Take for example the Standard Model Lagrangian (which is a sum of nonlinear fields and used to predict some but not all of particle physics (i.e. n-body gravity, superfluids, antimatter or not, Copenhagen interpretation or not, etc.)),
[ LaTeX rendering of the Standard Model Lagrangian, and other as-yet unintegrated equations ]
How elegant are these? Is it ever proven that they are of minimal complexity in their respective domains piece-wisely?
Learning of Entropy, I had hoped you know. But then that's just classical Shannon entropy, and not quite the types of quantum entropy described in for example the Quantum discord Wikipedia article, and then that's still not quite quantum fluidic complexity (with other field effects discounted, of course); so is there an elegant quantum fluidic thermodynamic basis for it all and emergence?
Quasiparticles display emergent behavior.
Virtual particles have or haven't mass independent of 2-body gravity.
Gravity alone sometimes produces mass, or photons at least.
Regardless, things have curl and Divergence.
And so Quantum Chaos: what can it predict? Can it can do quantum gravity effects in Superfluids at scale?
Progress in quantum CFD would require a different architecture to prove low error of a model for predictions in superfluids.
And so how many error-corrected qubits exist to simulate a gas fluid in space (in microgravity) is the limiting factor in checking the sufficiency of a grander unified model from here, too.
And also for how long qubits can be stored; we can save save a integer and a float for longer than human timescale with error corrected distributed storage networks, but we can't store the output wave function(s*) from quantum computer simulations for more than a second.
So prove it means QC, and that's not what I see here.
[ LaTeX rendering of the Standard Model Lagrangian, and other as-yet unintegrated equations ]
How elegant are these? Is it ever proven that they are of minimal complexity in their respective domains piece-wisely?
Learning of Entropy, I had hoped you know. But then that's just classical Shannon entropy, and not quite the types of quantum entropy described in for example the Quantum discord Wikipedia article, and then that's still not quite quantum fluidic complexity (with other field effects discounted, of course); so is there an elegant quantum fluidic thermodynamic basis for it all and emergence?
Quasiparticles display emergent behavior.
Virtual particles have or haven't mass independent of 2-body gravity.
Gravity alone sometimes produces mass, or photons at least.
Regardless, things have curl and Divergence.
And so Quantum Chaos: what can it predict? Can it can do quantum gravity effects in Superfluids at scale?
Progress in quantum CFD would require a different architecture to prove low error of a model for predictions in superfluids.
And so how many error-corrected qubits exist to simulate a gas fluid in space (in microgravity) is the limiting factor in checking the sufficiency of a grander unified model from here, too.
And also for how long qubits can be stored; we can save save a integer and a float for longer than human timescale with error corrected distributed storage networks, but we can't store the output wave function(s*) from quantum computer simulations for more than a second.
So prove it means QC, and that's not what I see here.