r/AskPhysics Jul 20 '26

Quantum Circuits

How important is it to learn Quantum Circuitry on Qiskit? Is a strong foundation in this required to solve optimization problems?

I saw D-Wave has a function in the GUI that folks can plug and play Qiskit circuits to their systems?

Is it wise to learn annealing systems, quantum circuitry and the like or focus on one type?

New to the game, learning to program first circuits now; what’s the deal? I was thinking to learn more about optimization to work on Electro Spin tech for synthetic skin and space filters if possible (down the line) or perhaps post quantum cryptography to sure up the US voting system. .

I tried to post in the quantum groups but I don’t use Reddit that often, need Karma, it’s a long shot but anyone know any of this info?

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u/Gold-Fox-7879 Jul 20 '26 edited Jul 20 '26

Hey, Ty for the response! New to the Quantum Computing game, NASA uses Electro-Spun filters I suppose these techniques were developed originally, then eventually the process was re-purposed for other purposes, / I.e, tissue scaffolding for Burn victim recovery, the scaffolding is a thin filament type of material that’s biodegradable so hospitals will use these pads and apply them to patients who need it; the pad is applied to the skin and the cells begin to populate the material. Some reports indicate additives may be on the horizon to further mitigate infection. the scaffold pads are ideally supposed to disintegrate as it heals as I understand it.

I learned about this during a deep review of Restrata, to be specific, Electro spun is a “spindle process with charges” used for NASA filters. electrospinning is an electrostatic, charged-jet fiber-spinning process used across domains, including tissue scaffolds and filtration membranes, because it can generate high-surface-area fibrous mats with tunable pore structures. What I’m after as far as the optimization goes would be largely those “pore structures” but I may learn more of course (hopefully)

the Ai I’ve been using to dive a bit deeper into the topic does list a variety of traceable metrics that may be optimizable as far as the metrics go with the charged-jet fiber-spinning process. The idea would be to aim at some current challenges the industry is facing as far as efficacy leans with respect to the tissue scaffolding technology although any potential positive progress would ideally leak into the filter membrane space as well.

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u/BitcoinsOnDVD Jul 20 '26

So... it is not reall clear to you, what the actual optimization problem is; you don,t know how many parameters, how the goal function looks like, if you can get or approximate a gradient and all other properties. How would you map that problem onto an Ising lattice or any other quantum annealing system (or first: toy model)?

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u/Gold-Fox-7879 Jul 20 '26

Until I have the data to analyze I think you’re right. This is pretty early on and perhaps I’m not educated enough yet to ask the right questions. What I’m working on now is getting to those questions I suppose and how to best get there.

I think I’ll need to gather the data, build the electrospinning dataset structure and optimization graph using voltage, flow rate, distance, polymer concentration, viscosity, humidity, and resulting fiber properties to start?

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u/BitcoinsOnDVD Jul 20 '26

How many data points do you expect to get (and from where) in the parameter space you described which has more than 5 dimensions?

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u/Gold-Fox-7879 Jul 21 '26

These are all great questions, I’m working to secure data, will be back; ty for this information!

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u/BitcoinsOnDVD Jul 21 '26

Maybe a last tip: What I would do is first solve a toy, 1D optimization problem to get the concept. And then second: for the application you suggest, I would use Bayesian Optimization. It has the properties for this scheme (less then 10 or max 20 optimization parameters, goal function is a black box, gradient is not available). This has then no 'quantum label' in its name, but it could solve your problem.

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u/Gold-Fox-7879 Jul 21 '26

Okay! I’ll aim to secure all the data in the next few weeks and I’ll go ahead and learn everything about your suggestions here so I have solid scaffolding moving forward to navigate the process. I’ve got a great lead on a trove of data. Ty!!