CN112819166A - Encoding method based on quantum information calculation, storage and communication - Google Patents
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Abstract
The above embodiments are provided only for illustrating the present invention and not for limiting the present invention, and those skilled in the art can make various changes and modifications without departing from the spirit and scope of the present invention, and therefore all equivalent technical solutions should also fall within the scope of the present invention.
Description
Technical Field
The invention relates to computer coding, in particular to a coding method based on quantum information calculation, storage and communication.
Background
Quantum (Quantum) is an important concept of modern physics, and is a basic unit capable of expressing the characteristics of a certain substance or physical quantity. Planck was originally proposed in 1900 by german physicist m. Quantum mainly represents the characteristics of the microscopic physical world, and is greatly different from the Newton's classical physics. Quantum mechanics is continuously improved by people such as A.Einstein, N.Bohr, L.de Broglie, W.Heisenberg, E.Schr baby, P.Dirac, M.born and the like, and a complete quantum mechanics theory is initially established in the first half of the 20 th century.
The three space exploration projects of 'ink number', 'Wukon number' and 'Taiji open-draw' which are started in China at present aiming at detecting quantum communication, dark substances and gravitational waves are closely related to the ontology information theory of physical quanta and the application of the algorithm thereof. At present, the 'ink mark' project successfully realizes '1600 km quantum entanglement, invisible transmission and key transmission' experiments. Google, usa, has also achieved 53 quantum bit ultra-strong computational experiments and alleges to achieve quantum dominance.
The invention relates to a logic relevance of invisible transitive state characteristics based on quantum computation and a Taiji ontology information theory, and an invention patent ' a method for translating natural language into computational language, a semantic analyzer and a human-computer interaction system ' formed based on the ontology information theory (patent number ZL201310657042.8) ' a method for simulating human brain learning knowledge by a computer, a logic inference machine and a brain-like artificial intelligence service platform ' (patent application number 201810344726.5) ' a digital processing method for compiling gene information by using 0 and 1 signals ' (patent application number 201210522450.8) ' and the like, wherein the signals of 0 and 1 are respectively used as positive and negative signals of the same ontology, and a coding and algorithm system for computing the same ontology by using the positive and negative information of the same ontology is formed by the positive and negative signals. The method provides an achievable technical background for solving the problem of how to express the quantum bit calculation and coding method of the positive and negative fermi by the same bosons in principle.
Because the encoding method widely applied in the information field at present is still the communication mathematical theory of shannon, namely the information theory, the proposed encoding method which takes the bit as the unit, namely the machine, and can only process the logarithm and the exponent with the base 2 of one bit 0 and one bit 1 at the same time is provided. But the theory can not be applied to the calculation and expression model of the quantum bit. Since quantum information is essentially characterized by the simultaneous expression and computation of two bits in an entangled and/or superimposed manner, a new encoding method that satisfies this physical quantum computation property is needed. In order to solve the coding problem about quantum information calculation, storage and communication, the following technical scheme is provided.
Disclosure of Invention
In view of the above technical problems, the present invention provides a method for encoding quantum information calculation to solve the above technical problems.
The technical scheme adopted by the invention for solving the technical problems is as follows: a method of encoding based on quantum information computation, comprising the steps of:
(1) converting natural language into computer program language information;
(2) compiling the computer program language information into quantum information;
(3) calculating the quantum information;
(4) and decoding the calculated quantum information, and operating the decoded information as a computer execution program.
Preferably, the quantum information is entangled and/or superposed information formed by combining two bits, and each quantum information is calculated by using the same prandtl energy constant h.
Preferably, the rule for converting the natural language into the computer program language information is:
(1.1) quantizing bit signals of 1 and 0 for propositions of a natural language and positive and negative properties of the scene thereof, and taking the bit signals as logic discrete signals for judging whether the propositions are true, and judging whether the propositions are true when the propositions and the information of the scene thereof are 11 or 00;
(1.2) quantizing the information with the proposition of true and false by using bit signals of 1 and 0, quantizing true into 1 and quantizing false into 0, and when the proposition is judged to be true, namely the judgment value is 1, taking the current value of the proposition as true, namely 1, affirming as true, and taking the negative value as true for 0; and when the proposition is judged to be false, namely the judgment value is 0, negating the current value of the proposition to be true, namely 1 negating to be true, and affirming to be true when the current value of the proposition is 0.
