Challenging local realism with human choices
The BIG Bell Test Collaboration, C. Abell\'an, A. Ac\'in, A., Alarc\'on, O. Alibart, C. K. Andersen, F. Andreoli, A. Beckert, F. A., Beduini, A. Bendersky, M. Bentivegna, P. Bierhorst, D. Burchardt, A. Cabello,, J. Cari\~ne, S. Carrasco, G. Carvacho, D. Cavalcanti, R. Chaves, J.

TL;DR
This study used human choices via an online game to select measurement settings in Bell tests, effectively closing the freedom-of-choice loophole and demonstrating strong contradictions with local realism across multiple quantum systems.
Contribution
It introduces a novel approach of using human-generated randomness in Bell tests, avoiding assumptions about physical unpredictability and enabling global participation.
Findings
Strong violation of local realism observed
Successfully closed the freedom-of-choice loophole
Demonstrated scalable, global human-involved quantum experiments
Abstract
A Bell test is a randomized trial that compares experimental observations against the philosophical worldview of local realism. A Bell test requires spatially distributed entanglement, fast and high-efficiency detection and unpredictable measurement settings. Although technology can satisfy the first two of these requirements, the use of physical devices to choose settings in a Bell test involves making assumptions about the physics that one aims to test. Bell himself noted this weakness in using physical setting choices and argued that human `free will' could be used rigorously to ensure unpredictability in Bell tests. Here we report a set of local-realism tests using human choices, which avoids assumptions about predictability in physics. We recruited about 100,000 human participants to play an online video game that incentivizes fast, sustained input of unpredictable selections and…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Code & Models
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
