feat: Final code to run multimode circuit with tf backend (#5) * chore: refactor probabilities and tested sampling * chore: integrated optimization * chore: integrated optimization * chore: plotting probs * chores: added plotting * chores: intregate plotting * chore: executed results * chore: results with larger codewords * chores: added tf * chores: added tf and sampling shots * chores: tested tf * chores: passed tests tf * chores: results with tf * chores: computed tf probs * chore: removed unused imports * chores: added pickle * chores: run experiments * refactor: add circuit and engine * chore: added results * chore: results * chore: added results * chores: refactor engine and circuit * chores: fix tf with refactor * chore: added results optimized two params * chores: results from one layer and disp + squezz * chores: added interferometer * chores: added universal multimode * chores: fixed typo * chore: added batch and codeword classes * feat: added multimode architecture * chores: computed marginal probability * chore: implemented multimode probability * chores: tested for one mode probabilities * build: removing mypy * chore: tested probs 1 mode (fock, gaus) * chores: testing tf * chore: fixed for tf * chore: fixed typing * chore: printing title to plots * feat: implemented parallel processing * chore: allocate necessary gpu memory only * chore: remove timing * chore: limit parallel based on gpu memory * chore: result fock 1 mode squeezing * chore: result fock 1 mode no squeezing * chore: parallel results * chore: tf mode 2 s:true result * chore: plotting computation time * chore: added tf in parallel * chore: tf result in parallel * chore: fock results * chores: using batches size as only the possible words combinations * fix: using random word flag correctly * chores: increased learning rate for smaller alphas * chores: removed specific learning rate * chores: pHom for n modes * chore: added number_modes * chores: cutoff variable of alpha * chores: fix creation var * chores: cutoff variable for all backends * chores: updated parallel experiment * feat: added global results * chores: add global path * chores: add alphas path * chores: global results prep * chores: global results * chores: added plots * chores: results * chores: load results * chores: 3 mode results * chores: using params correct names * chores: plotting results with squeezing * chores: add squeezing * chores: official results modes=1 * chores: l.steps and cutoff for dim>3 * chors: results from modes 2 * chores: fix name creation * chores: added ancillas to the circuit creation * chores: added ancillas to plots * chores: assign paramaters to a circuit with ancilla modes * chores: create input and output batches and codewords * chores: using input and output codewords * feat: implemented ancilla architecture with one input mode * feat: add guess strategy move noise to ancillas * refactor: using cutoff, l_rate, l_steps with 3 options * chores: prepared to launch * chores: tested with no ancilla 1 mode * chores: updated ignore * chores: tested with ancillas measurement * chores: selecting results based on minimum distance to homodyne * chores: print a nice squared value * chores: estimated remaining time * chores: results plotes from ancillas * chores: plotting correctly with ancillas * chores: add one alpha * chores: adding one specific alpha * chores: filter to only new results * chores: results with 5 modes * chores: added 5 mode results * chores: plotting line styles for fixed alphas * chores: added colours * chores: plotting helstrom * feat: added interactive plot * chores: plotting interactive results and aligned colours * chore: prepared results in a notebook * chores: restyling plots * chores: plotted results * fix: computed remaining time * chores: starting high values at 0.6 * fix: typo on title * chores: updated helstrom and logs * chores: updated helstrom and log without abs * chores: not limit set * chores: plotting phels with several modes * chore: interactive one alpha * feat: coded tf sampling * chores: initial changes from testing tape * chores: using minimize * chores: fix more tf operators * chores: computes without crash * chores: some checks * chores: using again tape * chores: watching all vars but still with a warning * chores: computing prob from mean_photons (WIP) * chores: using mean photons * feat: computing mean photons error * feat: train & test implementation * chores: initial results * chores: removed logging * fix: set seconds < 1 * chores: train & test for tf probabilities * chores: tested with probs and sampling * feat: launching one mode experiments * feat: using sampling with mixed scipy & tf backend * chores: testing the theory * chores: implemented manual mesurement * chores: starting the testing * chores: tested with one mode * chores: backing up results from fock_prob * chores: results * chores: updated instructions * chores: upload results * chores: added mode 6 and ancillas up to 3 * chores: adjusted plots w/ legend right and squezzing * chores: updated results * initial commit * build: setup ssl web api * build: pass local http calls * chores: added jupyterlab * chores: added jupyterdata * build: added new requirements * build: set library on root * chores: updated to sf 0.21 api * chores: updated to sf 0.21 api * build: added new requirement * build: add cuda support * build: using ubuntu:20.04 * feat: added ddbb model structures * feat: added ddbb structure * chores: implemented add and get instances from database * feat: added get execution results * wip: ddbb * feat: added codebooks * chores: fixed max channel computation * feat: implemented codebooks * fix: using a fix to solve sf bug when using tf with a batch of 1 * using helstrom instead of homodyne to compare results * results from codebooks * fix: accepting batches with len=1 * fix: using output with the same size than input * chores: fix computing the output matrices for input codebooks * chores: scale probabilities to the input codebooks possible * chores: using all possible codebooks from a batch * chores: set function call inside the inner loop * feat: using ancillas with codebooks * chores: added remaining time for codebooks * chores: updated exp * chores: set a better remaining time plot * feat: added a maximum number of codebook combinations * chores: results with codebooks * fix: set correct color name * feat: new results * feat: implemented linear codes * chores: log max & min prob * chores: filtering information bits > 0 * chores: continue to next iteration when codebooks size is 0 * chores: remove print * chores: updated branch * chores: removed cuda from jupyterlab * chore: printing current codebook * chores: results from linear codes * feat: added binary code to codeword * feat: computed ideal homodyne and helstrom taking into account linear codes * feat: implemented top5 best codeboooks * chore: using measurements * feat: build a top5 best codebooks * feat: write best codebook to global results file * chores: fix plot when no probs are computed * feat: plotting best codewords results * feat: using train & test again * chores: added m5 results * chores: reestructured results to train & testing * refactor: using train and testing results * refactor: created results for train & test separately * results from testing modes 5 * perf: added optimized parameters as the resulting cvs file * feat: printing best circuit to output and file * chores: updated directory name * writing testing and training results * chores: fix success probability * add circuit tex directory and execution plots * setting testing default to True * fix printing * chores: new results with optimized parameters * chores: added training directory * fix: plotting correctly homo & helstrom probs * chores: results from 2 to 5 modes from training and testing * fix: correcting circuit with squeezing=False * fix: computing maximum likelihood with linear codes * chores: added example * feat: computing maximum likelihood from a batch * feat: adapted to maximum likelihood * chores: created new utils directory to avoid circular import * fix: :bug: guessed codeword is the best output codeword associated with the input * perf: * fix: :memo: storing best measurements as a dict * chore: using testing when creating a circuit * chore: creating codebooks * feat: testing directly from optimized parameters * fix: printing optimized parameters as dict * test: added more testing * fix: batch_sizre * chore: add results * added black config * added latest results * add support for 8 modes * feat: add polar codes direct train&test * using polar codes * chore: simulate all codebooks or using linear codes * left only the library as a service * removed file * added instructions for running the simulation