Sergey Frolov🇺🇦 Profile picture
Mar 14, 2022 9 tweets 5 min read Read on X
When you meet a colleague at #apsmarch, you discuss each other's work, family and war in 🇺🇦.
Then you may say 'oh, have you seen ...' I suggest the subject of that discussion my work with @VincentMourik on investigating unreliable research on the topic of Majorana.
A summary 🧵 Image
1. The retracted Nature paper from last year is widely known. But do you know that there are several others hopefully headed in the same direction? They are...

2. A second @Nature paper from Delft including a lot of the same authors as the first one, currently under 'Editor's note'. Should be retracted:

3. A two-part @NatureComms + @NatureNano saga on 'Ballistic' Majorana. We have already shared a full post-publication analysis on the first part, the second part has...
4. The second part, in @NatureNano , has all the same problems as the first part, and should be retracted as well:

5. It is not just Delft, @QuTech_news , but also another @MSFTQuantum center in Copenhagen, which has published this paper we take apart in a 38-page post publication review.

Retraction will be necessary!

When it comes to the Copenhagen team, we have questions about several other papers, but the PI Charlie Marcus refuses to share data. The papers don't add up though, from the physics point of view and from what we know about these nanowires. Image
6. Last but not least, the infamous 'Chiral Majorana' paper @UCLA. Widely panned and praised at the time. It is totally unreliable and MUST be retracted immediately @ScienceMagazine . This is from a different research group and not investigated by us

7. TO BE CONTINUED. @VincentMourik and I have questions about other papers.

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More from @spinespresso

Feb 17, 2022
Amazing passage from @QuTech_news external review report in 2019, by @RHDijkgraaf (the new Dutch minister of science) & Co.

Every paper mentioned, except the 2012 one, is now known to have undisclosed data manipulation. 4 out of 5 we recommended to be retracted:
Nature Nanotechnology 2018 - myself and @vincentmourik recommend retraction

Nature 2017 - we recommend retraction (paper is under ‘Editor’s note’)

Read 7 tweets
Dec 13, 2021
We found another Delft paper unreliable - Nature Nanotechnology 2018🧵. The stated innovation of this work is in the word 'ballistic'. (Majorana evidence echoes earlier work and is based on zero-bias peaks.) What is the meaning of 'ballistic' here?

nature.com/articles/s4156…
According to authors, there are no quantum dots (claim familiar from Nature 2017) and there is 'quantized conductance' (familiar from Nature 2018). Illustrated by Fig1d (black trace plateau at 1) and quotes from the text.

We cannot confirm this central 'ballistic' claim. ImageImage
When we uncrop Fig1 using Zenodo data (zenodo.org/record/4721357) the first thing we find is vertical resonances indicative of quantum dots. This contradicts 'ballistic' transport electrons fly smoothly through the wire. Quantum dots are puddles that hold and scatter particles. Image
Read 10 tweets
Mar 14, 2021
I celebrate #PiDay2021 in my own way. To me pi will always be about this. Image
My first physics result: "Measurement of the Current-Phase Relation of SFS pi-Josephson junctions" with magnificent junctions from Chernogolovka, and experiments done in Urbana: arxiv.org/abs/cond-mat/0…
We also hunted second-order Josephson effect at 0-pi transition, where that randomly wiggling purple trace is. I did not find it. I remember Leggett asking 'why is he graduating?'. The team found it shortly after I left. But it took 10 years to publish! arxiv.org/abs/1805.12546 Image
Read 4 tweets
Mar 11, 2021
The most important figure in the retracted 'Quantized Majorana Conductance' paper was Figure 2e. A tiny technical panel based on the same raw data as the infamous 'plateau'. What's the big deal? Read on... Image
First, let's take it in. You see how perfectly the red datapoints all line up at 1 (the quantized value). Members of the Academic Community already memed about it: even the totally commanding theory could not get so close to 1. Image
Another thing we noticed that was strange: if these data came from the 'plateau' trace, why so few data points? And also, how come in panel e they are all pinned to 1 but panel b from which they were taken shows about 10% scatter around 1? Image
Read 7 tweets

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