Preferably, after the natural language is converted into the computer program language information according to the above rule, the computer program language information is compiled into the quantum information according to the following method:
(2.1) the signals of the proposition and the positive and negative properties of the scene are combined into one quantum information, the signals of the positive and negative properties of the proposition and the signals of the property of judging the proposition to be true and false are combined into one quantum information, and the signals of the proposition which takes the current value or the inverse value are combined with the signals of the scene into one quantum information;
(2.2) the proposition describes a scene by taking a main/predicate concept as an object and a function name, the main/predicate concept and characters of other components in the main/predicate concept as parameters are respectively encoded by continuous signals of quantum information, and the encoding is obtained by calculation of a quantum information encoding formula. The information coding is a formula for calculating quantum information entropy and quantum coding by using logarithm and exponent with base 4 as a base;
(2.3) the discrete signal representing positive and negative nature of propositions and the continuous signal representing character of propositions are the operation codes of the logic operation instruction corresponding to a program, the signal of the scene and nature corresponds to the operand or address code of the logic operation instruction of a program, and the operation codes are calculated by a quantum entanglement and superposition method, and the logic connection relation between propositions is calculated by using the corresponding transfer instruction.
Preferably, the entanglement computation in the quantum entanglement and superposition method computation refers to computing a logical signal of a property between a proposition and its scene; the continuous signal calculated by the superposition method in the quantum entanglement and superposition method calculation is character information representing a proposition name and data information of the scene.
The invention also provides an encoding method for realizing storage of quantum information based on the encoding method for quantum information calculation, and the encoding method for quantum information storage can store quantum information in atomic or molecular solid.
Preferably, the encoding method for quantum information storage is a method of storing the continuous signal in an atomic or molecular solid by a superposition method while using a discrete signal as a track wave signal for encoding an atom or molecule.
The invention further provides a quantum information communication coding method constructed based on the quantum information calculation coding method, and the quantum information communication coding method is a method for transmitting discrete signals by a quantum information entanglement method and transmitting continuous signals by a quantum information superposition method.
Preferably, the discrete signal refers to entangled quantum information prepared between a communication transmitting end and a communication receiving end, and the continuous signal refers to text or other data information carried or transmitted by the discrete signal.
From the above technical solutions, on the background of the current information theory and quantum technology development, the fundamental and key common problems of quantum information calculation, storage and communication technology are solved, and the technical method is to break through the traditional information coding theory, establish the difficult problem that the quantum can simultaneously process two bit codes in an entanglement and superposition mode, and combine the quantum information coding with an information carrier of human brain expressing intelligent thinking in natural language to form a technical method capable of realizing strong artificial intelligence or cognitive artificial intelligence by using a quantum computer. The scheme is based on a logarithm and exponential coding method based on 4 of an improved Shannon theory, provides a quantum information coding method taking two bits as an information unit, quantizes positive and negative properties of propositions, namely natural sentences, into bits, and forms quantum information combination with the field properties of the bits, so that logical union or calculation for judging propositions by quantum information, namely quantum bits is formed. And each natural statement can be automatically converted or translated into a machine program statement, namely an instruction, by using the propositional name as an operation code of an exclusive-nor logical operation instruction and using the scene as an operand. And then the natural language is automatically converted into a machine program language through the correspondence of the connection relation between the natural sentences and the program control instructions, and the machine program language is coded and calculated by a quantum bit method. One proposition is a positive and negative quantum function, namely a self-calculated recursive function for calling predicates by subject objects, and the function is triple quantum information and corresponds to a judgment operation program. We can refer to this triplet as a propositional predicate triplet or propositional quantum information triplet. Namely, the proposition and the positive and negative signals of the scene, the positive or negative signals of the proposition and the signals for judging the proposition to be true or false, the proposition current value or the negation value and the signals of the scene are combined into a three quantum information conjuncted body; the relation between each proposition is a quantum transfer function, and the function is also triple quantum information and corresponds to an inference program. We may refer to this triplet as a logical inference or program transfer control triplet. The method is characterized in that a true and false signal of a front and back piece proposition is inferred, a property signal of the back piece proposition, which is true and false, and the back piece proposition, a current value or a reverse value signal of the back piece proposition and a signal of the scene are combined into a three quantum information conjuncted body. The two quantum functions and the quantum information triplets corresponding to the computer program statements and the transfer instructions form an intelligent cognitive system for coding and calculating natural language by using quantum information.
