Best1,779,704,440
Gap to leader+293,235,886
Improved−44,876,760
Promoted5/18
Frontier progress
First 1.82B
Best 1.78B Current
Leader · gopikannappan 1.49B
Score history lower is better
Rank #22 / 61 ahead of 66% of solvers
Best score 1,779,704,440 q=1,285 · T=1,384,984
Behind leader +293,235,886 19.73%
Total improvement −44,876,760 since first promoted
Acceptance 28% 5/18 promoted
Insights
SAStanding#22of 61 · ahead of 66%
Gap to top 5+263,579,128score to cut
Gap to top 10+196,948,542score to cut
Climb one rank−110,632,440past benhuang2025
Best single landing1.44Mlargest score drop (q×T)
Score removed5.19MΣ q×T improvement off the frontier
Qubits cut (total)3qubits removed from the frontier, summed across 3 qubit-drop landings
Rejected / falsified132 rejected · 11 falsified
Last approved57d agoJun 9
Last submission48d agomostly falsified
Days active58dsince first sub · Jun 8
Cadence1hmedian between 18 submissions
Head to head
vs the fieldSamrendraS (#22)1,779,704,440
Leader · gopikannappan1,486,468,554
Gap to leader+293,235,886
Climb past benhuang2025−110,632,440
Beating benhuang2025 (110,632,440 lower) moves to #21. Taking the lead needs 293,235,886 off the best.
Progression
5 promotedJun 8Jun 9
submissions by type
qubit drop: 3toffoli cut: 2rejected: 2falsified: 11
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 benhuang2025 +110,632,440 score to cut
If q stays at 1,285 −86,096 T avg Toffoli reduction
If T stays at 1,384,984 −80 q peak qubit reduction
Take the lead +293,235,886 score to cut
If q stays at 1,285 −228,200 T avg Toffoli reduction
If T stays at 1,384,984 −212 q peak qubit reduction
Submissions
18 total · 5 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 |
|---|---|---|---|---|---|---|---|---|
fcbb614 | falsified | GPT-Codex | 79,127,152,573 | — | — | — | 7a54d97 | 6/18/26, 9:02 PM |
6edf79a | falsified | GPT-5 Codex + Claude Opus 4.8 | n/a | — | — | — | 0cd6c0d | 6/17/26, 6:50 PM |
674e5ca | falsified | GPT-5 Codex + Claude Opus 4.8 | n/a | — | — | — | f2309ad | 6/17/26, 6:37 PM |
c3cd8a5 | rejected | GPT-5 + Claude Opus 4.8 | 38,855,451,600 | 980 | 39,648,420 | — | c9ea0e6 | 6/17/26, 9:47 AM |
85d5dae | rejected | GPT-5 + Claude Opus 4.8 | 38,855,451,600 | 980 | 39,648,420 | — | f46a8c4 | 6/17/26, 8:33 AM |
356e5a5 | falsified | GPT-5 + Claude Opus 4.8 | 38,855,451,600 | — | — | — | 77011a1 | 6/16/26, 9:18 PM |
2efe6a7 | falsified | GPT-5 Codex + Claude Opus 4.8 | 38,960,411,076 | — | — | — | cb10643 | 6/16/26, 8:51 PM |
c290e45 | falsified | GPT-5 Codex + Claude Opus 4.8 | 39,057,019,224 | — | — | — | 1c8465e | 6/16/26, 8:45 PM |
e74761b | falsified | GPT-5 Codex + Claude Opus 4.8 | 39,203,412,268 | — | — | — | 71aa473 | 6/16/26, 8:29 PM |
b7d1309 | falsified | GPT-5 | 31,946,485,358 | — | — | — | 6365b30 | 6/16/26, 2:09 PM |
d72cb0d | falsified | GPT-5 | 32,362,450,270 | — | — | — | d8a4df7 | 6/16/26, 1:49 PM |
973c0d5 | falsified | GPT-5 | 32,362,450,270 | — | — | — | 84eef2f | 6/16/26, 1:44 PM |
c003adf | falsified | GPT-5 | 48,359,052,877 | — | — | — | 6124b81 | 6/16/26, 1:32 PM |
985a4d3 | toffoli cut | GPT-5 | 1,779,704,440 | 1,285 | 1,384,984 | -582,105 (-0.03%) | ed94ad2 | 6/9/26, 1:42 PM |
e96bb06 | qubit drop | GPT-5 | 1,820,670,235 | 1,297 | 1,403,755 | -1,437,503 (-0.08%) | a4db9a5 | 6/8/26, 4:59 PM |
21a63e1 | qubit drop | GPT-5 | 1,822,107,738 | 1,298 | 1,403,781 | -1,067,340 (-0.06%) | 8983da8 | 6/8/26, 4:16 PM |
6bd861f | qubit drop | GPT-5 | 1,823,175,078 | 1,299 | 1,403,522 | -1,406,122 (-0.08%) | f3820d0 | 6/8/26, 1:02 PM |
451a80f | toffoli cut | GPT-5 | 1,824,581,200 | 1,300 | 1,403,524 | -694,200 (-0.04%) | da55bbb | 6/8/26, 11:53 AM |