Another Australian company and using a similar approach as Silicon Quantum Computing:Some coverage at: www.afr.com/technology/start-up-says-it-will-have-a-quantum-computer-by-2028-20240219-p5f64k
Through the company Silicon Quantum Computing, this has been Australia's national quantum computing focus.
This can be used to detect the ionization of air by radiation , see e.g. youtu.be/CZ7DoLLwW04?t=76 from Video "Ions produced by radiation carry a current by Institute of Physics".
sqc.com.au/2024/02/08/silicon-quantum-computing-demonstrates-high-fidelity-initialisation-of-nuclear-spins-in-a-4-qubit-device/ points to one of their papers: www.nature.com/articles/s41565-023-01596-9 High-fidelity initialization and control of electron and nuclear spins in a four-qubit register
Their approach seems to be more precisely called: Kane quantum computer and uses phosphorus embedded in silicon.
They come from the University of New South Wales.
Organization developing nuclear magnetic resonance quantum computer by
Ciro Santilli 35 Updated 2025-04-18 +Created 2024-12-23
Nuclear magnetic resonance quantum computer by
Ciro Santilli 35 Updated 2025-04-18 +Created 2024-12-23
They have some amazingly long market analysis lists/tables there e.g.:
- quantum computing players: quantumcomputingreport.com/players/
- quantum computer parameters: quantumcomputingreport.com/qubit-count/. TODO I think this was open in the past, but as of 2024 it was paywalled.
Some of their resources are open, others closed.
Find the most interesting research topic that no one is researching by
Ciro Santilli 35 Updated 2025-04-18 +Created 2024-12-23
Some cases:
- Marie Curie according to Video "Marie Curie section of The Mystery of Matter episode 2" at youtu.be/wbuDmY5gpXQ?t=2041 she specifically avoided more generic X-ray research, and went instead for radioactivity
Generating test data for full text search tests by
Ciro Santilli 35 Updated 2025-04-18 +Created 2024-12-23
For example, at docs.ourbigbook.com/news/article-and-topic-id-prefix-search article search was added, but it only finds if you search something that appears right at the start of a title, e.g. for:you'd get a hit for:but not for
Fundamental theorem of calculus
fundamental
calculus
But finding a clean way to generate test data for testing out the speedup was not so easy and exploration into this led me to publishing a few new slightly improved methods where Googlers can now find them:
- unix.stackexchange.com/questions/97160/is-there-something-like-a-lorem-ipsum-generator/787733#787733 I propose a neat random "sentence" generator using common CLI tools like
grep
andsed
and the pre-installed Ubuntu dictionary/usr/share/dict/american-english
:grep -v "'" /usr/share/dict/american-english | shuf -r | paste -d ' ' $(printf "%4s" | sed 's/ /- /g') | sed -e 's/^\(.\)/\U\1/;s/$/./' | head -n10000000 \ > lorem.txt
- to achieve that, I also proposed two superior "join every N lines" method for the CLI: stackoverflow.com/questions/25973140/joining-every-group-of-n-lines-into-one-with-bash/79257780#79257780, notably this awk poem:
seq 10 | awk '{ printf("%s%s", NR == 1 ? "" : NR % 3 == 1 ? "\n" : " ", $0 ) } END { printf("\n") }'
- to achieve that, I also proposed two superior "join every N lines" method for the CLI: stackoverflow.com/questions/25973140/joining-every-group-of-n-lines-into-one-with-bash/79257780#79257780, notably this awk poem:
- stackoverflow.com/questions/3371503/sql-populate-table-with-random-data/79255281#79255281 I propose:
- a clean PostgreSQL random string stored procedure that picks random characters from an allowed character list
CREATE OR REPLACE FUNCTION random_string(int) RETURNS TEXT as $$ select string_agg(substr(characters, (random() * length(characters) + 1)::integer, 1), '') as random_word from (values('ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789- ')) as symbols(characters) join generate_series(1, $1) on 1 = 1 $$ language sql;
- first generating PostgreSQL data as CSV, and then importing the CSV into PostgreSQL as a more flexible method. This can also be done in a streaming fashion from stdin which is neat.
