In recent years, incidents related to universal quantum computers have frequently appeared in the newspapers. Companies such as IBM (International Business Machines), Google, and Intel have rushed to announce that they have completed a higher number of qubits, but dozens or even a large number of qubits. If there is no full interconnection, the precision is insufficient and the mistakes cannot be corrected, general-purpose quantum computing is still difficult to achieve.
In contrast, simulation of quantum computing can immediately build quantum system software without relying on complicated quantum corrections. As the core of a powerful optimization algorithm for simulating quantum computing, the quantum walk in two-dimensional space can match the daily tasks of special calculations to the mutual coupling coefficient drainage matrix in the quantum evolution space. When the quantum evolution management system can be made large enough and can be designed flexibly, it can be used to complete many optimization algorithms and calculation tasks, showing a far better performance than traditional computers.
How is the quantum chip different from the current integrated circuit chip?
Quantum chips carry out quantum computing, while data integrated circuit chips carry out data calculations. The two chips are different.
In the data integrated circuit chip, high and low power frequencies represent 0 and 1 in the binary algorithm, and logic gates composed of transistors and MOS transistors are used to carry out logic operations.
Unlike integrated circuit chips, quantum chips need to perform quantum calculations. Two different quantum states |0> and |1> represent 0 and 1 in the quantum optimization algorithm. Quantum calculations performed by quantum chips must also have Relative quantum logic gates, compared with digital circuit design, can carry out superposition state calculation and superposition state storage.
Here, I will mainly explain the calculation and storage of the superposition state.
For a function f(x), we need to bring 100 x values and get 100 results. I would like to ask how many times must be measured?
In the classic calculation, the answer is very simple. It counts 100 times and counts once with an x value.
But in the calculation of the quantum chip, it only needs to be counted once.
Because in the calculation step of the quantum chip, the measurement module is a qubit composed of quantum states, so all x values are all quantized, and 100 x values can be accumulated into a mixed state, which can be measured once in the quantum chip. A mixed state of 100 results can be obtained, and then through a certain precise measurement, a result that matches the x value can be obtained.
Then the corresponding superposition state storage is easier to understand, 100 x values can be mixed into one state for storage, instead of 100 storages.
Now that quantum chips and integrated circuit chips carry out completely different calculations, the difference between suitable components becomes even greater. The superiority of the quantum chip depends on the accumulation of quantum states for many initial values, which improves the efficiency of calculation.
Which one is stronger, photonic chip or quantum chip?
Photonic chip and quantum chip are two definitions, there is no difference between high and low. The photonic chip uses the bright technology of semiconductor materials to cause continuous laser light and promote other silicon photonic components; the quantum chip integrates the quantum route on the silicon chip, thereby installing the role of quantum information resource management.
The photonic chip can integrate the luminous characteristics of indium phosphide and the working ability of silicon optical routers into a single hybrid chip. When the current is added to indium phosphide, the light waves entering the monocrystalline silicon chip are introduced, resulting in continuous This type of laser can drive other silicon photonic components.
This type of laser equipment based on monocrystalline silicon wafers can make photonic chips more commonly used in computers. The choice of large-scale silicon-based production technology can greatly reduce the cost of photonic chips. The formation of quantum chips is attributed to the development of quantum computers. To complete the commercialization and upgrade of the industrial structure, quantum computers must take the road of integration. Superconductor system software, semiconductor material quantum dot system software, microstructure photonics system software, and even atomic and positive ion systems all want to take the path to chips.
From the perspective of the development trend of the chip road, the superconductor quantum chip system is technologically ahead of other physics systems; the traditional semiconductor chip material, that is, the quantum dot system software is also the overall goal of everyone’s efforts to explore. The development of the semiconductor chip material industry has long been perfect. For example, once semiconductor material quantum chips increase the threshold of fault-tolerant mechanism quantum chip calculation in terms of decoherence time and manipulation precision, it is hoped that the existing results of traditional semiconductor chip industrial production will be integrated. To reduce project costs