Debugging sucks. But there's also nothing quite that "oh fuck, that's why it doesn't work" moment, which happens after you have examined and placed everything that is relevant to the problem into your brain. You just can't see it coming. It just happens. You just learn what you generally have to look at so it happens faster.
Binds an amino acid to the correct corresponding tRNA sequence. Wikipedia mentions that humans have 20 of them, one for each proteinogenic amino acid.
The most comprehensive list is the amazing curated and commented list of quantum algorithms as of 2020.
They seem to be doing hardware acceleration for post-quantum cryptography algorithm.
One has to feel bad for them as they likely threw out entire chip designs over NIST Post-Quantum Cryptography Standardization algorithm breakeges.
HP Blade Server by Brian Kirsch (2013)
Source. Featuring an HP DL380 blade server, presumably an older model of this series: buy.hpe.com/uk/en/servers/proliant-dl-servers/proliant-dl300-servers/proliant-dl380-server/hpe-proliant-dl380-gen10-server/p/1010026818.
In the video we can see that it contains RAM, disk storage, we are told about two CPUs, and networking interfaces, so it is a complete computer on its own. He also explains that unlike typical rack servers, each blade unit does not have its own coolers and power supply related hardware, which goes instead on the chassis.
Surprisingly, it can also become a superfluid even though each atom is a fermion! This is because of Cooper pair formation, just like in superconductors, but the transition happens at lower temperatures than superfluid helium-4, which is a boson.
aps.org/publications/apsnews/202110/history.cfm: October 1972: Publication of Discovery of Superfluid Helium-3 contains comments on the seminal paper and a graph which we must steal.
Suppose we specify:The question then is, which transaction is encoded at that position of the file?
- a .dat file
- the offset in bytes within that file
This would allow us to index inscriptions in the .dat files directly with fast C tools, and then retrive the transaction ID to get cleaner data and metadata.
It should be possible if we managed to take the information from bitcoindev.network/understanding-the-data/ and dump into an indexed SQLite database.
I tried to start things off with LevelDBDumper:but that consumed all 64 GB of RAM on P51... github.com/mdawsonuk/LevelDBDumper/issues/15
LevelDBDumper -d ~/snap/bitcoin-core/common/.bitcoin/indexes/txindex -f btc.csv -q -o . -t csvBut OK, nevermind that repo, it can be done easily with the LevelDB API of any language: bitcoin.stackexchange.com/questions/121888/what-is-the-data-format-layout-for-txindex-leveldb-values. Just the data seems wrong and we don't know why.
TODO clear example of the computational problem that it solves.
A unique projective space can be defined for any vector space.
The definition is to take the vector space, remove the zero element, and identify all elements that lie on the same line, i.e.
The most important initial example to study is the real projective plane.
www.quora.com/Why-do-successful-geeky-white-men-have-Asian-wives-This-seems-to-be-the-norm-in-Silicon-Valley suggests it is just an statistical inevitability.
This is a neologism by Ciro Santilli, it refers to the fact that Zatoichi was not fully blind, but extremely hard of sight, which makes him:and metaphorically refers to similar situations where a person or group of people are in the middle of two groups and not part of either of them.
- too capable for the blind people, who did not trust him
- too incapable for non-blind people, who despised him
A related thing that comes to mind is Aum Shinrikyo's Prophet Shoko Asahara, who was semi blind, and would bully the fully blind people of his school for blind people.
- quantumtech.blog/2023/01/17/quantum-computing-with-neutral-atoms/ OK this one hits it:So we understand that it is truly like the classical computer analog vs digital case.
As Alex Keesling, CEO of QuEra told me, "... whereas in gate-based [digital] quantum computing the focus is on the sequence of the gates, in analog quantum processing it's more about the position of the atoms and where you place them so they can mirror real life problems. We arrange the atoms and define the forces that drive them and then measure the result... so it’s a geometric encoding of the problem itself."
- thequantuminsider.com/2022/06/28/why-analog-neutral-atoms-quantum-computing-is-a-promising-direction-for-early-quantum-advantage on The Quantum Insider useless article mostly by Pasqal
TensorFlow quantum by Masoud Mohseni (2020)
Source. At the timestamp, Masoud gives a thought experiment example of the perhaps simplest to understand analog quantum computer: chained double-slit experiments with carefully calculated distances between slits. Calulating the final propability distribution of that grows exponentially.This is actually pretty good! Makes a small first step into The missing link between basic and advanced.
By the Simons Foundation.
Unfortunatly does not use a free license for content.
This is one of the first examples in most quantum field theory.
It usually does not involve any forces, just the interpretation of what the quantum field is.
www.youtube.com/watch?v=zv94slY6WqY&list=PLSpklniGdSfSsk7BSZjONcfhRGKNa2uou&index=2 Quantization Of A Free Real Scalar Field by Dietterich Labs (2019)
There is no fundamental difference between them, a quantum algorithm is a quantum circuit, which can be seen as a super complicated quantum gate.
Perhaps the greats practical difference is that algorithms tend to be defined for an arbitrary number of N qubits, i.e. as a function for that each N produces a specific quantum circuit with N qubits solving the problem. Most named gates on the other hand have fixed small sizes.
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