EPJ Quantum Technology

Table 2 Comparison for feature vector length for benchmark test circuits

From: On the optimality of quantum circuit initial mapping using reinforcement learning

Benchmark	Number of logical CNOTs	Feature Vector Length
Benchmark	Number of logical CNOTs	Huang et al. [13]	RL
clip_206	14,772	14,772	380
cm85a_209	4986	4986	380
cycle10_2_110	2648	2648	380
dist_223	16,624	16,624	380
hwb6_56	2952	2952	380
hwb7_59	10,681	10,681	380
hwb8_113	30,372	30,372	380
mlp4_245	8232	8232	380
radd_250	1405	1405	380
rd73_252	2319	2319	380
rd84_253	5960	5960	380
root_255	7493	7493	380
sao2_257	16,864	16,864	380
sym10_262	28,084	28,084	380
sym9_148	9408	9408	380
sym9_193	15,232	15,232	380
Urf1_278	26,692	26,692	380
Urf2_277	10,066	10,066	380
Urf5_280	23,764	23,764	380

Back to article page