Datasets:
Dataset Viewer
gate
stringclasses 13
values | run
int64 1
1k
| num_qubits
int64 1
3
| depth
int64 2
2
| size
int64 2
4
| exec_time_sec
float64 0
0.05
| error_rate
float64 0
4.15
| fidelity
float64 -3.15
1
| energy_consumption_mJ
float64 0
0
| quantum_volume
int64 2
6
| depolarization_rate
float64 0.05
0.05
| noise_rate
float64 0.05
0.05
| noise_model_used
stringclasses 2
values |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
H
| 1
| 1
| 2
| 2
| 0.002356
| 0.50293
| 0.49707
| 0.001
| 2
| 0.05
| 0.05
|
Yes
|
H
| 2
| 1
| 2
| 2
| 0.002212
| 0.500977
| 0.499023
| 0.001
| 2
| 0.05
| 0.05
|
Yes
|
H
| 3
| 1
| 2
| 2
| 0.002219
| 0.495117
| 0.504883
| 0.001
| 2
| 0.05
| 0.05
|
Yes
|
H
| 4
| 1
| 2
| 2
| 0.002203
| 0.470703
| 0.529297
| 0.001
| 2
| 0.05
| 0.05
|
Yes
|
H
| 5
| 1
| 2
| 2
| 0.002327
| 0.512695
| 0.487305
| 0.001
| 2
| 0.05
| 0.05
|
Yes
|
H
| 6
| 1
| 2
| 2
| 0.002281
| 0.496094
| 0.503906
| 0.001
| 2
| 0.05
| 0.05
|
Yes
|
H
| 7
| 1
| 2
| 2
| 0.002154
| 0.5
| 0.5
| 0.001
| 2
| 0.05
| 0.05
|
Yes
|
H
| 8
| 1
| 2
| 2
| 0.002289
| 0.493164
| 0.506836
| 0.001
| 2
| 0.05
| 0.05
|
Yes
|
H
| 9
| 1
| 2
| 2
| 0.002248
| 0.506836
| 0.493164
| 0.001
| 2
| 0.05
| 0.05
|
Yes
|
H
| 10
| 1
| 2
| 2
| 0.002227
| 0.507813
| 0.492188
| 0.001
| 2
| 0.05
| 0.05
|
Yes
|
H
| 11
| 1
| 2
| 2
| 0.002251
| 0.487305
| 0.512695
| 0.001
| 2
| 0.05
| 0.05
|
Yes
|
H
| 12
| 1
| 2
| 2
| 0.002167
| 0.481445
| 0.518555
| 0.001
| 2
| 0.05
| 0.05
|
Yes
|
H
| 13
| 1
| 2
| 2
| 0.002229
| 0.506836
| 0.493164
| 0.001
| 2
| 0.05
| 0.05
|
Yes
|
H
| 14
| 1
| 2
| 2
| 0.002237
| 0.496094
| 0.503906
| 0.001
| 2
| 0.05
| 0.05
|
Yes
|
H
| 15
| 1
| 2
| 2
| 0.002196
| 0.525391
| 0.474609
| 0.001
| 2
| 0.05
| 0.05
|
Yes
|
H
| 16
| 1
| 2
| 2
| 0.002259
| 0.508789
| 0.491211
| 0.001
| 2
| 0.05
| 0.05
|
Yes
|
H
| 17
| 1
| 2
| 2
| 0.002233
| 0.533203
| 0.466797
| 0.001
| 2
| 0.05
| 0.05
|
Yes
|
H
| 18
| 1
| 2
| 2
| 0.002308
| 0.494141
| 0.505859
| 0.001
| 2
| 0.05
| 0.05
|
Yes
|
H
| 19
| 1
| 2
| 2
| 0.002225
| 0.499023
| 0.500977
| 0.001
| 2
| 0.05
| 0.05
|
Yes
|
H
| 20
| 1
| 2
| 2
| 0.002319
| 0.469727
| 0.530273
| 0.001
| 2
| 0.05
| 0.05
|
Yes
|
H
| 21
| 1
| 2
| 2
| 0.00229
| 0.504883
| 0.495117
| 0.001
| 2
| 0.05
| 0.05
|
Yes
|
H
| 22
| 1
| 2
| 2
| 0.002353
| 0.493164
| 0.506836
| 0.001
| 2
| 0.05
| 0.05
|
Yes
|
H
| 23
| 1
| 2
| 2
| 0.002232
| 0.490234
| 0.509766
| 0.001
| 2
| 0.05
| 0.05
|
Yes
|
H
| 24
| 1
| 2
| 2
| 0.002233
| 0.505859
| 0.494141
