The future of quantum computing (which has not yet been invented or explored) is quantum holography.
This will be the mathematicians’ sweetest dreams.
Manipulate quantum holographic memory space through constructive and destructive interference, multidimensional transformations, translations between surface areas, and the like. This will more closely resemble analog computing than digital.
The engineering problems today are relevant steps yet any programmatic exercises relying on qubits are useless. Spin disposition is not the most information dense aspect of the quantum domain.
You get to be the person who creates the PDP-11, the Unix, the B (or C) language: fundamental contributions that the majority take for granted, to build our dreams on.
It's ground-level with lots of unknowns. There's not going to be a lot of answers. It's the frontier. There's not a single book or body of knowledge that promises expertise or certification in the applied sense.
Exotic materials, probabilistic effects, cutting-edge research. Isn't that exciting? You get to refine your weaknesses, accept published contributions, and make the same.
How far along are you? You could finish your phd, then get a two year diploma in mechatronics, electrical eng, instrumentation. All near future proof and apparently pay well enough. You could even cert up in NDT, IRATA, ROV and that sort of thing. With your phd you'd get your foot in the door pretty easily.
I'm not very familiar with the employment environment at my place, but according to my senior the environment seems to get worse these years. I hope when I graduate I can still find a job with my phd degree. Thank you for your advice!
Xaira_Thera is looking to hire an AI scientist in the biology space.
Wet warm room temperature quantum computing is believed possible and they are looking for evidence of it in photosynthesis. And, the AI says in summary, skyrmion memory in the quasiparticle space is a career in reach to wide spread application.
We want to know how drugs will work in the human brain, to heal Alzheimer's, Parkinson's, and Autism. Classical computing can't run the simulations necessary to model that, and we're not going to be like the Nazis and run unethical science experiments on unwilling human subjects, so we need quantum computing to be able to model on a computer how things will interact in order to help people. That qbits are sensitive to temperature changes… have you seen how sensitive to dust that integrated circuits are?
I agree that the applications for drugs design and material simulations would be the near future for QC, but unfortunately my professor seems not to focus on them. That's another source of my anxiety: when other groups are considering Fault tolerant frameworks, we are still at the most physical layer, and left behind by routes like neural atoms. So that may be more likely a personal trouble lol.
As for the sensitivity of qubits, they're much more sensitive than integrated circuits and it's far more expensive to keep a suitable environment for the former. And there are natural limits for decoherence.
The qubit is a dead end.
The future of quantum computing (which has not yet been invented or explored) is quantum holography.
This will be the mathematicians’ sweetest dreams. Manipulate quantum holographic memory space through constructive and destructive interference, multidimensional transformations, translations between surface areas, and the like. This will more closely resemble analog computing than digital.
The engineering problems today are relevant steps yet any programmatic exercises relying on qubits are useless. Spin disposition is not the most information dense aspect of the quantum domain.
The day will come, only not any time soon.
You get to be the person who creates the PDP-11, the Unix, the B (or C) language: fundamental contributions that the majority take for granted, to build our dreams on.
It's ground-level with lots of unknowns. There's not going to be a lot of answers. It's the frontier. There's not a single book or body of knowledge that promises expertise or certification in the applied sense.
Exotic materials, probabilistic effects, cutting-edge research. Isn't that exciting? You get to refine your weaknesses, accept published contributions, and make the same.
[dead]
How far along are you? You could finish your phd, then get a two year diploma in mechatronics, electrical eng, instrumentation. All near future proof and apparently pay well enough. You could even cert up in NDT, IRATA, ROV and that sort of thing. With your phd you'd get your foot in the door pretty easily.
I'm not very familiar with the employment environment at my place, but according to my senior the environment seems to get worse these years. I hope when I graduate I can still find a job with my phd degree. Thank you for your advice!
Xaira_Thera is looking to hire an AI scientist in the biology space.
Wet warm room temperature quantum computing is believed possible and they are looking for evidence of it in photosynthesis. And, the AI says in summary, skyrmion memory in the quasiparticle space is a career in reach to wide spread application.
[dead]
We want to know how drugs will work in the human brain, to heal Alzheimer's, Parkinson's, and Autism. Classical computing can't run the simulations necessary to model that, and we're not going to be like the Nazis and run unethical science experiments on unwilling human subjects, so we need quantum computing to be able to model on a computer how things will interact in order to help people. That qbits are sensitive to temperature changes… have you seen how sensitive to dust that integrated circuits are?
I agree that the applications for drugs design and material simulations would be the near future for QC, but unfortunately my professor seems not to focus on them. That's another source of my anxiety: when other groups are considering Fault tolerant frameworks, we are still at the most physical layer, and left behind by routes like neural atoms. So that may be more likely a personal trouble lol.
As for the sensitivity of qubits, they're much more sensitive than integrated circuits and it's far more expensive to keep a suitable environment for the former. And there are natural limits for decoherence.
Thank you for your insightful comment!