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Decades of research from the PEAR lab at Princeton to recent mind-matter studies show people can subtly influence quantum random number generators.
Quantum Canvas uses this effect as a live signal. We found a way to seed AI content: images, reflections, responses, and videos, with quantum noise sampled at the moment a user engages with generating the content.
An AI (Large Language Model) interprets that pattern into content: reflections, prompts, responses, all shaped by your presence.
The quantum field becomes the personalization channel.
Does quantum seeding boost AI performance?
We ran two blinded studies with > 600 randomized participants to find out.
Each received a short AI generated reflection about themselves; no prompts, no user data.
The quantum seeding lifted metrics:
+59%
"More Intuitive"
With quantum seeding, outputs reflected the users more intuitively.
+49%
"More Personal Clarity"
With quantum seeding, outputs helped users see themselves more clearly.
Imagine capturing your experience of a moment, not with a camera, but through your own connection to it. That’s what happened here. A guest at a wedding simply initiated the process, without providing any explicit input or prompts. Our technology interpreted their passive interaction with quantum noise, using it as the sole input to generate an AI instruction.
The result? The image here; a metaphorical reflection of their experience of the wedding, created entirely from chaos.
What would you build with this?
A depiction of a wedding; the prompt generated entirely through our technology—no prior data, no prompts, only quantum noise and interpretation.