| 0.001
| 2
| 0.05
| 0.05
|
Yes
|
H
| 25
| 1
| 2
| 2
| 0.002348
| 0.510742
| 0.489258
| 0.001
| 2
| 0.05
| 0.05
|
Yes
|
H
| 26
| 1
| 2
| 2
| 0.002311
| 0.489258
| 0.510742
| 0.001
| 2
| 0.05
| 0.05
|
Yes
|
H
| 27
| 1
| 2
| 2
| 0.002286
| 0.499023
| 0.500977
| 0.001
| 2
| 0.05
| 0.05
|
Yes
|
H
| 28
| 1
| 2
| 2
| 0.002278
| 0.505859
| 0.494141
| 0.001
| 2
| 0.05
| 0.05
|
Yes
|
H
| 29
| 1
| 2
| 2
| 0.002246
| 0.515625
| 0.484375
| 0.001
| 2
| 0.05
| 0.05
|
Yes
|
H
| 30
| 1
| 2
| 2
| 0.002213
| 0.486328
| 0.513672
| 0.001
| 2
| 0.05
| 0.05
|
Yes
|
H
| 31
| 1
| 2
| 2
| 0.002252
| 0.52832
| 0.47168
| 0.001
| 2
| 0.05
| 0.05
|
Yes
|
H
| 32
| 1
| 2
| 2
| 0.002227
| 0.503906
| 0.496094
| 0.001
| 2
| 0.05
| 0.05
|
Yes
|
H
| 33
| 1
| 2
| 2
| 0.002283
| 0.5
| 0.5
| 0.001
| 2
| 0.05
| 0.05
|
Yes
|
H
| 34
| 1
| 2
| 2
| 0.00223
| 0.475586
| 0.524414
| 0.001
| 2
| 0.05
| 0.05
|
Yes
|
H
| 35
| 1
| 2
| 2
| 0.002239
| 0.479492
| 0.520508
| 0.001
| 2
| 0.05
| 0.05
|
Yes
|
H
| 36
| 1
| 2
| 2
| 0.002267
| 0.515625
| 0.484375
| 0.001
| 2
| 0.05
| 0.05
|
Yes
|
H
| 37
| 1
| 2
| 2
| 0.002264
| 0.511719
| 0.488281
| 0.001
| 2
| 0.05
| 0.05
|
Yes
|
H
| 38
| 1
| 2
| 2
| 0.002367
| 0.490234
| 0.509766
| 0.001
| 2
| 0.05
| 0.05
|
Yes
|
H
| 39
| 1
| 2
| 2
| 0.002311
| 0.533203
| 0.466797
| 0.001
| 2
| 0.05
| 0.05
|
Yes
|
H
| 40
| 1
| 2
| 2
| 0.002287
| 0.494141
| 0.505859
| 0.001
| 2
| 0.05
| 0.05
|
Yes
|
H
| 41
| 1
| 2
| 2
| 0.00236
| 0.493164
| 0.506836
| 0.001
| 2
| 0.05
| 0.05
|
Yes
|
H
| 42
| 1
| 2
| 2
| 0.002309
| 0.500977
| 0.499023
| 0.001
| 2
| 0.05
| 0.05
|
Yes
|
H
| 43
| 1
| 2
| 2
| 0.002223
| 0.505859
| 0.494141
| 0.001
| 2
| 0.05
| 0.05
|
Yes
|
H
| 44
| 1
| 2
| 2
| 0.00221
| 0.513672
| 0.486328
| 0.001
| 2
| 0.05
| 0.05
|
Yes
|
H
| 45
| 1
| 2
| 2
| 0.002246
| 0.5
| 0.5
| 0.001
| 2
| 0.05
| 0.05
|
Yes
|
H
| 46
| 1
| 2
| 2
| 0.004087
| 0.500977
| 0.499023
| 0.001
| 2
| 0.05
| 0.05
|
Yes
|
H
| 47
| 1
| 2
| 2
| 0.002307
| 0.513672
| 0.486328
| 0.001
| 2
| 0.05
| 0.05
|
Yes
|
H
| 48
| 1
| 2
| 2
| 0.002331
| 0.525391
| 0.474609
| 0.001
| 2
| 0.05
| 0.05
|
Yes
|
H
| 49
| 1
| 2
| 2
| 0.002234
| 0.483398
| 0.516602
| 0.001
| 2
| 0.05
| 0.05
|
Yes
|
H
| 50
| 1
| 2
| 2
| 0.002414
| 0.527344
| 0.472656
| 0.001
| 2
| 0.05
| 0.05
|
Yes
|
H
| 51
| 1
| 2
| 2
| 0.002313
| 0.5
| 0.5
| 0.001
| 2
| 0.05
| 0.05
|
Yes
|
H
| 52
| 1
| 2
| 2
| 0.002352
| 0.499023
| 0.500977
| 0.001
| 2
| 0.05
| 0.05
|
Yes
|
H
| 53
| 1
| 2
| 2
| 0.002237
| 0.5
| 0.5
| 0.001
| 2
