Quantum computing and Nanoscale CAD

In summary, Steve Jurvetson points out that traditional computer aided design is not powerful enough to work at the quantum level in designing nanoscale systems. He mentions that quantum computing can easily handle these problems, resulting in an exact prediction of how a system will behave in nature, which is impossible for traditional computers due to the complex wave functions and advanced differential equations involved. This is similar to the computational intensity of Navier Stokes equations in fluid dynamics or calculating the evolution of the solar system. The reason classical computers cannot deal with quantum systems is due to the exponentially large hilbert spaces involved, making it difficult to simulate anything beyond simple systems. Feynman's idea of a quantum simulator, which mimics the interactions of quantum systems, is a
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Quantum computing and Nanoscale "CAD"

Reading a book on Nanotechnology and venture capitalist Steve Jurvetson makes the statement that traditional computer aided design, like one might use to test an airplane wing design, is not powerful enough to work at the quantum level in designing nanoscale systems. He writes:

"Although scientists have known for 100 years how to write down the equations an engineer needs to solve in order to understand any quantum system, no computer has ever been built powerful enough to solve them. Today's supercomputers choke on any system larger than a water molecule"

he goes on to say, without much elaboration that quantum computing can easily handle these sorts of problems resulting in "an exact prediction of how a system will behave in nature - something that is literally impossible for a traditional computer, no matter how powerful"

Question is what is he specifically referring to that is so computationally intensive and what is it about quantum computing that solves the problem so neatly?
 
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"an exact prediction of how a system will behave in nature - something that is literally impossible for a traditional computer, no matter how powerful"

Isn't this impossible regardless, according to Heisenberg's Uncertainty?
 
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Isn't this impossible regardless, according to Heisenberg's Uncertainty?
Well, he means an accurate prediction of how a system will behave, to within the levels of statistical deviation mandated by the HUP.

Question is what is he specifically referring to that is so computationally intensive and what is it about quantum computing that solves the problem so neatly?
The wave functions becomes ginormously complex when you get beyond the hydrogen atom. You need to solve the Schrodinger equation for the system, and that requires advanced differential equations, which computers are not good at solving.

I'm not sure why the computers can't simulate the systems using brute-force though, i.e., dividing time into very small slices and then noting how it behaves over time.
 
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peter0302 said:
Well, he means an accurate prediction of how a system will behave, to within the levels of statistical deviation mandated by the HUP.


The wave functions becomes ginormously complex when you get beyond the hydrogen atom. You need to solve the Schrodinger equation for the system, and that requires advanced differential equations, which computers are not good at solving.

I'm not sure why the computers can't simulate the systems using brute-force though, i.e., dividing time into very small slices and then noting how it behaves over time.


So is it like Navier Stokes equations in fluid dynamics - where there are not closed form solutions and the numerical solutions are computationally intensive?
 
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Precisely.

Or even calculating the evolution of the solar system (which, at least as of 2000 when I was getting my CS degree) was a big problem for computers.
 
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Well, the reason classical computers cannot deal with quantum systems is because, in order to simulate a given number of particles, you end up with exponentially large hilbert spaces (exponential in the number of particles).
This prevents anything realistic beyond very simple things to be simulated.

Which leads to the original Feynman idea. 10 atoms may be very hard to simulate, but nature actually known what to do with them, right? So nature is extremely powerful in computational power, otherwise it couldn't tell all these atoms how to interact, or their wave functions how to evolve.
Basically, the simplest idea is the quantum simulator original by Feynman and refined some years ago by Cirac, which basically amounts to engineer interactions among quantum systems such that the hamiltonian just looks like the system you want to simulate. That is today called "analog" quantum computer, and probably the first quantum computer that will be able to solve relevant problems.

Cheers,

Alex
 

FAQ: Quantum computing and Nanoscale CAD

What is quantum computing and how does it differ from classical computing?

Quantum computing is a form of computing that uses quantum-mechanical phenomena, such as superposition and entanglement, to perform operations on data. It differs from classical computing as it uses qubits (quantum bits) instead of classical bits, which allows for faster and more complex calculations.

What is nanoscale CAD and how is it used in quantum computing?

Nanoscale CAD (Computer-Aided Design) is the process of designing and creating structures at a nanoscale level. In quantum computing, it is used to design and fabricate the physical components of a quantum computer, such as qubits, which are crucial for the functioning of the device.

What are the potential applications of quantum computing and nanoscale CAD?

Quantum computing and nanoscale CAD have the potential to revolutionize various industries, such as healthcare, finance, and cybersecurity. They can be used for faster and more accurate drug discovery, financial modeling and prediction, and secure communication and data encryption.

What are some challenges in developing quantum computing and nanoscale CAD?

One of the major challenges in developing quantum computing and nanoscale CAD is the delicate and complex nature of quantum systems. Any external interference or error can cause the system to collapse, leading to inaccurate results. Additionally, the fabrication of nanoscale components is a technically challenging and expensive process.

How can quantum computing and nanoscale CAD be made more accessible to the general public?

One way to make quantum computing and nanoscale CAD more accessible is through education and awareness. By promoting STEM education and providing resources for learning about quantum technologies, more people can understand and contribute to its development. Additionally, advancements in technology and cost reduction can make quantum computing and nanoscale CAD more affordable and available to the general public.

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