CPU OptimizationSolver with annealing schedule for solving QUBO problems

[GaboFGuerra]

User Story

As a user of the OptimizationSolver with CPU backend, I want to chose an annealing schedule to control the exploration-explotation trade-off of the search algorithms across runtime.

Conditions of Satisfaction

• User can specify temperature schedule from solver's API.
• The annealing schedule affects the temperature parameter value on the NEBM neuron model during runtime at the timesteps specified by the time series.
• The annealing schedule affects the noise amplitude for the SCIF neuron model during runtime at the timesteps specified by the time series.
• The temperature schedule works for both Loihi 2 and CPU backends

Acceptance Tests

• Solver offers an API to receive input timeseries as annealing schedule.
• Temperature value of the NEBM neuron model follows the annealing schedule through time.
• Noise amplitude of the SCIF neuron model follows the annealing schedule through time.

Tasks

• [x] [PS, 8ih] Device Loihi-compatible annealing schedule
• [x] [PS, 3ih] Write unit test based on DWave's annealing (NEAL).
• [x] [PS, 4ih] Add new variable across processes to take annealing schedule.
• [x] [PS, 3ih] Update neuron model to update temperature at given timesteps.

Lava version:

• [x] 0.3.0 (feature release)

I'm submitting a ...

• [x] feature request

Other information:

insert the output from lava debug here