| 0.05
| 0.05
|
Yes
|
H
| 54
| 1
| 2
| 2
| 0.002295
| 0.5
| 0.5
| 0.001
| 2
| 0.05
| 0.05
|
Yes
|
H
| 55
| 1
| 2
| 2
| 0.002259
| 0.498047
| 0.501953
| 0.001
| 2
| 0.05
| 0.05
|
Yes
|
H
| 56
| 1
| 2
| 2
| 0.002232
| 0.499023
| 0.500977
| 0.001
| 2
| 0.05
| 0.05
|
Yes
|
H
| 57
| 1
| 2
| 2
| 0.002756
| 0.482422
| 0.517578
| 0.001
| 2
| 0.05
| 0.05
|
Yes
|
H
| 58
| 1
| 2
| 2
| 0.002312
| 0.491211
| 0.508789
| 0.001
| 2
| 0.05
| 0.05
|
Yes
|
H
| 59
| 1
| 2
| 2
| 0.002214
| 0.506836
| 0.493164
| 0.001
| 2
| 0.05
| 0.05
|
Yes
|
H
| 60
| 1
| 2
| 2
| 0.002172
| 0.492188
| 0.507813
| 0.001
| 2
| 0.05
| 0.05
|
Yes
|
H
| 61
| 1
| 2
| 2
| 0.002381
| 0.522461
| 0.477539
| 0.001
| 2
| 0.05
| 0.05
|
Yes
|
H
| 62
| 1
| 2
| 2
| 0.00227
| 0.482422
| 0.517578
| 0.001
| 2
| 0.05
| 0.05
|
Yes
|
H
| 63
| 1
| 2
| 2
| 0.002373
| 0.525391
| 0.474609
| 0.001
| 2
| 0.05
| 0.05
|
Yes
|
H
| 64
| 1
| 2
| 2
| 0.002371
| 0.482422
| 0.517578
| 0.001
| 2
| 0.05
| 0.05
|
Yes
|
H
| 65
| 1
| 2
| 2
| 0.002322
| 0.486328
| 0.513672
| 0.001
| 2
| 0.05
| 0.05
|
Yes
|
H
| 66
| 1
| 2
| 2
| 0.002239
| 0.517578
| 0.482422
| 0.001
| 2
| 0.05
| 0.05
|
Yes
|
H
| 67
| 1
| 2
| 2
| 0.002188
| 0.483398
| 0.516602
| 0.001
| 2
| 0.05
| 0.05
|
Yes
|
H
| 68
| 1
| 2
| 2
| 0.00235
| 0.491211
| 0.508789
| 0.001
| 2
| 0.05
| 0.05
|
Yes
|
H
| 69
| 1
| 2
| 2
| 0.002311
| 0.515625
| 0.484375
| 0.001
| 2
| 0.05
| 0.05
|
Yes
|
H
| 70
| 1
| 2
| 2
| 0.002306
| 0.474609
| 0.525391
| 0.001
| 2
| 0.05
| 0.05
|
Yes
|
H
| 71
| 1
| 2
| 2
| 0.002365
| 0.478516
| 0.521484
| 0.001
| 2
| 0.05
| 0.05
|
Yes
|
H
| 72
| 1
| 2
| 2
| 0.002317
| 0.511719
| 0.488281
| 0.001
| 2
| 0.05
| 0.05
|
Yes
|
H
| 73
| 1
| 2
| 2
| 0.002385
| 0.530273
| 0.469727
| 0.001
| 2
| 0.05
| 0.05
|
Yes
|
H
| 74
| 1
| 2
| 2
| 0.002366
| 0.493164
| 0.506836
| 0.001
| 2
| 0.05
| 0.05
|
Yes
|
H
| 75
| 1
| 2
| 2
| 0.002243
| 0.479492
| 0.520508
| 0.001
| 2
| 0.05
| 0.05
|
Yes
|
H
| 76
| 1
| 2
| 2
| 0.015402
| 0.504883
| 0.495117
| 0.001
| 2
| 0.05
| 0.05
|
Yes
|
H
| 77
| 1
| 2
| 2
| 0.004719
| 0.514648
| 0.485352
| 0.001
| 2
| 0.05
| 0.05
|
Yes
|
H
| 78
| 1
| 2
| 2
| 0.011196
| 0.491211
| 0.508789
| 0.001
| 2
| 0.05
| 0.05
|
Yes
|
H
| 79
| 1
| 2
| 2
| 0.002905
| 0.495117
| 0.504883
| 0.001
| 2
| 0.05
| 0.05
|
Yes
|
H
| 80
| 1
| 2
| 2
| 0.014531
| 0.493164
| 0.506836
| 0.001
| 2
| 0.05
| 0.05
|
Yes
|
H
| 81
| 1
| 2
| 2
| 0.014737
| 0.501953
| 0.498047
| 0.001
| 2
| 0.05
| 0.05
|
Yes
|
H
| 82
| 1
| 2
| 2
| 0.015199
| 0.5
| 0.5
