Chapter 484: Huge workload

Chapter 484

Gu Lu hung up Simon's video call.

Regarding going to the University of Bonn as a visiting scholar, Gu Lu could only shirk it because of time.

This made Professor Lucas's wishful thinking a little empty.

But......

Gu Lu promised Simon that when he returned to the mathematical world again, he could go to Germany for a while.

Simon was very happy when he heard Gu Lu say this.

I don't know if it's because he can see Gu Lu again, or because Gu Lu is willing to come to their university.

After finishing the video call with Simon, Gu Lu flipped through the stack of experimental data on his desk.

There are a total of 11 experimental data sheets.

It includes a total of 11 experimental operations carried out by Academician Guo's team on this topic.

Eleven experiments, all of which ended in failure.

And eleven times it was all a complete failure.

Gu Lu simply flipped through the experimental data in his hand.

From this thick stack of materials, it is obvious that these eleven experiments were completely directionless.

There is no fixed pattern for the change of experimental parameters.

It's like a headless fly, wandering around without purpose.

It's exactly like a lottery-like experiment.

Enter a random string of experimental parameters into it, and wait for the draw.

The odds of winning the lottery are pitifully low.

Gu Lu frowned and flipped through the eleven experimental data throughout the whole process.

How to say it.

There are very few things that Gu Lu can learn from this.

Because not only did these experiments fail, but each time they were far from the desired results.

So after flipping through these data, Gu Lu only knew what not to do, but he didn't know how to do it correctly.

"Alas!"

With a sigh, Gu Lu put aside the thick stack of data materials.

From this pile of data materials, Gu Lu couldn't get any useful information at all.

Rather than that, it's better to think of your own solutions.

Gu Lu held his chin, looked at the computer screen in a daze, and began to think.

The spin-orbit coupling and net nuclear spin phenomena in graphene affect the number of qubits that can exist in graphene.

In order to increase the number of qubits that can exist inside graphene, this effect must be eliminated.

But how to eliminate it?

The eleven failed experimental data materials handed to him by Ai Liang prove that it is quite a difficult task to eliminate the net nuclear spin phenomenon in graphene materials.

The reason is simple.

Because the net nuclear spin is one of the important properties of the graphene nucleus.

The nucleus of an atom is made up of protons and neutrons, both protons and neutrons have definite spin angular momentum, and they also have orbital motion within the nucleus and accordingly have orbital angular momentum.

So the sum of these angular momentum is the spin angular momentum of the nucleus, which reflects the intrinsic properties of the nucleus.

Once the net nuclear spin site of the nucleus is eliminated, it obviously means that the properties of the graphene atom are eliminated.

The excellent conductivity of graphene as a semiconductor material will no longer exist.

This kind of thing of picking up sesame seeds and throwing watermelons is obviously not the original intention of improving the performance of graphene semiconductor materials.

But......

The net nuclear spin phenomenon does affect the number of qubits that can fit in a graphene semiconductor.

This becomes a very paradoxical question.

Eliminate the net nuclear spin phenomenon, and the excellent conductivity of graphene semiconductors will no longer exist.

But if it is not eliminated, the number of qubits that can be accommodated is rigidly limited.

Academician Guo's team thought of a theoretically feasible solution to this problem.

That is, the net nuclear spin site that does not completely eliminate the nucleus inside graphene, and only a part of it is eliminated.

This not only ensures the excellent conductivity of graphene itself, but also increases the number of qubits that can be accommodated.

But the ideal is very plump, and the reality is very skinny.

The eleven failed experimental records in front of Gu Lu are the evidence.

This solution is theoretically feasible though.

But the difficulty is to find the right balance between the two.

How much net nuclear spin needs to be eliminated to ensure that the number of qubits can be increased without compromising conductivity.

This 'quantity' is difficult for people to grasp.

Therefore, the previous eleven experiments of Academician Guo's team all ended in complete failure.

Moreover, in the eleven experimental data, seven or eight of them obtained the result that the graphene semiconductor not only lost its excellent conductivity, but also did not increase the number of qubits that can be accommodated.

Neither the fish nor the bear's paws were caught.

Gu Lu took out a few pieces of scratch paper from the side of the study, spread them flat on the table, used a pen to draw a diagram of the internal structure of graphene atoms on the scratch paper, and then listed a few formulas.

Gu Lu is trying to figure out where the equilibrium point is through the language of mathematics.

Lines of formulas were listed on paper by Gu Lu.

Half an hour later......

Gu Lu crumpled the unshaped, unshaped, and unformed scratch paper in front of him and threw it into the trash.

Then Gu Lu leaned back in the chair.

No, not at all!

Gu Lu's attempt ended in failure.

Because he found that through the derivation of formulas in mathematical language, the specific location of the equilibrium point could not be obtained at all.

At least not yet.

The reason for this is that there is simply too little experimental data to refer to.

With the support of very little experimental data, Gu Lu could not even derive a universal formula.

In this case, let alone to solve the equilibrium point.

Although there are a lot of experimental data in the eleven experiments that Ai Liang handed him, most of them are useless data, and the available data and parameters are too few.

As a result, the derivation of Gu Lu's formula could not be carried out at all.

Gu Lu began to try another way.

That is to build a mathematical model.

Open Matlab, Gu Lu typed the code, substituted the parameters, and quickly built a basic mathematical model.

Then Gu Lu clicked Run.

The results of the operation also did not satisfy Gu Lu.

Again, the reason is that there is too little data available.

"It seems that it still takes many experiments to do it!" Gu Lu rubbed his chin with his hand and said softly.

But......

Gu Lu realized another problem.

If you really want to get effective data by taking multiple experiments, isn't it exactly the same as the method used by Academician Guo's team.

However, it takes a lot of time to conduct such an experiment, and there is no guarantee that the data obtained from each experiment will be valid.

Because the location of that 'equilibrium point' is in a fairly large range.

In all likelihood, after five experiments, only one set of valid data will be obtained.

This is too inefficient.

Moreover, according to Gu Lu's estimate, to build a complete mathematical model, at least nearly 50 sets of effective experimental data are needed.

That's a lot of work......

It's a little too big!