Atomiqa

Closing the gap between theoretical scientific breakthroughs and real world outcomes that scale.

[Atomiqa @atomiqaquantum]

With these executive orders, the @WhiteHouse takes a decisive step to secure quantum leadership, not as an abstract scientific pursuit, but as a strategic foundation for industrial strength, energy systems, and national security.

At @atomiqaquantum, we build the scientific intelligence platform that translate these national investments into scalable outcomes: accelerating materials discovery for next-generation energy and manufacturing, optimizing complex industrial processes, and closing the gap between theoretical breakthroughs and deployable advantage.

Policy creates the runway. Execution determines who leads.

[The White House @WhiteHouse]

Ushering in the Next Frontier of Quantum Innovation:

https://t.co/8DDfeXpVEr

[Atomiqa @atomiqaquantum]

HALEU supply has become a binding constraint on advanced nuclear deployment. Without scaled domestic enrichment, projected demand is unattainable and nuclear progress is throttled.

Atomic-scale materials modeling can unlock critical throughput by optimizing enrichment cascades, fuel fabrication yields, cladding performance, and recycling efficiency, accelerating reliable HALEU supply and enabling the next wave of clean energy systems.

#HALEU #NuclearEnergy

[Office of Nuclear Energy | US Department of Energy @GovNuclear]

Advanced nuclear reactors 🤝 HALEU

Learn about the fuel that will allow developers to optimize their systems. 👇
https://t.co/qIHFPPh2s7

[Atomiqa @atomiqaquantum]

MXenes have the properties to outperform today’s battery materials - higher conductivity, faster ion transport, more active surfaces, yet deployment has been blocked by atomic‑level disorder in their structure and surfaces.

Different metals randomly mixed, messy surface terminations (–O, –OH, –F), uncontrolled defects, and variable layer spacing all reshape electron and ion pathways, so each batch behaves differently and refuses to scale.

By surfacing these atomic‑level insights, we can deliberately engineer charge rate, capacity, and stability, positioning MXenes as a serious foundation for next‑generation energy devices, not just research.

[Argonne National Lab @argonne]

The future of materials design is going deeper, atom by atom. A multi-institutional team of researchers, including scientists at Argonne, revealed how atomic structure and surface chemistry shape MXenes, paving the way for tailored materials and tech - https://t.co/Yk8HuvaYcC

[Keri Keinath @kerikeiii]

Classical data platforms optimize what we already know. Quantum + AI surfaces what the system is trying to hide.

[Atomiqa @atomiqaquantum]

We are excited to share that Atomiqa is a Startup Sponsor at Quantum Tech World 2026, June 25-26 at Encore Boston Harbor in Boston.

Atomiqa's platform is built for engineering teams across advanced materials, aerospace and defense, automotive, energy, pharmaceuticals, and semiconductors who are tackling impossible problems and need faster, more predictable paths from discovery to commercialization.

⚛️ Swing by Booth SU8 to see how Atomiqa's scientific intelligence platform turns complex enterprise data into innovative scientific breakthroughs with AI and quantum.

[World Economic Forum @wef]

As these challenges grow, some are becoming harder to address using traditional digital tools alone.

#Quantum technologies are now being tested in targeted areas, from #grid optimization to materials discovery and infrastructure security, as complementary tools rather than replacements.

[Keri Keinath @kerikeiii]

The Omniscalers are now the $200B+ machines playing across every major arena at once.
Quantum compute only matters when it becomes real operational intelligence at that scale.

[Keri Keinath @kerikeiii]

The value chain starts at 1. Materials.

Materials innovation is the real barrier to AI scalability. Model sizes and clusters are exploding, but copper interconnects have hit the wall on bandwidth and power. Photonics is the escape hatch, yet it all rests on breakthroughs in substrates, compounds, and optical materials that can be manufactured reliably and at volume.

No material progress = no bigger models, no cheaper inference, no energy-efficient AI at the next scale.

We’re back to atoms: the fundamental physical materials that determine what’s actually possible..

The next decade of AI progress will be decided in the materials lab, the fab, and the supply chain.

[Keri Keinath @kerikeiii]

There is a common misconception that quantum is still years away.

In reality, enterprise companies are already moving beyond experimentation into measurable value.

The divergence between how it’s perceived and how it’s actually being used is where things get interesting.

The question is no longer whether this reshapes industries, but who is positioned early enough to capitalize on it.

https://t.co/c7we23g5Qv

[Atomiqa @atomiqaquantum]

@babykhy kyle ang alam ko lang yung sa cl sa page 35 at poem di ko na kopya yung iba eh sorry

[Atomiqa @atomiqaquantum]

@babykhy ahh ok

[Atomiqa @atomiqaquantum]

@babykhy bakit anong meron?

[Atomiqa @atomiqaquantum]

@babykhy yeah varsity woohooo

[Atomiqa @atomiqaquantum]

@babykhy yahooooooo thank you ^^

[Atomiqa @atomiqaquantum]

@babykhy ahhh ok

[Atomiqa @atomiqaquantum]

@babykhy d2 "now he can say that i am a real friend"

[Atomiqa @atomiqaquantum]

@babykhy di kita gets

[Atomiqa @atomiqaquantum]

@babykhy ha?

[Atomiqa @atomiqaquantum]

@painpein07 pano mo ako nakita