| |
| """Evaluate and export the calibrated 30-dimensional returned-memory gate. |
| |
| Example: python3 memory_activation.py --visibility .5 --save memory_activation_v05.npz |
| This is an ideal-model matrix generator, not a laboratory hardware controller. |
| """ |
| import argparse,json |
| import numpy as np |
| from verify_v6_sideinfo import physical_model,margins |
|
|
| def main(): |
| p=argparse.ArgumentParser(description=__doc__) |
| p.add_argument('--visibility',type=float,required=True) |
| p.add_argument('--save',help='Optional NPZ file for unitary, states and bare Hamiltonian') |
| a=p.parse_args() |
| try:U,initial,final,H=physical_model(a.visibility) |
| except ValueError as exc:p.error(str(exc)) |
| _,s0,_=margins(initial);_,sf,wf=margins(final) |
| result={'visibility':a.visibility,'physical_dimension':30, |
| 'pulse_success_numerical':min(1.,max(0.,float(wf[1,1].real))), |
| 'pulse_success_raw_roundoff':float(wf[1,1].real)-min(1.,max(0.,float(wf[1,1].real))), |
| 'exact_capacity':min(1,(4-2*a.visibility)/3), |
| 'battery_ergotropy_in_gap_units':min(1.,max(0.,2*float(wf[1,1].real)-1)), |
| 'memory_return_max_entry_error':float(np.max(abs(sf-s0))), |
| 'unitarity_max_entry_error':float(np.max(abs(U.conj().T@U-np.eye(30)))), |
| 'energy_commutator_max_entry_error':float(np.max(abs(U@H-H@U))), |
| 'model':'Prepared fixed-energy source; receiver-local memory; calibrated conserving unitary; consumed source correlations', |
| 'scope':'Memory marginal returns; dephasing environment and source restoration are paid resources; no autonomous cycle or hardware demonstration'} |
| if a.save: |
| np.savez_compressed(a.save,unitary=U,initial_state=initial,final_state=final,bare_hamiltonian=H,visibility=a.visibility) |
| result['matrix_file']=a.save |
| print(json.dumps(result,indent=2)) |
|
|
| if __name__=='__main__':main() |
|
|
