Graphene-based quantum dot computer system and control method thereof

Abstract

The invention relates to a graphene-based quantum dot computer system, which comprises a graphene quantum dot arithmetic unit, a graphene quantum dot controller, a graphene quantum dot memory, a graphene quantum dot instruction set component, a quantum dot computer bus and a quantum dot computer I / O interface, the graphene quantum dot arithmetic unit completes reversible quantum arithmetic and logic operation through quantum bit operation of graphene quantum dots; the graphene quantum dot controller comprises a time sequence unit, a scheduling unit, a user instruction address storage unit, a result detection unit, a data inspection unit and a user instruction pre-judgment unit; the graphene quantum dot memory comprises memory units arranged in an array and memory unit address addressing units. According to the method, the calculation and storage of quantum information are realized by utilizing the physical state bidirectional transition of the graphene quantum dots, and the method has relatively high calculation speed and relatively large storage capacity; the graphene quantum dot disclosed by the invention is not easy to generate decoherence phenomenon due to external interference, and the quantum state stability is improved.

Description

technical field [0001] The invention belongs to the field of quantum computers, in particular to a graphene-based quantum dot computer system. Background technique [0002] Quantum computers are different from classical computers. They follow the principles of quantum mechanics to perform high-speed arithmetic and logic operations, and process and store quantum information. Quantum computers are the same as classical computers, including hardware and software. The hardware includes quantum transistors, quantum memories, quantum effectors, etc., and the software includes quantum algorithms, quantum codes, etc. In general, if the computer's physical device calculates and processes quantum information, or runs quantum algorithms, it can be regarded as a quantum computer. In the early 1980s, Benioff first proposed the idea of ​​quantum computing and designed an executable quantum Turing machine with classical analogies. In 1982, on the basis of Benioff, Feynman proposed the us...

AI Technical Summary

Problems solved by technology

[0007] 2. Quantum entanglement is difficult to operate and maintain

However, in existing quantum computers, it is also difficult to maintain quantum coherence and quantum entanglement for a long time, and the quantum state is often disturbed by the outside world, resulting in the destruction of the quantum entangled state

[0008] 3. It is difficult to select the correct calculation result from quantum parallel computing

[0009] 4. The difficulty required to maintain the quantum state and correct errors

In a quantum computer, it is difficult to realize the data replication function, data verification and data error correction in a classical computer

[0010] 5. High power consumption

In a photonic quantum computer, from the initial transmission distance of a single photon to the segmented transmission of many single photons, as the communication distance increases, the resources and power consumed also show a polynomial increase, which will consume a lot of resources and power

In addition, the interface of quantum computers with external devices and classical computers is still insufficient

[0011] Although the current quantum computer has made a lot of progress, there are obvious technical defects and problems that are difficult to solve.

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