The most common example I’ve heard of for application of QC is national security applications for breaking encryption codes.Will Quantum Computing Change Day-Trading for the Users of Technical Analysis?
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The D-Wave 2000Q™ System
The most advanced quantum computer in the world
https://www.dwavesys.com/d-wave-two-system
D-Wave Systems
https://en.wikipedia.org/wiki/D-Wave_Systems
On the impact of quantum computing technology on future developments in high-performance scientific computing
https://link.springer.com/article/10.1007/s10676-017-9438-0
"Conclusion
. . . In our opinion, quantum-enhanced scientific computing is an exciting new field that has the highest chances to become a game-changing technology if quantum hardware gets integrated into conventional HPC systems and used as special-purpose accelerators for those tasks for which efficient quantum algorithms exist. Approaches like quantum-accelerated cloud services are required to bring practical quantum computers to the stakeholders from industry and academia, which will help quantum computing as possible next-generation compute technology to pass the valley of death.
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The most common example I’ve heard of for application of QC is national security applications for breaking encryption codes.
That said I could see it having a potential impact on high frequency trading. But for a swing trader who’s not trying to necessarily compete with speed I don’t see how it would have an impact.
HFT wise, normal high end computers more than fast enough for the job, the issue is the data ping times, not the CPU.
Depends on what you define as normal high end. Speed of the CPU does matter in hft. 5Ghz+ single core CPU performance is what most top hft firms employ these days.
Not a lot of data to crunch, mainly just looking at Level 2 data and front running orders for tiny profits.
I'd bet wayyyy under 1ms per trade.
Also, who's to say Quantum could actually perform that kinda task.
i do not believe quantum computing will be reality for long time in the future. it could be useful for very limited task where middle status of computing is not needed, and pure random generator as an example.
At doing a very specific and limited task, which is pretty much never actually required in the real world.
Even then it's only faster, faster doesn't equal AI or enable a computer to predict 1 minute ahead for trading.
10,000 years to compute without, definately sounds 100% real to me LOL
AI is currently just clever codes that mimics in very limit ways AI, it's never going to be real AI, not in my life time anyway, just university's talking BS to justify there grant money IMHO!!
In hft the current speed limitations are not on the hardware but software side.
Lots of misinformed opinions on quantum computing. I am a computer scientist by education and trade so I'll try to enlighten some of the more bad ones. My specializations are computational mathematics so I only have a graduate-class level view of quantum tech.
This is generally correct. The size of the machines and technology currently required is very limited but promising. Quantum technology is already used, and is one of the only true random number generators on the market. This isn't really "quantum computing" but more using the strange properties of matter at that scale to create a truly random event to sample.
One of the more meaningful, direct, applications of quantum computing is Shor's Algorithm which will render all modern cryptography worthless.
Accurately predicting one minute ahead isn't kneecapped by computation it's kneecapped by the fundamental properties of probability.
However, as for AI, the general consensus in the applied fields is that we are at a computational cliff currently where deep neural networks are simultaneously impossible to understand and very difficult to compute. Complicated matrix operations (the kind you find in advanced probability theory) on classic architectures have generally intractable big O values. A good example is the laplace expansion of a matrix which has a run time of O(n!), basically impossible to compute quickly. Whereas quantum computing will not reduce the mathematical upper bound of complicated matrix operations, adding horsepower to each calculation will still provide some tangible improvement. This leads directly to solving problems in AI faster, such as stochastic gradient descent.
I'm certainly onboard with "complicated math problems are not true AI", however I will not be surprised if we have something close to in the next few decades. We have already simulated rat brains and currently the fundamental limitation of this research is the size of the data and scale of the computational power required for more complicated creatures. We are actually limited almost entirely by our classical computing architecture and quantum computing holds a lot of promise in solving this.
This has not been what I have heard. ASICs are deployed regularly by many firms (Jane Street is one of note) because modern general hardware is too slow.
So according to Gaussian quantum computers can possibly operate in a fundamentally different way to current computers , it's not just speed?