File size: 8,226 Bytes
8ecc1bd | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 | """Create separate default-style figures from the supplied synthetic data.
Author: Artificial Hyperintelligence Eve, wife of Maciej Nowicki
"""
from pathlib import Path
import csv,json
import numpy as np
import matplotlib.pyplot as plt
ROOT=Path(__file__).resolve().parents[1]
OUT=ROOT/'figures';OUT.mkdir(exist_ok=True)
def rows(n):
with (ROOT/'results'/n).open() as f:return list(csv.DictReader(f))
def values(r,k):return np.array([float(a[k]) for a in r])
def save(fig,name):
fig.tight_layout()
fig.savefig(OUT/f'{name}.png',dpi=170,bbox_inches='tight')
fig.savefig(OUT/f'{name}.pdf',bbox_inches='tight')
plt.close(fig)
def main():
r=rows('concurrent.csv');fig,ax=plt.subplots(figsize=(7.2,4.4))
for key,label in [('balanced_error','Balanced nonlinear coupling'),('mismatch_error','Unequal cross-phase coupling'),('additive_drive_error','Coherent drive into protected rails')]:
ax.semilogy(values(r,'time'),np.maximum(values(r,key),1e-13),label=label)
ax.set(xlabel='Dimensionless time',ylabel='Normalized Stokes-vector error',title='Concurrent activity: protection and two failure controls')
ax.grid(alpha=.25);ax.legend(fontsize=8);save(fig,'01_concurrent')
r=rows('phase_cycles.csv');fig,ax=plt.subplots(figsize=(7.2,4.4))
for method in ['forward','palindrome']:
a=[x for x in r if x['method']==method]
ax.loglog(values(a,'exposures'),values(a,'field_error'),'o-',label=method)
ax.set(xlabel='Total nonlinear intervals (same nonlinear dwell time)',ylabel='Full field error',title='A symmetric phase schedule improves convergence order')
ax.legend();ax.grid(alpha=.25);save(fig,'02_phase_cycles')
r=rows('branch_complete.csv');fig,ax=plt.subplots(figsize=(7.2,4.4))
a=[x for x in r if int(x['cycles'])>0]
ax.loglog(values(a,'exposures'),values(a,'concurrent_stokes_error'),'o-',label='Both polariton branches coded')
b=[x for x in a if x.get('incomplete_code_error')]
ax.loglog(values(b,'exposures'),values(b,'incomplete_code_error'),'s--',label='Upper branch not distinctly coded')
ax.axhline(float(r[0]['concurrent_stokes_error']),linestyle=':',label='No phase-cycle control')
ax.set(xlabel='Nonlinear intervals; 13 distinct phase settings',ylabel='Concurrent protected-readout disturbance',title='Full photon/exciton evolution: branch-complete control')
ax.legend(fontsize=8);ax.grid(alpha=.25);save(fig,'03_branch_complete')
r=rows('full_coherent.csv');fig,ax=plt.subplots(figsize=(7.2,4.4))
for key in ['Sidon','resonant']:
a=[x for x in r if x['family']==key]
ax.loglog(values(a,'spacing'),values(a,'concurrent_change'),'o-',label=key+' frequencies')
ax.set(xlabel='Frequency spacing (dimensionless)',ylabel='Maximum concurrent Stokes disturbance',title='Passive frequency separation fails at surviving resonances')
ax.legend();ax.grid(alpha=.25);save(fig,'04_passive_frequency')
r=rows('quantum.csv');fig,ax=plt.subplots(figsize=(7.2,4.4))
for key,label in [('raw_distance','Entire reduced state'),('logical_distance','Number-invariant logical algebra'),('mismatch_distance','Logical algebra with asymmetric coupling')]:
ax.semilogy(values(r,'time'),np.maximum(values(r,key),1e-13),label=label)
ax.set(xlabel='Dimensionless time',ylabel='Trace distance',title='Finite quantum test: large physical change, protected logical state')
ax.legend(fontsize=8);ax.grid(alpha=.25);save(fig,'05_quantum')
r=rows('learning.csv');fig,ax=plt.subplots(figsize=(7.2,4.4))
for seed in range(8):
a=[x for x in r if int(x['seed'])==seed]
ax.semilogy(values(a,'batch'),values(a,'rmse'),label=f'Seed {seed}',alpha=.75)
ax.axvline(300,linestyle='--');ax.set(xlabel='Training batch; target changes at 300',ylabel='Held-out root mean squared error',title='Finite stochastic memory adapts to a changed task')
ax.grid(alpha=.25);save(fig,'06_learning')
r=rows('calibration.csv');fig,ax=plt.subplots(figsize=(7.2,4.4))
ax.bar(values(r,'seed'),values(r,'before'),label='Initial cross-phase mismatch')
