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Quantum annealing is fraud
(Fig.1) Quantum annealing D-Wave is too error-prone to show quantum advantage. → illegitimately changed the standard for ( fake ) quantum advantage allowing erroneous answer. So No quantum advantage.
Quantum annealing or overhyped D-Wave is a fake quantum computer just finding the lowest ground-state optimal energy value from the inputted parameters without quantum computation.
This quantum annealing or D-Wave, which always gives wrong answers (= wrong local energy minima ), is useless, unable to outperform classical computers.
So D-Wave gave up using the erroneous quantum annealing machines, and started to rely on the deceptive hybrid quantum computer solvers ( this-p.10-2nd-last-paragraph ), which is just an ordinary classical computer to claim fake quantum advantage or speed-up.
No quantum computer advantage has been shown even in the latest researches ( this-p.1-abstract-last ).
This-report-p.1,p.3 (or this 4/2025 ) says
"a
former D-Wave engineer admitted to us, "there is No proof that any optimization problem is
solved faster" using D-Wave’s quantum systems... a wide range of D-Wave customers we interviewed in key verticals like logistics, manufacturing, and
pharmaceuticals reported seeing Zero benefit from the technology."
"D-Wave hides how hybrid solutions are almost entirely driven by classical algorithms"
↑ So D-Wave quantum annealing proved to be fraud just to raise stock price.
The 4-5th, 8th paragraphs of this overhyped news (4/30/2025) say
"definitive evidence of scaling improvements over classical methods has been elusive. This study shifts the focus from exact optimization ( where quantum advantage remains unproven = still No quantum advantage ) to approximate (= fake ) optimization" ← illegitimately change the "definition of quantum advantage"
"Rather than requiring exact optimal solutions, the study focused on finding solutions within a certain percentage (≥1%) of the optimal value (= some errors were allowed illegitimately )." ← because today's error-prone D-Wave quantum annealing can Not get the exact optimal value.
"the team implemented.. quantum annealing correction (QAC) on the D-Wave's processor,.. parallel tempering with isoenergetic cluster moves (PT-ICM = classical method ), the most efficient current classical algorithm for comparable problems (= though there are many other good classical methods )" .
↑ This research paper ↓
p.2-right- this research illegitimately changed the standard metric called the time-to-solution (= TTS ) for estimating the time required for machines getting the exact lowest-ground state optimal solution with 99% probability (= Not 100% exact solution ) into the new ad-hoc TTε allowing D-Wave to give more erroneous answers (= ε different from the exact answer ).
↑ "Slightly faster with more errors" is falsely treated as (fake) quantum advantage
p.4-right-1st-paragraph and Fig.2 showed QAC (= quantum annealing ) slightly surpassed the classical PT-ICM method when ε > 0.85% (= only when some amount of errors were permitted ) with respect to the time ( the smaller polynominal scaling α is better with less time required to reach some erroneous optimal answer, p.4-left-3rd-paragraph ) only in this very small impractical task.
↑ So in the normal standard requiring machines to get the exact optimal answer (= ε < 0.85% = still 99% exact answer though ), the error-prone quantum annealing (= QAC ) or D-Wave can never outperform the classical computer (= PT-ICM ) with less errors (= only classical computers can correct errors to get 100% exact answers ).
As a result, contrary to the overhyped misleading headline, the error-prone quantum annealing or D-Wave is useless, unable to outperform an ordinary errorless classical computer.
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