Oh I dunno. I made a mm-wave radar with a Rotman lens using a generative loop between Python, Rhino, and EM simulation. Pretty sure AI could cook that up.
(Linked VCU128 digital radar was cool but even cooler is using them as digital array beamformers and sending RDMA over fiber into a quad A100s nvlinked to do the whole radar DSP pipeline)
It was designed for automotive as a replacement for LiDAR, also useful for finding metal FOD on runways, or concealed weapons and I suppose also liquids on travelers walking in an airport...
32 port Tx (vertical pancake beams) x 16 port Rx (horizontal pancake), something like 60 by 30 degrees. the entire thing used FPGA transceivers as one-bit DAC/ADC, Complementary Golay Code waveforms with one-bit correlation in the FPGAs (two VCU128s) -- digital logic was essentially the same as a binarized neural network, I squeezed a ton of popcnt performance out of those chips using both DSPs and LUTs
Very cool! Six years ago I worked on a mmWave (76-81GHz) imaging radar with a Rotman lens Tx and Rx. Designed as a LiDAR replacement, but we could see pipes in walls, or detect concealed weapons at ~1km.
For those unfamiliar: NC is the class of problems which can be solved in polylogarthmic depth with polynomial number of logic gates. It is unproven if NC != P similar to P != NP.
Don't worry about not grokking quantum computing stuff, neither do any of the people who invest in it as well as many people who work on it.
1. The OP has nothing to do with quantum computers.
2. Quantum computing deals in coherent quantum states: associated with N qubits there are 2^N complex amplitudes. You can measure by sampling the square-magnitude of the complex amplitude which turns it into a Probability Distribution. Quantum computing "gates" cause interference in the complex amplitude of entangled qubits cancelling out incorrect results, such that if you maintain coherence for long enough and sample the final state and measure the probability distribution, you get a computationally useful result. The key challenge in quantum computing is extending the coherence time of a larger and larger number of qubits, which is why you hear so much about quantum error correction. Recent results from Google showed a scaling law for "surface codes" using multiple qubits to create an error-corrected topological qubit with extended lifetime. There is no telling how far this scaling law will go, but as long as Gil Kalai is in the next room, it is unlikely there will be actual useful quantum computation for a while.
Ultrasound is totally harmless, but doctors recommend ALARA ("as low as reasonably achievable"). Average baby is exposed to 50 - 90 minutes of ultrasound over three visits, though we had to go more frequently for scans for all three of my kids. This would be 36 minutes if you went in every week. If it was possible to get medical quality anatomy scans and avoid transvaginal scans (either because of the tech or simply just going reguarly enough to catch all the imaging you need) then it would win the entire US market for sure: roughly $3-7B for the ultrasounds (3.5M US births at $1-2k per for ultrasounds). also it's a spa -- prenatal wellness spend in the US estimate at $5-7B.
There are 100M pregnant women right now. If it works for just for the vanity use of seeing your baby grow (forget the medical imaging aspect) and can be as casual and relaxing experience as they put forward, then I can see such a spa being wildly successful.
The FPGA emulator we made had to pass the xxdp test suite which was provided to me on punched tape and microfiche. The emulator had a specific test for FDIV overflow which even tested the accuracy of the partial result. None of the software emulators I tested did this. I emailed Gordon Bell who introduced me to Bob Supnkk, and we found the original flowcharts for it so I could replicate the divider logic precisely. Imagine a nuclear reactor dependent on this lol.
Founder at Flybrix, Dir. DSP at General Radar, Founding Engineer at hCaptcha, Zigfu YC S11
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