Can quantum computers simulate the human brain?

I understand that "simulation" refers to the equivalence of quantum computers and human brain epitaxy, that is, it is functionally impossible to determine which is a human and which is a computer; Based on the above definition, I think it is possible. And not only quantum computers can, but ordinary computers can, any computational model equivalent to a Turing machine can. First of all, any physical process we know is computable, and the number of elementary particles in the universe is finite (even if it is infinite, according to the principle of locality, we can only simulate the observable universe, and the number of particles in the observable universe is still finite), then the physical processes of the whole universe are computable (the union of computable languages is still computable).

In this way, any Turing machine can completely simulate the entire universe. As long as the physicality of the human brain is recognized, then the human brain is computable and can be simulated by Turing machines. As a Turing-equivalent model, quantum computers must be able to simulate the human brain and even the whole universe.

Here are a few notes:

1.This is just a thought experiment and does not involve specific practice. I don't say that humans can build strong artificial intelligence.

2.A lot of people talk about chaos, but it's not incredibly calculable.

3.Simulations do not mean they can be solved accurately. For example, I can't predict exactly when an atom will decay, but I can simulate an atom decaying (and I can't accurately predict the decay time of the simulated atom without getting information from outside the system).

4.The equivalence of natural language and formal language is currently not proven or falsified by anyone. However, neural activity as a physical process is calculable, and natural language as a product of complex neural activity is not computable, which is completely unreasonable.

I think the ambiguity and expansiveness of natural language is due to the fact that natural language is at a high level of abstraction. For example, an x86 architecture CPU can only read x86 machine language, a formal language, but after we write the operating system and compiler for it, it can accept high-level languages such as C++ and Pascal, and if a virtual machine is implemented, it can also run dynamic languages such as Python, and further, we can write an interpreter that automatically updates the syntax. In this process, the computing power of the CPU does not improve, but the increase in the degree of abstraction of the software gives us some illusions:

Computers can now "operate in parallel", regardless of memory distribution, syntax changes, and so on. Natural language is this high-level language that is built on neural activity. Because different people's brains have different brain structures, natural language is interpreted differently (no matter how accurately described one person's pain is, it cannot make others feel the same pain), just as python statements running on different computers translate into different machine sentences.

He is just a stiff brain bubble compared to the human brain, we are blood supply, there is intracranial pressure, his is 380 to 220V voltage, the resistance is higher than that of humans, but the reaction is hundreds of times faster than ours, he can calculate our human body, and we can't calculate its maximum load value-added brain processing potential, this is the peak potential of contraction, human beings can't compare with it, or you are the power supply company, you will win because you can't pay the electricity bill and rent, haha.

The Physical System of the Universe has opened up a new set of human cognition of nature and explained the operating mechanism of nature.

There are questions about what capabilities quantum computers have, which are detailed below:

1. Quantum computer capabilities:

There is a question about what computing power quantum computers have, and the answer is that quantum computers have advanced computing power, and the biggest difference between quantum computers and traditional computers is that they can use the superposition and entangled states of qubits to perform calculations.

Whereas traditional computers need to decompose the problem into several small computing units and then calculate and solve it step by step, quantum computers can use the superposition and entangled states of qubits to perform parallel calculations, so that they have faster computing speed than traditional computers on some problems.

2. Performance of advanced computing ability:

Quantum computers can use superposition states of qubits to process multiple problems at the same time, and it can achieve exponential speedups on some problems compared to the serial processing methods of traditional computers.

Quantum computers can use quantum entangled differential entanglements to process complex problems in a high degree of parallelism, resulting in faster computational speeds than traditional computers on some problems.

Quantum computers can use quantum entangled states to realize the long-distance transmission of quantum information, so as to achieve safe and efficient information transmission in the field of quantum communication.

3. Introduction to Quantum Computers:

A quantum computer is a computer based on the principles of quantum mechanics, and the biggest difference between it and traditional computers is that it uses not bits but qubits, bits are units of information in traditional computers, which can only represent two states, 0 or bent 1, while qubits can represent both 0 and 1 states, and this state is called superposition.

Another important feature of quantum computers is quantum entanglement, two or more qubits can be entangled with each other, and the state of the Zen liquid skin is highly correlated, no matter how far away they are, as long as the state of one of the qubits changes, the state of the other qubits will also change, this property is called the long-distance transmission of quantum states.

Quantum computers are also very advantageous for the development of new drugs, as they can map trillions of molecular compositions and select the most likely methods among them, which will increase the speed at which new drugs can be invented and the pharmacological analysis can be more personalized.

The human brain is a quantum computer, a phenomenon called quantum decoherence.

To build a functioning quantum computer, you need to connect qubits, a process known as quantum entanglement. But the entangled quantum is in a very fragile state. They must be careful to avoid any disturbances from their surroundings.

In a quantum system, as long as one photon touches a qubit, it is enough for the entire system to dissipate, and the quantum state will be "decoherent" into a prosaic ordinary state, and the information stored in the quantum state will be lost and dissipated in the surrounding environment. Quantum processing in a tightly controlled laboratory environment is already challenging, not to mention the fact that in a warm, humid brain, the swaying crowd of molecules is like a hot pot of soup, making it nearly impossible to maintain coherence.

The human body is a holographic agent open to the environment and the universe. If you think of the human brain as a biological quantum computer or something, it is too pediatric - the depth of understanding of this view is not as deep as the understanding of yoga, and even less than the profound understanding of the Chinese medicine "comprehensive learning" of Chinese medicine Tianqi.

The human body (including the animal body) is actually a holographic sequenced agent composed of three levels and twelve systems. In this sequenced agent, the human brain actually plays the main role equivalent to the CPU of the computer, that is, the biological holographic processing function system. The holographic memory function, which is equivalent to a hard disk, is mainly composed of the cardiovascular system.

Therefore, the ancient Chinese understanding of "remembering the heart" more accurately points out the function.