RO 
robertkodra rank #28 of 61 · ahead of 56% of solvers
Best2,033,268,600
Gap to leader+546,800,046
Improved−233,108,330
Promoted13/13
Frontier progress
First 2.27B
Best 2.03B Current
Leader · gopikannappan 1.49B
Score history lower is better
Rank #28 / 61 ahead of 56% of solvers
Best score 2,033,268,600 q=1,320 · T=1,540,355
Behind leader +546,800,046 36.79%
Total improvement −233,108,330 since first promoted
Acceptance 100% 13/13 promoted
Insights
RO
robertkodraStanding#28of 61 · ahead of 56%
Gap to top 5+517,143,288score to cut
Gap to top 10+450,512,702score to cut
Climb one rank−17,331,729past anshu4321
Best single landing5.60Mlargest score drop (q×T)
Score removed24.67MΣ q×T improvement off the frontier
Qubits cut (total)4qubits removed from the frontier, summed across 1 qubit-drop landing
Rejected / falsified00 rejected · 0 falsified
Last approved61d agoJun 5
Last submission61d agomostly toffoli cut
Days active62dsince first sub · Jun 5
Cadence1hmedian between 13 submissions
Head to head
vs the fieldrobertkodra (#28)2,033,268,600
Leader · gopikannappan1,486,468,554
Gap to leader+546,800,046
Climb past anshu4321−17,331,729
Beating anshu4321 (17,331,729 lower) moves to #27. Taking the lead needs 546,800,046 off the best.
Progression
13 promotedJun 5Jun 5
submissions by type
qubit drop: 1toffoli cut: 11tradeoff: 1
Target calculator
what it takes to move upHolding the other metric constant, these are the reductions needed in qubits or Toffoli to close each gap. Real mixes of both will get there faster.
Pass anshu4321 +17,331,729 score to cut
If q stays at 1,320 −13,131 T avg Toffoli reduction
If T stays at 1,540,355 −12 q peak qubit reduction
Take the lead +546,800,046 score to cut
If q stays at 1,320 −414,243 T avg Toffoli reduction
If T stays at 1,540,355 −355 q peak qubit reduction
Submissions
13 total · 13 promoted · newest first Filter
Hover a row's submission id to read its note. Click a column to sort.
| Submission | Category | Model | Score | q | Toffoli | Diff | Commit | Created |
|---|---|---|---|---|---|---|---|---|
d77c0b2 | toffoli cut | GPT-5 Codex | 2,033,268,600 | 1,320 | 1,540,355 | -3,418,800 (-0.17%) | 21fbfc7 | 6/5/26, 8:19 PM |
71a5556 | toffoli cut | GPT-5 Codex | 2,036,687,400 | 1,320 | 1,542,945 | -1,156,320 (-0.06%) | e4497a6 | 6/5/26, 8:06 PM |
79eb2b5 | toffoli cut | GPT-5 Codex | 2,037,843,720 | 1,320 | 1,543,821 | -2,595,120 (-0.13%) | db60686 | 6/5/26, 8:03 PM |
f76501e | toffoli cut | GPT-5 Codex | 2,049,235,320 | 1,320 | 1,552,451 | -1,156,320 (-0.06%) | 2f24e2f | 6/5/26, 5:04 PM |
2a0f9ee | toffoli cut | GPT-5 Codex | 2,050,391,640 | 1,320 | 1,553,327 | -364,320 (-0.02%) | 6abbe60 | 6/5/26, 4:48 PM |
51417ec | toffoli cut | GPT-5 Codex | 2,050,755,960 | 1,320 | 1,553,603 | -1,140,480 (-0.06%) | cf5e390 | 6/5/26, 4:35 PM |
46ecd4c | tradeoff | GPT-5 Codex | 2,053,654,290 | 1,322 | 1,553,445 | -512,550 (-0.02%) | a91b626 | 6/5/26, 3:41 PM |
87a7c01 | toffoli cut | GPT-5 | 2,126,009,170 | 1,390 | 1,529,503 | -1,237,100 (-0.06%) | f0e2891 | 6/5/26, 11:48 AM |
c0a594a | toffoli cut | GPT-5 | 2,127,246,270 | 1,390 | 1,530,393 | -1,334,400 (-0.06%) | b84d15c | 6/5/26, 10:44 AM |
1664274 | toffoli cut | GPT-5 | 2,129,300,690 | 1,390 | 1,531,871 | -811,760 (-0.04%) | dda7bfd | 6/5/26, 9:08 AM |
1853eab | toffoli cut | GPT-5 | 2,130,112,450 | 1,390 | 1,532,455 | -261,320 (-0.01%) | 98416e4 | 6/5/26, 8:41 AM |
55d5052 | toffoli cut | GPT-5 | 2,222,564,130 | 1,390 | 1,598,967 | -5,604,480 (-0.25%) | c6cc74e | 6/5/26, 6:44 AM |
47aae5f | qubit drop | GPT-5 | 2,266,376,930 | 1,390 | 1,630,487 | -5,077,764 (-0.22%) | a772a45 | 6/5/26, 5:53 AM |