal games by allowing a referee to discard rounds, a feature that unlocks an unbounded advantage in statistical power compared to traditional methods. The researchers demonstrate this advantage through algorithms computing local and Tsirelson bounds, and a visual comparison, featured in the accompanying image, showing improved performance even with imperfect detection equipment. This development offers a pathway to more robust analysis of Bell tests in noisy conditions.

Algorithms for Computing Bounds in Post-selection Games

Algorithms for computing local and Tsirelson bounds have been developed to analyze post-selection games, a newly formalized framework for understanding quantum nonlocality. These algorithms allow researchers to precisely define the limits of classical behavior within these games, providing a benchmark against which to measure quantum advantages. The work builds upon the formalization of Hardy’s paradox within post-selection games, transforming a specific example into a generalized, mathematically rigorous concept applicable to a wider range of scenarios.

The statistical power of post-selection games surpasses that of traditional nonlocal games, offering an unbounded advantage particularly when experimental conditions are imperfect. This improvement is visually demonstrated in the featured image, which compares the statistical power of the CHSH nonlocal game and the Hardy post-selection game as a function of detection efficiency.

The image reveals that the Hardy game maintains a higher statistical power, its ability to reliably detect quantum effects, even at lower detection efficiencies, a common limitation in real-world quantum experiments. Traditional Bell tests are highly susceptible to noise, which can obscure the subtle quantum signals needed to demonstrate nonlocality. Post-selection games circumvent this issue by allowing the discarding of rounds with noisy data, effectively “cleaning” the dataset and enhancing the clarity of the results.

The algorithms also compute the local bound, representing the maximum value achievable by any classical strategy, providing a clear distinction between classical and quantum behavior. The researchers explain that “as the resulting data is much cleaner, we need much less of it to have conclusive statistics,” highlighting the practical implications of their work. These algorithms are not limited to analyzing specific games like Hardy’s paradox. They have an unbounded advantage in statistical power over traditional nonlocal games, making them ideally suited for analysing Bell tests with low detection efficiency.

👉 More information
🗞 Post-selection games
✍️ Víctor Calleja Rodríguez, Ivan A. Bocanegra-Garay and Mateus Araújo
🧠 DOI: https://quantum-journal.org/papers/q-2026-11-05-2259/

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Ivy Delaney

Ivy Delaney has been working with neural networks and machine learning since the mid-nineties, back when a couple of hidden layers and a long afternoon of training counted as ambitious. She has watched the field go from academic curiosity to the thing quietly running underneath everything, and she brings that long view to quantum computing. For Quantum Zeitgeist she covers the ground where the two fields meet. That means quantum machine learning and the variational algorithms it leans on, and it also means the less glamorous but more interesting story of classical machine learning already doing real work inside quantum machines, decoding error-correcting codes, calibrating noisy hardware and learning the error models that simulators depend on. She writes about the hardware those algorithms have to run on too, and about the post-quantum cryptography scramble that the same hardware has set off. Her stories typically start with the paper, whether that is peer-reviewed work, conference proceedings or an arXiv preprint, with the source linked so you can hold a claim up against the research it came from. She is unimpressed by benchmarks that will not say what they beat, and by demonstrations that only work in the press release.

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