Table 5 Analysis of state fidelity (\(\mathcal {F}_S\)) derived from \({\mathcal {QST}}\) experiments conducted on the GSA, encompassing both single-search and two-search oracles. The experiments are performed across various environments: Noise-free, Noisy, and on IBM Quantum’s 127-qubit superconducting quantum computers. Furthermore, the analysis includes hypothesis testing and \(95\%\) CI for the population mean (\(\mu\)) and variance (\(\sigma ^2\)).

From: Characterizing Grover search algorithm on large-scale superconducting quantum computers

Marked State

\(\mathcal {F}_S\) \({\mathcal {QST}}\) (Noise-free)

\(\mathcal {F}_S\) \({\mathcal {QST}}\) (Noisy settings)

\(\mathcal {F}_S\) \({\mathcal {QST}}\) (IBM Quantum)

Single-search (010)

0.9946673

0.7394261

0.4923291

Single-search (101)

0.9946291

0.7380571

0.5388754

Two-search (000, 111)

0.9956002

0.7827690

0.5721854

Two-search (101, 110)

0.9922922

0.8085018

0.4923291

Two-search (111, 101)

0.9921588

0.8376049

0.6894187

Mean

0.993870

0.7813

0.5432

StDev

0.001551

0.0434

0.0990

SE Mean

0.000694

0.01194

0.0443

t-test (95% CI)

(0.9919,  0.9957)

(0.7274,  0.8352)

(0.4205,  0.6661)

Hypothesis tests (Mean\(^1\))

P-value: 0.999

0.999

1.000

95% CI StDev

(0.00093,  0.00446)

(0.0260,  0.1247)

(0.05930,  0.02845)

95% CI Variance

(0.000001,  0.00002)

(0.00068,  0.01556)

(0.00352,  0.08093)

Hypothesis tests (Variance\(^2\))

P-value: 0.812

0.812

0.812

  1. \(^1\)The null and alternative hypothesis for the mean are: \(\mu =0.9938\) vs \(\mu \ne 0.9938\), \(\mu =0.7813\) vs \(\mu \ne 0.7813\), and \(\mu =0.5432\) vs \(\mu \ne 0.5432\), respectively. \(^2\)The null and alternative hypothesis for the variance are: \(\sigma =0.00155\) vs \(\sigma \ne 0.00155\), \(\sigma =0.04340\) vs \(\sigma \ne 0.0434\), and \(\sigma =0.09900\) vs \(\sigma \ne 0.099\), respectively