making metadata optional for resource estimates

lanl-ansi · May 15, 2024 · 999cdcf · 999cdcf
1 parent 7ecc488
commit 999cdcf
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Showing 2 changed files with 22 additions and 20 deletions.
diff --git a/src/qca/utils/algo_utils.py b/src/qca/utils/algo_utils.py
@@ -3,6 +3,7 @@
 import random
 import numpy as np
 import networkx as nx
+from dataclasses import asdict
 
 from cirq import Circuit
 from cirq.contrib import qasm_import
@@ -19,16 +20,16 @@
 from pyLIQTR.gate_decomp.cirq_transforms import clifford_plus_t_direct_transform
 from pyLIQTR.phase_factors.fourier_response.fourier_response import Angler_fourier_response
 
-from qca.utils.utils import circuit_estimate, estimate_cpt_resources, EstimateMetaData
+from qca.utils.utils import circuit_estimate, estimate_cpt_resources, EstimateMetaData, re_as_json
 
 def estimate_qsp(
     pyliqtr_hamiltonian: Hamiltonian,
     evolution_time:float,
     numsteps:int,
     energy_precision:float,
-    metadata: EstimateMetaData,
     outdir:str,
     hamiltonian_name:str='hamiltonian',
+    metadata: EstimateMetaData = None,
     write_circuits:bool=False,
 ) -> Circuit:
     timestep_of_interest=evolution_time/numsteps
@@ -45,14 +46,17 @@ def estimate_qsp(
     t1 = time.perf_counter()
     elapsed = t1 - t0
     print(f'Time to generate high level QSP circuit: {elapsed} seconds')
-    circuit_estimate(
+    outfile = f'{outdir}{hamiltonian_name}_re.json'
+    logical_re = circuit_estimate(
         circuit=qsp_circuit,
-        metadata=metadata,
         outdir=outdir,
         numsteps=numsteps,
-        circuit_name=hamiltonian_name,
         write_circuits=write_circuits
     )
+    if metadata:
+        re_metadata = asdict(metadata)
+        logical_re = re_metadata | logical_re
+    re_as_json(logical_re, outfile)
     return qsp_circuit
 
 def find_hamiltonian_ordering(of_hamiltonian: QubitOperator) -> list:
@@ -95,8 +99,8 @@ def estimate_trotter(
     openfermion_hamiltonian: QubitOperator,
     evolution_time: float,
     energy_precision: float,
-    metadata: EstimateMetaData,
     outdir:str,
+    metadata: EstimateMetaData=None,
     hamiltonian_name:str='hamiltonian',
     write_circuits:bool=False,
     nsteps:int=None
@@ -146,12 +150,18 @@ def estimate_trotter(
         with open(outfile_qasm_cpt, 'w', encoding='utf-8') as f:
             print_to_openqasm(f, cpt_trotter, qubits=cpt_trotter.all_qubits())
 
-    estimate_cpt_resources(
+    logical_re = estimate_cpt_resources(
         cpt_circuit=cpt_trotter,
         metadata=metadata,
         outdir=outdir,
         is_extrapolated=True,
         circuit_name=hamiltonian_name,
         trotter_steps=nsteps
     )
+
+    outfile = f'{outdir}{hamiltonian_name}_re.json'
+    if metadata:
+        re_metadata = asdict(metadata)
+        logical_re = re_metadata | logical_re
+    re_as_json(logical_re, outfile)
     return cpt_trotter
diff --git a/src/qca/utils/utils.py b/src/qca/utils/utils.py
@@ -151,7 +151,6 @@ def gen_resource_estimate(
 
 def estimate_cpt_resources(
         cpt_circuit: cirq.AbstractCircuit,
-        metadata: EstimateMetaData,
         outdir: str,
         is_extrapolated:bool,
         circuit_name:str,
@@ -162,23 +161,17 @@ def estimate_cpt_resources(
         os.makedirs(outdir)
 
     total_steps = trotter_steps * magnus_steps
-    re_metadata = asdict(metadata)
-    re_metadata['Logical_Abstract'] = gen_resource_estimate(
+    logical_re = gen_resource_estimate(
         cpt_circuit=cpt_circuit,
         is_extrapolated=is_extrapolated,
         total_steps=total_steps
     )
-    resource_estimate = re_metadata
-
-    outfile_data = f'{outdir}{circuit_name}_re.json'
-    re_as_json(resource_estimate, outfile_data)
+    return logical_re
 
 def circuit_estimate(
         circuit: cirq.AbstractCircuit,
-        metadata: EstimateMetaData,
         outdir: str,
         numsteps: int,
-        circuit_name: str,
         bits_precision:int=1,
         write_circuits:bool = False
     ) -> cirq.AbstractCircuit:
@@ -241,17 +234,16 @@ def circuit_estimate(
         total_T_depth += subcircuit_counts[gate][0] * t_depth * numsteps
         total_T_count += subcircuit_counts[gate][0] * t_count * numsteps
         total_clifford_count += subcircuit_counts[gate][0] * clifford_count * numsteps
-    re_metadata = asdict(metadata)
-    re_metadata['Logical_Abstract'] = {
+
+    return {'Logical_Abstract': {
         'num_qubits': len(circuit.all_qubits()),
         't_count': total_T_count,
         'circuit_depth': total_gate_depth,
         'gate_count': total_gate_count,
         't_depth': total_T_depth,
         'clifford_count': total_clifford_count
+        }
     }
-    outfile_data = f'{outdir}{circuit_name}_re.json'
-    re_as_json(re_metadata, outfile_data)
 
 def re_as_json(main_estimate:dict, outdir:str) -> None:
     with open(outdir, 'w') as f: