This Physicist Says Black Holes are Quantum Computers

Black holes may function as quantum computers because the physics that governs them blends short-distance quantum behavior with long-distance gravitational behavior—and that combination could, in principle, support fast storage and rapid processing of information. The core chain starts with a constraint on how “higher energy” probes nature: in ordinary particle physics, higher-energy probes shorter distances, but pushing collisions to extreme energies eventually forms a black hole instead of revealing ever-finer structure. That turning point sits near the Planck energy scale—around 14 orders of magnitude above energies accessible to the Large Hadron Collider—implying that black holes act like a bridge between the ultraviolet (high-energy) regime and the infrared (low-energy) regime.

A key concept drawn from this is “UV/IR mixing,” where black holes effectively merge the physics of quantum fields at high energies with gravity at low energies. Taking that seriously leads to a picture in which black holes are not just classical objects but are best understood in quantum terms as systems dominated by gravitons, the hypothetical quantum carriers of gravity. In this view, information about what falls in is encoded in the black hole’s quantum degrees of freedom, and the information is not lost: it remains accessible on the horizon. That claim aligns with the holographic principle, a framework associated with Jacob Bekenstein and Stephen Hawking that has become a leading candidate for resolving the black hole information loss problem.

The argument then shifts from storage to dynamics. Over the past decade, research has increasingly portrayed black holes as chaotic rather than inert. Anything that falls in gets converted into information and redistributed across the horizon extremely quickly, a behavior summarized by the idea that black holes are “fast scramblers.” The result is a system with two standout properties: unusually high information capacity per unit surface area and unusually rapid information scrambling times. Together, those traits resemble the requirements for computation—especially for tasks that benefit from storing large amounts of data and rapidly mixing it.

From there, the speculative leap becomes more concrete: an advanced civilization could use black holes as data centers. The proposal is to create many small black holes, grow them to an “optimal” size, and arrange them in arrays to perform calculations. The optimal mass is framed as a tradeoff: larger black holes store more information, but retrieving or manipulating that information takes longer; smaller ones are faster but hold less. The estimate given for the computationally optimal size is on the order of a thousand tons—still far smaller than an atomic nucleus.

If such black-hole data centers existed, they would likely radiate a distinctive “exhaust” signature from Hawking-like radiation. That radiation could, in principle, be detectable in sky surveys, offering another angle in the search for extraterrestrial intelligence—echoing older ideas like Freeman Dyson’s notion of large engineered structures around stars.

Even with the speculative framing, the through-line is consistent: the black-hole quantum/gravity picture, combined with fast scrambling and horizon-accessible information, makes black holes look less like cosmic dead ends and more like information-processing machines. The most provocative implication is that if black holes are that capable at storing and processing information, they might also be capable of forms of intelligence—an idea that goes beyond physics into science fiction, but is presented as a logical consequence of the underlying information-theoretic claims.