Quantum Cameras and Sub-Diffraction Imaging with Johannes Galatsanos

Johannes Galatsanos occupies an unusual dual perch in the quantum ecosystem. As a co-author of the inaugural MIT Quantum Index Report, he's helped map the entire quantum landscape at altitude; as co-founder and CEO of Diffraqtion, he's staked his career on one of its most under-discussed corners: quantum imaging. The company spun out of Saikat Guha's lab at the University of Maryland after more than a decade of DARPA-funded research, emerged from stealth in January 2026 with $4.2M in pre-seed funding, and is now racing toward on-sky telescope demonstrations and a 2028 satellite launch.

This episode is for listeners who want a technically honest look at where the "quantum" label is doing real work in a sensor versus where it's shading into sophisticated photonics and analog computing. If you care about how quantum technologies actually reach the world — through markets, contracts, and hardware that ships — this conversation gives you a specific, concrete example to think with.

What You'll Learn

• Why a conventional camera can lose roughly 95% of the information a photon carries, and what quantum Fisher information theory says about recovering it
• How Diffraqtion's device processes light directly in the photonic domain before converting it to electronic information — and why that matters for shot noise
• The honest answer to "is this really quantum?" — including where the technology sits between quantum information theory, photonics, and analog computing
• Why a 6U CubeSat with a 10-centimeter aperture can plausibly compete with school-bus-sized observation satellites for specific tasks
• How a "diffractive neural network" runs image classification at the speed of light with negligible power consumption
• The difference between Diffraqtion's hard-coded Gen 1 camera and the reprogrammable Gen 2 that can swap algorithms in orbit (canopy detection over the Amazon, ship detection over the Atlantic)
• Why the Habitable Worlds Observatory needs a coronagraph capability — and how you can build one by processing light rather than blocking it
• What quantum sensing needs from policy, capital, and PR to escape the shadow of quantum computing

Resources & Links

Guest & Company

• Diffraqtion — Company homepage; describes the technology, NASA/DARPA lineage, and the "quantum eye" framing referenced in the conversation.
• Johannes Galatsanos on LinkedIn — Recent activity including SmallSat Europe, the NASA Space to Soil Challenge, and GQIG Summit talks on quantum imaging.

Papers & Reports

• Quantum Index Report 2025 (arXiv) — The preprint of the MIT QIR, co-authored by Galatsanos. Essential reading for anyone trying to see the quantum landscape as a whole.
• MIT Sloan — New MIT Report Captures State of Quantum Computing — Background on the QIR and Galatsanos's research role at the MIT Initiative on the Digital Economy.
• MIT Sloan — Quantum Report Charts Growing Business Interest — Further QIR findings on the growth in corporate quantum mentions.

Press & Coverage

• Diffraqtion Pre-Seed Announcement (PR Newswire) — Official release covering the $4.2M raise, DARPA contract, and founding team.
• Breaking Defense — DARPA Backs Diffraqtion — The most in-depth interview on the DARPA SBIR contract and programmable light plates.
• The Quantum Insider — Diffraqtion $4.2M Raise — Investor context including quotes from Chad Rigetti; technical claims on resolution and processing.
• Payload Space — Diffraqtion Emerges from Stealth — Commercial framing around the 6U CubeSat cost model.
• Defense One — Quantum Cameras Could Remake Space-Based Intelligence — Policy and defense framing.

Sponsor

• Cisco Universal Quantum Switch — Outshift by Cisco — Cisco's incubation engine, building a scalable quantum network on open standards and vendor-agnostic architecture.

Key Quotes & Insights

• On quantum information loss: "When you do a direct image… you lose something like 95% of information from that photon. So you leave 95% on the table, and the question was: how do you extract that back?"
• On what "quantum" really means here: Galatsanos is refreshingly candid — the device uses quantum Fisher information theory to set the physical limit and configure the hardware, but the runtime processing is closer to analog photonic computing than to gate-based quantum computing. He describes it as sitting between "quantum 1.0" and quantum sensing.
• On the frog's-eye analogy: Retinal ganglion cells can process shapes and trajectories faster than the brain — which is why you can catch a baseball or a falling fork before you consciously see it. Diffraqtion is trying to give satellites and robots the same kind of reflex.
• On the JPEG as a historical artifact: "JPEG was a little bit of a logical step… but now the thought is, forget about it — you don't even need that. The light itself already will tell you." The machine, unlike a human operator, doesn't need an image.
• On why quantum sensing lags in the discourse: Insight — quantum computing benefits from a single unifying narrative that every vendor can pull on. Quantum sensing has to invent its own story from scratch for each modality, which is a structural PR disadvantage more than a technical one.

Related Episodes

• Ep. 65 — Quantum sensitivity breakthrough with Eli Levenson-Falk — On protocols that push measurements beyond conventional limits; a natural companion to the Fisher information discussion.
• Ep. 16 — Operating at the Quantum Limit with Dr. Dana Anderson — Infleqtion's CSO on quantum sensing alongside computing; useful context for why sensing is closer to deployment.
• Ep. 68 — Incubating quantum innovation with Vijoy Pandey of Outshift by Cisco — On quantum networks solving real problems today; a parallel to Diffraqtion's near-term deployment argument.
• Ep. 63 — A Programming Language for Quantum Simulations with Xiaodi Wu — Also from the University of...