D-Wave is one of the most advanced in this area. I've had it for a while and sold it and recently got into it again. If quantum computing then D-Wave for me.
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@TradingHase What makes you think that? I read in a technical report, of which I understood at most half of the technical details, that $QBTS doesn't really do quantum computing. At least that was the conclusion.
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@TradingHase Quantum annealing** D-Wave does not build quantum computers. IBM does.
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•@Multibagger Correct. D-Wave's solution is intended exclusively for optimization problems. NOT a general programmable quantum computer.
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•@Multibagger D Wave develops quantum computers and offers suitable cloud services and software.
If that's not quantum computing, I don't know what is. 😂
If that's not quantum computing, I don't know what is. 😂
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@TradingHase Is a calculator a computer for you? The computer can do everything a calculator can do, but not the other way around.
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•@Siytta Never seen a calculator with a cloud. Perhaps also a niche 😂
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•@TradingHase You're throwing around terms that you're probably misclassifying. You can book computing power in the cloud, this computing power can then be used GENERALLY, you could run any algorithm on it, e.g. a program that works like a calculator. You could also offer calculator services in the cloud, but these can then only perform calculations like a calculator and would not be suitable for general algorithms. A small analogy of what D-Wave offers.
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•@Siytta Maybe you're right that I'm misinterpreting the information on D-wave's website, because I'm obviously not as technically proficient in quantum computing as you might be.
I will try to understand this in more detail.
But maybe you can explain to me and I'm sure many others in a few simple sentences WHAT D-wave actually does in the end and maybe you have a tip on top about which companies are actually working in quantum computing.
I will try to understand this in more detail.
But maybe you can explain to me and I'm sure many others in a few simple sentences WHAT D-wave actually does in the end and maybe you have a tip on top about which companies are actually working in quantum computing.
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•@TradingHase D-Wave markets their solution in the best possible way, of course, so watch out for the following wording in their Advantage2: "This annealing quantum computer is (...)".
"Computer" is a very general term, you can also call a pocket calculator a computer. However, most people understand "computer" to mean something else.
"Annealing quantum computers" are quantum annealers, also called "adiabatic quantum computers", which also work with quantum bits, but do not allow an arbitrary connection of quantum bits by means of quantum gates. However, the arbitrary connection of quantum bits with each other is necessary if you want to program any quantum algorithms.
Adiabatic quantum computers can be used for optimization problems. Due to quantum parallelism, they are able to calculate optimization problems MUCH faster than the most powerful classical supercomputers that work with classical 0 and 1 bits.
However, as these are not freely programmable, the question arises as to whether they are really suitable for all optimization problems.
General quantum computers, such as those being developed by IBM, on the other hand, can freely connect all quantum bits to quantum gates. This ensures that they can, in principle, execute any quantum algorithm and calculate any algorithm for optimization problems.
So why are some companies developing quantum annealers at all? The technical challenges are smaller. A car that can only drive in a straight line is not as complex as a car with a steering wheel (exaggerated example) In the end, this means that IBM's solution covers a broader market, whereas D-Wave's solutions are probably ready to be sold successfully sooner.
I wrote my bachelor's thesis in 2023 on what is probably the best-known quantum algorithm (https://www.fh-aachen.de/menschen/schuba/abschlussarbeiten/sicherheits-und-funktionsuntersuchung-des-protokolls-opc-ua-matthias-paul-5-23-9-10-11-8 - don't ask me why the link is so stupid🫠), but since then I haven't really gotten into the subject and may be a bit outdated. At the time, I thought IBM's platform was the best, and I wrote my implementation of the quantum algorithm there. That's why I invested in IBM.
"Computer" is a very general term, you can also call a pocket calculator a computer. However, most people understand "computer" to mean something else.
"Annealing quantum computers" are quantum annealers, also called "adiabatic quantum computers", which also work with quantum bits, but do not allow an arbitrary connection of quantum bits by means of quantum gates. However, the arbitrary connection of quantum bits with each other is necessary if you want to program any quantum algorithms.
Adiabatic quantum computers can be used for optimization problems. Due to quantum parallelism, they are able to calculate optimization problems MUCH faster than the most powerful classical supercomputers that work with classical 0 and 1 bits.
However, as these are not freely programmable, the question arises as to whether they are really suitable for all optimization problems.
General quantum computers, such as those being developed by IBM, on the other hand, can freely connect all quantum bits to quantum gates. This ensures that they can, in principle, execute any quantum algorithm and calculate any algorithm for optimization problems.
So why are some companies developing quantum annealers at all? The technical challenges are smaller. A car that can only drive in a straight line is not as complex as a car with a steering wheel (exaggerated example) In the end, this means that IBM's solution covers a broader market, whereas D-Wave's solutions are probably ready to be sold successfully sooner.
I wrote my bachelor's thesis in 2023 on what is probably the best-known quantum algorithm (https://www.fh-aachen.de/menschen/schuba/abschlussarbeiten/sicherheits-und-funktionsuntersuchung-des-protokolls-opc-ua-matthias-paul-5-23-9-10-11-8 - don't ask me why the link is so stupid🫠), but since then I haven't really gotten into the subject and may be a bit outdated. At the time, I thought IBM's platform was the best, and I wrote my implementation of the quantum algorithm there. That's why I invested in IBM.
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•@Siytta Thank you for the explanation, which I think I have understood in principle. 🙈 In the end, what D-wave is developing is the next step, but it will still take some time?
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