Note: Please do not take this as financial advice and do your own research, the stock market is incredibly volatile and these are my own ideas and recall from chatting with Ai bots and might potentially be error prone. Anyhow, hopefully it is accurate enough at least.
Crypto and Ai investors might consider investing in the quantum photonics revolution which will be the next major frontier in computing networks and data servers. While traditional blockchains and classical Ai networks are programmed using classical bits and bytes they are not nearly as information dense, energy efficient, or cryptographically secure as a photonic blockchain or quantum Ai network designed on the operating principles of qudits will be in the coming years. The frontrunner in the quantum photonics race is a company known as Quantum Computing Inc or QCI ($QUBT).
QCI owns a chip design foundry in Tempe, AZ and recently acquired the necessary production line assets from Luminar Technologies. QCI's hardware already demonstrably mounts onto a standard size computing server rack and runs on the Dirac-3 quantum photonics operating system, and as a next step, all they got to do is shrink the lasers to fit the entire server into the size of a smartphone or tablet. Based on my understanding, here is how the process currently works:
QCI plasma etches a pattern of nano sized waveguides into a thin-film lithium niobate (TFLN) chip according to the dimensional size of a qudit processer and then a pulsing laser light modulated by an input signal is transferred through a tuned diffraction grating relative to the complex optimization problem being solved thereby deviating the timephase, frequency, and wave-channel of the pulsing photons. These displacement changes are then recorded as triple wave vectors, similar to the 1's or 0's of a classical computer system but with far greater information density thereby delivering a much more rapid solution space for large optimization problems, typically solving them in drastically faster times than a classical computer can, think in terms of seconds to minutes vs hours to days and you get the general idea. This is done with a qudit processor that measures the waveform of the laser pulses as they are transformed through an electrically tuned iterating diffraction grating feedback loop within the TFLN chip.
In simplified classical terms, one might conceptualize the general photonic waveform as:
E(t|i) = [A*sin(B*t+C) | i]
which can then be stored as a general triple-wavevector:
Êi = [A, B, C | i]
whereby:
i ≡ the laser pulse number
A ≡ Wave Amplitude (converted from the waveguide number along the qudit which the pulsed laser photons refract through)
B ≡ Wavelength (converted to the photonic frequency)
C ≡ Wavephase (converted to the time delay impedence)
The assets QCI recently acquired from Luminar include:
(1) Freedom Photonics: High-performance laser and photonics integration.
(2) Black Forest Engineering: Custom mixed-signal ASIC (chip) design.
(3) Optogration and EM4: Specialized optical packaging and receiver technology.
According to my speculation, as a possible next step in QCI's chip development process they might eventually be able to plasma etch a whole quantum photonic neural net and miniaturize the laser elements into an Integral Quantum Photonic TFLN Chip design that will be small enough to fit into a common smartphone or wearable headset in the next few years or so.
