Diffraqtion

Quantum Cameras for space and terrestrial physical AI. DARPA and NASA funded, MIT/UMD spin-out.

[Diffraqtion @diffraqtion]

@FlameAngel8 @Qtumanalysis @LockheedMartin We never claimed to violate it, we just play a different imaging game where the diffraction limit doesn’t apply. Thus we can distinguish and characterise objects that conventional cameras cannot.

[QuantumAnalysis @Qtumanalysis]

QUANTUM CAMERAS ARE COMING?!

Every camera ever built hits the same wall, the diffraction limit. Resolution is capped by the size of the lens. For 150 years, seeing farther meant building a bigger telescope. It's why spy satellites are enormous.

An MIT and University of Maryland spinout called Diffraqtion says it broke that wall and they're backed by LOCKHEED MARTIN.

Conventional cameras measure how bright light is at each pixel and throw away everything else. Diffraqtion's cameras sort light by its shape instead, reading information every normal sensor discards. Quantum measurement theory says it was always there but nobody was looking.

The claim: resolve features up to 20x smaller than the diffraction limit allows, from a fraction of the aperture, size, and cost. Onboard processing that classifies targets orders of magnitude faster.

It's not a lab slide, they've done on sky demonstrations at an observatory, distinguishing closely spaced objects. DARPA advanced their program to its second phase. NASA picked them for orbital debris tracking. And this week Lockheed Martin Ventures and Sumitomo's venture arm closed their round at $10M+. Next step will be the first camera flies on a partner spacecraft.

No qubits, no cryogenics, no quantum computer. It's quantum optics, using the quantum nature of light itself. Passive, cheap, and it works now.

Lockheed cares because a small satellite that sees like a big one changes space reconnaissance economics entirely. Whoever tracks and identifies objects in orbit with the cheapest hardware wins the space domain.

Quantum computing gets the headlines, yet quantum sensing keeps quietly shipping.

$INFQ $IONQ $QBTS $RGTI

[Diffraqtion @diffraqtion]

Exactly. And physical AI requires the most powerful sense of all, vision!
That’s why we’re building quantum cameras for physical AI.

[Polymarket Money @PolymarketMoney]

BREAKING: Nvidia declares physical AI could become “10x larger than digital AI” with Jensen Huang predicting every industrial company will become a robotics company.

[Diffraqtion @diffraqtion]

Love this AI image about Diffraqtion from the SiliconSnark article! 😅

We do indeed have a telescope on the roof of Greentown Labs to execute tests, although our Engineers Bouke and Itay are a bit less yellow :)

And the sign in the back summarizes our quantum camera perfectly:
✅ Two Sats
✅ One Speck
✅ Zero Problems

https://t.co/csIO1rAG9H

[Diffraqtion @diffraqtion]

@orionlensguy @outerspacetoday Hosted payload 🛰️

[Diffraqtion @diffraqtion]

@barneyp Thanks, we think so, too!

[Diffraqtion @diffraqtion]

For as long as cameras have existed, seeing farther has meant building bigger optics.

We're building quantum camera platforms that break that rule and enable space domain awareness and reconnaissance missions.

Today we're announcing strategic investments from Lockheed Martin Ventures and Presidio Ventures, the venture arm of Sumitomo Corporation, capping our pre-seed at over $10M in total funding.

Seven months ago we came out of stealth with a first close led by Ground State Ventures. Since then, we completed on-sky demonstrations at a partner observatory, distinguishing closely spaced objects. Our Defense Advanced Research Projects Agency (DARPA) Direct-to-Phase-II SBIR advanced into its second option period. NASA - National Aeronautics and Space Administration selected us for an SBIR Phase I in orbital debris tracking and named us the winner of its $100,000 Space to Soil Challenge.

Our cameras sort incoming light by its shape rather than its brightness, measuring information conventional systems discard. That means resolving detail below the diffraction limit at a fraction of the aperture, size, and cost.

Next comes our first fielded camera. Flight heritage is planned through a hosted payload on a partner spacecraft.

Thank you to SBI US Gateway Fund, Plug and Play, Collaborative Fund, and TekVentures, and to Aether VC, milemark•capital, and ADIN for following on.

Link to the full release in the first comment.

[Diffraqtion @diffraqtion]

@Simemeulation @TheDevilCloud Hopefully soon at the IPO #DFQ 🤠

[Diffraqtion @diffraqtion]

@schulzb589 Good summary! Not entirely accurate but close enough :)

[Diffraqtion @diffraqtion]

@metalscontent @GreentownLabs is the best 🫶

[Diffraqtion @diffraqtion]

@TheMakerPatrick Thanks Patrick!

[Diffraqtion @diffraqtion]

@PhilipJohnston @AdiOltean @EzraFeilden Let’s go! We’ll make sure we keep track of your spacecraft for the next 80,000 years 🛰️

[Diffraqtion @diffraqtion]

@Nursabo112 @Scobleizer We agree!

[Diffraqtion @diffraqtion]

@emonuxui @Scobleizer Exactly, it shrinks the entire host vehicle’s size, making cubesats resolve features that only a massive satellite otherwise would.

[Diffraqtion @diffraqtion]

@sd_marlow @Scobleizer Resolving!

[Diffraqtion @diffraqtion]

@TheDevilCloud Same here 📸

[paradigma @paradigmaK4]

For decades, “see farther” mostly meant “build bigger optics.”

Diffraqtion is betting that physics, photon counting, and AI can break that tradeoff.

If they’re right, this is a much bigger story than another camera startup.

[Abhijit Ganguly @TekVenturer]

There is a rich history of technologies that have made their way from space into terrestrial life. Our investment in @diffraqtion alongside @LockheedMartin explores the potential of quantum cameras to see (a lot) more without scaling optics in traditional cameras. https://t.co/RSV2AZZhzW

[Outer Space Today @outerspacetoday]

Full story: https://t.co/G7FywkgsKY

[Diffraqtion @diffraqtion]

@orionlensguy @outerspacetoday Yes, we did demo the capabilities on telescopes and observatories for closely spaced objects! For in-orbit performance, we plan our orbital demo in 2028.

[Diffraqtion @diffraqtion]

@TradedVC Thanks for the feature!