Key Findings
- Avi Loeb is demanding transparency from NASA.
- Congress wants answers before the December 19 close approach.
- And yet the most powerful analytical engines on Earth remain silent.
By Samuel Lopez | USA Herald – For months, the world has pressed NASA to release every frame, every dataset, and every hidden pixel of information related to 3I/ATLAS. But the longer I examine the raw data available to us—the jet symmetry, the anomalous brightening, the rotation signatures, the acceleration-deceleration cycles, and the UV halo irregularities—the clearer one reality becomes: classical computing may no longer be enough to interpret what we are seeing. It is time to begin placing that same pressure on the few institutions that control the world’s operational quantum computers.
These machines—Sycamore at Google Quantum AI in Santa Barbara, IBM’s Condor in Yorktown Heights, the D-Wave Advantage annealer in British Columbia, Rigetti’s Aspen processors in Berkeley, IonQ’s Aria and Forte in Maryland, and the Honeywell/Quantinuum H-Series operating between Colorado and Cambridge—represent capabilities far beyond anything inside NASA’s public-facing computational arsenal.
Each one was designed to simulate complex quantum systems, analyze high-order interactions, and evaluate multidimensional patterns that break classical architecture. And 3I/ATLAS, with its repeatable anomalies and persistent defiance of natural comet physics, fits squarely into the category of problems these machines were built to confront.
Google’s Sycamore and Sycamore 2 are already used to stress-test quantum error correction frameworks and simulate exotic materials. The same framework could model the non-natural stability of 3I/ATLAS’s dual jet structures, which remain perfectly straight and symmetrical—even when solar dynamics should distort them. Though not perfect, as described by Dr. Elias Raskin, Nobel laureate physicist and noted specialist in quantum field theory and non-linear time models, spoke out about an incident at a closed-door symposium held in Zurich and subsequently leaked to the media.
“This wasn’t a crash,” Raskin explained. “The information it was processing—if true—would contradict our most basic conception of space, time, and causality. What’s worse is that the shutdown came immediately after the chip tried to simulate a hyperentangled system that’s not supposed to be possible according to the existing laws of physics.”
According to Dr. Raskin, the shutdown occurred precisely as the chip neared a theoretical threshold—a moment of informational coherence that, he warns, may indicate something far more unsettling: the processor might have begun attempting to compute or interact with data beyond the confines of our observable universe.
But then there is IBM’s Condor processor, with more than a thousand superconducting qubits, is capable of evaluating simultaneous probability distributions across massive parameter sets. That capability could interpret the object’s unusual deceleration near perihelion, followed by periods of unexpected speed recovery, a behavior no comet in recorded observation has demonstrated with this level of consistency.
The D-Wave Advantage annealer, famous for solving optimization problems across military logistics and aerospace design, could analyze the energy-efficiency profiles underlying the anti-tail formation of 3I/ATLAS. Annealers specialize in determining the lowest-energy pathway through complex landscapes—precisely the method needed to evaluate whether the object’s jet orientation is the result of natural outgassing or a controlled, optimized force vector. And Rigetti’s cloud-first architecture offers the ability to construct quantum-classical hybrid workflows that run simulations at a scale NASA has not attempted publicly.
IonQ’s machines—the highest-fidelity trapped-ion systems in the U.S.—may be even more critical. Their ability to run high-precision simulations has already attracted aerospace contracts and advanced materials researchers. The fidelity of their trapped-ion qubits could help reconstruct the radio-frequency absorption signatures detected near 1665 and 1667 MHz—signatures that mirror OH communication lines long studied by SETI researchers, and which appeared five days before perihelion in a pattern inconsistent with pure natural emission.
Across the Atlantic, Quantinuum’s H-Series systems are being used to generate quantum-safe encryption protocols for defense agencies and major banks. Yet the same machines could provide invaluable modeling of the UV halo surrounding 3I/ATLAS, especially the echelle-spectrum irregularities captured by MAVEN. These halos do not behave like typical hydrogen clouds surrounding comets. They show pulsation, asymmetry, and unexplained density fluctuations that may represent chemical processes or radiation interactions we cannot yet classify.
Each of these quantum computers was built to evaluate physical systems that are not intuitive, not linear, and not classically solvable. That is exactly the situation we face with 3I/ATLAS. The anomalies are repeatable. They are documented. They are consistent across independent observatories. And they have outpaced the analytical power of classical computation.
My review of NASA’s publicly released images—including HiRISE composites, MAVEN ultraviolet frames, and amateur astrophotography—shows patterns that require modeling at scales unavailable to traditional computing. Quantum simulation is no longer speculative; it is necessary. If America’s most advanced quantum systems were pointed at the existing 3I/ATLAS data, the scientific world could obtain answers that traditional astrophysics cannot reach. This is not a matter of speculation; it is a matter of computational reality.
As December 19 approaches, the mystery deepens, the evidence grows, and the world waits. We have pushed NASA. We have pushed international bodies. The next step is clear. The institutions operating these quantum platforms—Google, IBM, D-Wave, Rigetti, IonQ, and Quantinuum—must now be called upon to contribute. If 3I/ATLAS is the most scientifically significant interstellar object ever observed, then it deserves analysis using the most powerful computational tools humanity has ever built.
We will continue monitoring every frame as new data emerges.
