Separated qubits don’t really like to interact. Instead, then, we just make them bigger and control them at the same time. We can implement gates via a sequence of pulses. If you work with interacting qubits a lot, you will end up with the APR Paradox.

If you take two qubits, and move them though two gates, you essentially will get entangled results.

To make this works, you will need to take some probability. Know correlation, expectation, etc.

• \(A\) does all the asking, \(B\) has all the decision making power
• Population \(A\)’s match never goes up at best, they stay the same
• Population \(B\)’s match can never go down. At worse, they stay the same.
• Population \(A\) always ends up with the highest-preferred person in their realm of possibility
• Population \(B\) always ends up with the lowest-preferred person in their realm of possibility

• “Are the nodes system independent of the class system?”
• Does the model require a set of L2 class?
  • Can we build the model to take advantage of as many 10* things as possible?
• A preso
  • Demo of a kid moving through MVP vis a vis advantage over just taking all classes
  • Naming skills that would go on the graph
  • Figuring: comparability with flattening like in a L1 system