Also known from the above technical solutions, the bulk bosom model of majorana fermi and dirac fermi is theoretically unified. And making the implementation of quantum topology calculations in solids a realistic technique. Since the positive and negative fermi-ns are the same particle, they can still "remember" the previous position after shifting the bits of both fermi-ns. This property is not only for molecular electronics in quantum entanglement and superposition calculations, i.e. the assembly of logic circuits with single molecules, supramolecules or molecular clusters instead of solid electronic components such as silicon-based semiconductor transistors, or even the assembly of complete molecular computers encoded with quantum information. For example, the gene base molecule A/G/C/T encoded by four quantum information can be used for assembling quantum computer or storing information by it. Therefore, the technical problem that the microelectronic processing technology is close to the limit can be solved. The continuous reduction of the line width ensures that the solid electronic device does not conform to the traditional operation rule any more, the reduction of the line width also ensures that the processing cost is continuously increased, and the technical problem can be effectively solved by taking the qubit wave as molecular orbit superposition information and applying the qubit wave to information storage.
Also, as can be seen from the above technical solutions, the quantum entangled invisible transport mode can change the so-called 4G and 5G of the current electronic information to be transmitted through the channel bandwidth, and even the development of 6G transmission mode is proposed. That is to say, the quantum information invisible transmission mode realized based on the quantum information coding method can infinitely superpose information on the same quantum channel, and enables the information to be transmitted in a state without time delay, and because the information carrier used by the human brain in the logical thinking is also the same physical bosons, when any quantum information is acquired and recognized by the human brain, the quantum decoherence effect can be naturally generated to change the information content, so as to protect the information security without encryption.
Detailed Description
The present invention will now be described in detail with reference to the following examples, which are illustrative of the present invention and are not to be construed as limiting the invention.
It is known that only two types of bosons and fermions exist for physical particles. Boson refers to a type of particle in which the antiparticle is itself, such as a photon, and fermi refers to a particle that obeys the principle of pauli incompatibilityPositive and negative particles, such as positive and negative electrons. If the Taiji ontology is examined, the boson is directly like a positive and negative integration model of yin and yang Taiji or coins, and if the Fermi following the Paoli incompatibility principle is like the coins, the positive and negative can not appear simultaneously. Furthermore, if the method is examined by quantization and quantum state methods, the same quantum can simultaneously appear in four quantum bits, namely quantum information models |11 >, |10 >, |01 >, |00 >, and any physical phenomenon that particles express in the same Planck energy h, namely quantization or quantum state physical phenomenon, can be regarded as the same bosons like Taiji or coins, namely the existence of essence or body and the information of the positive and negative properties of the body, thereby forming a quantum algorithm model which meets the requirements of calculating everything and calculating the body. The model can be expressed by an ontology Taiji algorithm model of Planck energy h encoded by two bits of information, namely (1)1&10&01&0) h. This naturally explains why the same particle can appear in the physical miraculous phenomenon in four qubit models, the "quadrant" model, simultaneously. And also gives the information model calculation that everything is calculated by 2-time combination of qubits, i.e. 1 and 0, and the fermi sub-carriers of bits 1 and 0 can be the physical quantum state background of the same boson, e.g. a coin, appearing in both positive and negative.