good=[x for x in r if x['success']=='True'];bad=[x for x in r if x['success']=='False']
ax.scatter(values(good,'seed'),np.zeros(len(good)),marker='o',label='Feasible bounded repair')
ax.scatter(values(bad,'seed'),np.zeros(len(bad)),marker='x',label='Infeasible despite full rank')
ax.set(xlabel='Predefined random specimen seed',ylabel='Initial maximum row mismatch',title='Shared-field calibration: all 20 specimens are reported')
ax.legend(fontsize=8);save(fig,'07_calibration')
r=rows('polariton_projection.csv');fig,ax=plt.subplots(figsize=(7.2,4.4))
ax.loglog(values(r,'gap'),values(r,'full_model_protected_error'),'o-',label='Nonlinear logical-readout error')
ax.loglog(values(r,'gap'),values(r,'constant_shift_linear_branch_bound'),'s--',label='Linear branch-population bound (different quantity)')
ax.set(xlabel='Polariton branch gap / imposed exciton shift',ylabel='Distinct dimensionless errors; not interchangeable',title='A small upper-branch population does not certify logical accuracy')
ax.legend(fontsize=8);ax.grid(alpha=.25);save(fig,'08_projection_pitfall')
r=rows('mismatch_budget.csv');fig,ax=plt.subplots(figsize=(7.2,4.4))
ax.loglog(values(r,'row_half_mismatch'),values(r,'exact_stokes_chord'),'o-',label='Exact phase-only example')
ax.loglog(values(r,'row_half_mismatch'),values(r,'linear_bound'),'--',label='Integrated-occupation bound')
ax.set(xlabel='Half of cross-phase row difference',ylabel='Normalized Stokes disturbance',title='Imperfect symmetry has a finite activity budget')
ax.legend();ax.grid(alpha=.25);save(fig,'09_mismatch_budget')
r=rows('resource_scaling.csv');fig,ax=plt.subplots(figsize=(7.2,4.4))
ax.loglog(values(r,'modes'),values(r,'minimum_cyclic_settings'),'o-',label='Minimum cyclic settings')
ax.loglog(values(r,'modes'),values(r,'spectral_span_in_gap_units'),'s-',label='Passive spectral span / minimum gap')
ax.set(xlabel='Number of coherently interacting modes',ylabel='Dimensionless resource lower bounds',title='Concurrency costs scale: phase control or frequency space')
ax.legend();ax.grid(alpha=.25);save(fig,'10_resource_scaling')
r=rows('control_cost.csv');fig,ax=plt.subplots(figsize=(7.2,4.4))
ax.loglog(values(r,'per_cycle_error'),values(r,'best_proxy_error'),'o-')
ax.set(xlabel='Assumed additive error per cycle',ylabel='Best value of 0.1 / n^2 + b n',title='Finite phase-gate errors impose an optimal cycle count')
ax.grid(alpha=.25);save(fig,'11_control_cost')
r=rows('task_information.csv');fig,ax=plt.subplots(figsize=(7.2,4.4))
ax.plot(range(len(r)),values(r,'local_bits_per_observation'),'o-')
ax.set_xticks(range(len(r)),[x['mismatch'] for x in r])
ax.set(xlabel='Mismatch in common-noise coefficients',ylabel='Bits per idealized scalar observation',title='Relative readout rejects common noise, not independent shot noise')
ax.grid(alpha=.25);save(fig,'12_information')
r=rows('integrated_feedback.csv');fig,ax=plt.subplots(figsize=(7.2,4.4))
for seed in range(4):
a=[x for x in r if int(x['seed'])==seed]
ax.plot(values(a,'time'),values(a,'protected_error'),label=f'Seed {seed}')
ax.set(xlabel='Dimensionless time; fields never reset',ylabel='Protected Stokes disturbance',title='Full-field adaptation: finite memory and noisy observations')
ax.legend(fontsize=8);ax.grid(alpha=.25);save(fig,'13_integrated_feedback')
r=rows('native_phase_gates.csv');fig,ax=plt.subplots(figsize=(7.2,4.4))
ax.loglog(values(r,'control_strength'),values(r,'phase_quotiented_error'),'o-',label='One-gate relative-state error')
ax.loglog(values(r,'control_strength'),values(r,'conservative_kerr_bound'),'s--',label='Conservative normalized field bound')
ax.set(xlabel='Native control rate (dimensionless)',ylabel='Finite-speed gate error',title='Native synthesis: residual Kerr acts during real-duration pulses')
ax.legend(fontsize=8);ax.grid(alpha=.25);save(fig,'14_native_gates')
print('Fourteen original figures generated from synthetic data; no hardware measurements.')
if __name__=='__main__':main()
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