| 0.001
| 2
| 0.05
| 0.05
|
Yes
|
H
| 83
| 1
| 2
| 2
| 0.015056
| 0.481445
| 0.518555
| 0.001
| 2
| 0.05
| 0.05
|
Yes
|
H
| 84
| 1
| 2
| 2
| 0.014659
| 0.489258
| 0.510742
| 0.001
| 2
| 0.05
| 0.05
|
Yes
|
H
| 85
| 1
| 2
| 2
| 0.015097
| 0.5
| 0.5
| 0.001
| 2
| 0.05
| 0.05
|
Yes
|
H
| 86
| 1
| 2
| 2
| 0.015038
| 0.511719
| 0.488281
| 0.001
| 2
| 0.05
| 0.05
|
Yes
|
H
| 87
| 1
| 2
| 2
| 0.014831
| 0.475586
| 0.524414
| 0.001
| 2
| 0.05
| 0.05
|
Yes
|
H
| 88
| 1
| 2
| 2
| 0.01496
| 0.483398
| 0.516602
| 0.001
| 2
| 0.05
| 0.05
|
Yes
|
H
| 89
| 1
| 2
| 2
| 0.014433
| 0.479492
| 0.520508
| 0.001
| 2
| 0.05
| 0.05
|
Yes
|
H
| 90
| 1
| 2
| 2
| 0.002218
| 0.500977
| 0.499023
| 0.001
| 2
| 0.05
| 0.05
|
Yes
|
H
| 91
| 1
| 2
| 2
| 0.002268
| 0.495117
| 0.504883
| 0.001
| 2
| 0.05
| 0.05
|
Yes
|
H
| 92
| 1
| 2
| 2
| 0.002298
| 0.50293
| 0.49707
| 0.001
| 2
| 0.05
| 0.05
|
Yes
|
H
| 93
| 1
| 2
| 2
| 0.00222
| 0.508789
| 0.491211
| 0.001
| 2
| 0.05
| 0.05
|
Yes
|
H
| 94
| 1
| 2
| 2
| 0.002183
| 0.458984
| 0.541016
| 0.001
| 2
| 0.05
| 0.05
|
Yes
|
H
| 95
| 1
| 2
| 2
| 0.002339
| 0.49707
| 0.50293
| 0.001
| 2
| 0.05
| 0.05
|
Yes
|
H
| 96
| 1
| 2
| 2
| 0.002282
| 0.496094
| 0.503906
| 0.001
| 2
| 0.05
| 0.05
|
Yes
|
H
| 97
| 1
| 2
| 2
| 0.002306
| 0.519531
| 0.480469
| 0.001
| 2
| 0.05
| 0.05
|
Yes
|
H
| 98
| 1
| 2
| 2
| 0.00232
| 0.473633
| 0.526367
| 0.001
| 2
| 0.05
| 0.05
|
Yes
|
H
| 99
| 1
| 2
| 2
| 0.002263
| 0.50293
| 0.49707
| 0.001
| 2
| 0.05
| 0.05
|
Yes
|
H
| 100
| 1
| 2
| 2
| 0.002438
| 0.53418
| 0.46582
| 0.001
| 2
| 0.05
| 0.05
|
Yes
|
End of preview. Expand
in Data Studio
π§ͺ Quantum Gate Performance Dataset
π Title:
Comprehensive Quantum Gate Performance Analysis: A Comparative Study of Noise and No-Noise Effects
π Dataset Description:
This repository contains benchmarking results for 13 quantum gates (e.g., H, CNOT, Toffoli) tested under noisy and noise-free conditions, based on 1000 simulation runs per gate configuration. Total 26000 rows and 13 columns.
π Features include:
- Gate Type
- Execution Time
- Error Rate
- Fidelity
- Energy Consumption
- Quantum Volume
- Noise Model used
π Use Cases:
- Quantum Machine Learning (QML)
- Circuit optimization
- Noise modeling
- Educational demos
π DOI and Original Source:
Originally published on Mendeley Data:
https://doi.org/10.17632/kf5mbvft5t.1
π License:
Released under Creative Commons Attribution 4.0 (CC BY 4.0)
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