Author Archives: vznvzn

bell tests, a radical/ unchecked new idea/ “loophole”

hi all, have been pondering bell tests again. it would seem that “loophole free” tests done in the last decade or so are airtight, eg [1]. it seems there is just no room left for (einsteinian) locality. or is there? have been pondering on the deep mystery of QM entanglement for over ~2½ decades myself now and have to revise my thinking in light of new experimental insight.

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vzn quantum theory research program laid out

Whether you can observe a thing or not depends on the theory which you use. It is the theory which decides what can be observed.–einstein[54]

hi all! the minev experiment really got my neurons buzzing and inspired me to dive deep into a lot of QM lately. so have been looking further into many QM directions that are relatively new, only about ~2decades old. during this time Quantum Computation has had a big effect on the development of physics research + trends. the age-old problem introduced with the origins of QM, “the measurement problem” comes front-and-center. QC fundamentally depends on “accurately measuring” qubits. but due to complementarity identified by Bohr + the heisenberg uncertainty principle, “accurate measurement” is an extremely slippery, subtle concept in QM/QC.

this stuff is some of the hardest in the world to “wrap ones brain around.” the worlds top geniuses are still struggling themselves. its a rarefied crowd, an at times esoteric/ arcane area. even physics specialists into QC are not so familiar with some of the deeper ramifications. last month, outlined a bunch of vocabulary that is related to the Minev work. ah, its much more comprehensive, its an entirely new vocabulary around QM mostly from the optics subfield. had to try to disentangle all that somehow…

“the devil is in the details…”

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SUBQUANTUM REVOLUTION BEGINS… NOW!

A new scientific truth does not triumph by convincing its opponents and making them see the light, but rather its opponents eventually die, and a new generation grows up that is familiar with it. –PLANCK

  • GAMECHANGING, MULTICENTURY KUHNIAN PARADIGM SHIFT IN PLAY/ INITIATED
  • SCHROEDINGER CAT OUT OF THE BAG
  • EINSTEIN+SCHROEDINGER WERE RIGHT, BOHR+HEISENBERG WRONG
  • BOHM VINDICATED
  • BELLS INTUITION EXPERIMENTALLY PROVEN
  • 20TH CENTURY QM THEORY IS INCOMPLETE
  • SO-CALLED COPENHAGEN “INTERPRETATION” OBSOLETE/ FALLS/ OVERTURNED/ FALSIFIED, NOW CONSIGNED/ RELEGATED TO DUSTBIN OF HISTORY
  • THE DISTINCTION OF CLASSICAL PHYSICS VS QUANTUM MECHANICS IS A FIGMENT OF HUMAN IMAGINATION AND SCIENTIFIC COGNITIVE BIAS
  • WAVEFUNCTION “COLLAPSE” IS NOT INSTANTANEOUS, HAS MEASURABLE/ REPEATABLE DYNAMICS, NOT DERIVABLE FROM PRIOR QM AXIOMS
  • WATERSHED MOMENT/ THE FLOODGATES HAVE OPENED
  • 21ST CENTURY QC EXPERIMENTALISTS LEAD THE WAY TO A NEW POST-20TH CENTURY PHYSICS VIA NEW MEASUREMENTS/ PHENOMENA
  • THE JURY IS IN: SUBQUANTUM REALM IS REAL, EXPERIMENTALLY PROVABLE/ TESTABLE, CONTROLLABLE, REPLICATED
  • DESPITE A CENTURY OF DENIAL AND OBFUSCATION, QUANTUM MECHANICS IS DISGUISED FLUID DYNAMICS AT HEART
  • NOW BETA TESTING QUANTUM MECHANICS VERSION 2.0
  • NEW SCIENCE/ TERMINOLOGY BEING DISCOVERED/ INVENTED AS WE SPEAK
  • TEXTBOOKS NEED TO BE REWRITTEN

hi all. am EXCITED! the future has ARRIVED, NOW!

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collatz story arcs further

the outside background around this post is that google just announced world-shattering results in protein folding problem with machine learning. this is historic, deserves to be highly celebrated (not mere typical marketing hype!), and crosscutting more than 3 of my favorite fields all tied up into one problem (bioinformatics + physics + ML etc), and am very inspired/ awed/ psyched about this. those feelings are not easy to obtain these days. would like to put large effort into commentary on all this, but alas my audience is not into reciprocity. drop me a line (comment) if you want to (rather easily?) prove me wrong…

am immediately working on the last code some, and my full data scientist expertise/ repertoire is being put to the test. its been some back-and-forth, almost a dialog or even conversation with the data, which is nearly the best case scenario. its like a kind of debugging, but on the level of data manipulation more than coding errors and has a lot to do with trying to understand the presence/ lack of generalization in the model, which maybe as has been indicated a long time ago, is the machine learning equivalent of induction. in other words, the code might work on less complex data, but it doesnt, so has to be further tweaked. this is an attempt to make a relatively long story short.

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