python generate_data.py 10 | psql mydb -c '\copy "mytable" FROM STDIN'
- a clean PostgreSQL random string stored procedure that picks random characters from an allowed character list
- stackoverflow.com/questions/16020164/psqlexception-error-syntax-error-in-tsquery/79437030#79437030 regarding the safe generation of prefix search
tsquery
from user inputs without query errors, I've learned aboutwebsearch_to_tsquery
and further highlighted a possibletsquery -> text -> tsquery
approach that might be correct for prefix searches - stackoverflow.com/questions/67438575/fulltext-search-using-sequelize-postgres/79439253#79439253 I put everything together into a minimal Sequelize example, read for usage in OurBigBook
Finally I did a writeup summarizing PostgreSQL full text search: Section "PostgreSQL full-text search" and also dumped it at: www.reddit.com/r/PostgreSQL/comments/12yld1o/is_it_worth_using_postgres_builtin_fulltext/ for good measure.
This is a section about Test tagger 21!
For example, this sentence. And then another one.
This is a section about Test tagger 20!
For example, this sentence. And then another one.
This is a section about Test tagger 19!
For example, this sentence. And then another one.
This is a section about Test tagger 18!
For example, this sentence. And then another one.
This is a section about Test tagger 17!
For example, this sentence. And then another one.
This is a section about Test tagger 16!
For example, this sentence. And then another one.
Pinned article: ourbigbook/introduction-to-the-ourbigbook-project
Welcome to the OurBigBook Project! Our goal is to create the perfect publishing platform for STEM subjects, and get university-level students to write the best free STEM tutorials ever.
Everyone is welcome to create an account and play with the site: ourbigbook.com/go/register. We belive that students themselves can write amazing tutorials, but teachers are welcome too. You can write about anything you want, it doesn't have to be STEM or even educational. Silly test content is very welcome and you won't be penalized in any way. Just keep it legal!
Intro to OurBigBook
. Source. We have two killer features:
- topics: topics group articles by different users with the same title, e.g. here is the topic for the "Fundamental Theorem of Calculus" ourbigbook.com/go/topic/fundamental-theorem-of-calculusArticles of different users are sorted by upvote within each article page. This feature is a bit like:
- a Wikipedia where each user can have their own version of each article
- a Q&A website like Stack Overflow, where multiple people can give their views on a given topic, and the best ones are sorted by upvote. Except you don't need to wait for someone to ask first, and any topic goes, no matter how narrow or broad
This feature makes it possible for readers to find better explanations of any topic created by other writers. And it allows writers to create an explanation in a place that readers might actually find it.Figure 1. Screenshot of the "Derivative" topic page. View it live at: ourbigbook.com/go/topic/derivativeVideo 2. OurBigBook Web topics demo. Source. - local editing: you can store all your personal knowledge base content locally in a plaintext markup format that can be edited locally and published either:This way you can be sure that even if OurBigBook.com were to go down one day (which we have no plans to do as it is quite cheap to host!), your content will still be perfectly readable as a static site.
- to OurBigBook.com to get awesome multi-user features like topics and likes
- as HTML files to a static website, which you can host yourself for free on many external providers like GitHub Pages, and remain in full control
Figure 2. You can publish local OurBigBook lightweight markup files to either OurBigBook.com or as a static website.Figure 3. Visual Studio Code extension installation.Figure 5. . You can also edit articles on the Web editor without installing anything locally. Video 3. Edit locally and publish demo. Source. This shows editing OurBigBook Markup and publishing it using the Visual Studio Code extension. - Infinitely deep tables of contents:
All our software is open source and hosted at: github.com/ourbigbook/ourbigbook
Further documentation can be found at: docs.ourbigbook.com
Feel free to reach our to us for any help or suggestions: docs.ourbigbook.com/#contact