This shows that in the physical state of quantization, the carriers of bits 1 and 0 are positive and negative for the same boson to appear in the fermi state, whereas bulk boson quanta when expressed in the quantum state, i.e. in an alternative state to the four bulk quantization models, naturally form fermi properties that are not positive or negative, like a coin. However, in practice, fermi and boson are the same bulk particles. The model of fermi expressed in quantum state is:
it can be seen that the bulk quantum state model and the quantization model, in addition to the differences from and/or, i.e., simultaneous occurrence and alternative occurrence, present a problem of asymmetry between the two. The visible quantum state is the combined state of two Fermi particle, the invisible quantization is the superposition of four motion states of the same boson, the two exist a conversion or decay process from the quantum state to the quantization, and the process can be explained by the theory of symmetry breakdown in weak phase force. I.e. when two fermi-nes are combined, quantization occurs which agglomerates into bosons and symmetry breaks of fermi-pairs occur.
The periodic Table of elements is explained according to a model of the Pagli incompatibility principle available at present, and the rule that the DNA sequence is encoded by T, G, C, A and T is paired with A, C and G, and T is changed into C and A to G and T is changed into A and C to G and is changed into G is changed into B is corresponded to (1)1) h and (0)0)h、(01) h and (1)0) h positive and negative coupling rule. Also, the 64 genetic codes found in Crick and Watson are triplet structures consisting of 4 combinations of bases, i.e., 43The 6-phase qubit model of 000000 to 111111 of =64 and the six-phase model of triplet in the human brain judgment inference algorithm can obtain the triplet law expressed by quantum information of quantum information stability and computational structure. I.e. the positive and negative electrons in the quantum state are quantized by coupling. Therefore, the formula for calculating the quantum information entropy should be converted from the traditional bits with shannon base 2 to the quantum bits with base 4. Namely:
j = one log41/p
Where p represents the probability that the presence object is likely to be present, i.e., true. If the negative sign and the probabilistic nature of p are cancelled, then p is the true number of the base 4 logarithm. The main difference between quantum information entropy and shannon-defined information entropy is that 1 unit of entropy, i.e. 1 qubit, contains two bits of information, one planck energy and one boson quantum. For statistical convenience and distinction from the conventional bit, we call it a walsh or qubit.
As can be seen from the quantum information formula, p =4 can be usedjThe exponential formula of (2) is used as a calculation formula of quantum information coding. The information amount of quantum information entropy is a multiple of bits, and conventional bits cannot be used as a unit for measuring quantum information amount. This is because quantum information entropy contains energy h and bosons and 2 bits of information that encode one energy h. Namely a three-in-one ontology information model. The ontology information model and the algorithm theory are derived from the 'Zhouyi' Taiji 'four-quadrant' model, and are defined as Huate for expressing the meaning of the culture of bearing China (j) and summer (h). 1-walt (ht) equals 2 bits. Accordingly, an energy formula E = jh can be derived which has a physical meaning equivalent to planck and einstein energy formulas E = hv and E = mc ^ 2. And because all things (W) are expressed by quantization and information models jh of the same body boson quantum, a great unification model which expresses the unity of substance (particle), information and energy in the universe, space-time or existence by a formula W = jh which is calculated and generated by the information models jh of the same body boson quantum can be obtained. This large unified model isEinstein proposes a general theory of unifying four natural forces, namely strong phase force, weak phase force, electromagnetic force and attraction. The algorithm provided by the scheme shows that the unified force is the acting force given by the same energy h in the wave frequency v. This is why the force of the strong wave is the largest and the force of the gravitational wave is the smallest. Since the strong force is a quark force and the attractive force is an interplanetary force, the force of the same h-wave frequency is obtained by calculating the momentum of the particle p as the energy constant divided by the wavelength, i.e., the force p = h/r, and must be the minimum attractive force and the maximum quark force. And the attractive force expressed by one h can be almost negligible because the interplanetary distance is as far as the optical grade. Therefore, it is very difficult to detect and calculate the gravitational wave. The Taiji plan which is implemented in China and aims at detecting gravitational waves is in progress, and the natural law is proved. China also implements a 'Wukong plan' aiming at detecting dark substances, and according to the technical scheme, the dark substances can be body bosons. Its carrier can be assumed to be the mass of the photon in motion. Since the stationary mass of a photon is zero, but its moving mass is unknown. Further, it is possible to assume the unknown reason that it is a blackseed which is difficult or impossible to find, and the black hole is formed by polymerizing the blackseed. This is in line with the theoretical law that photons and black photons are positive and negative of the same boson.
From the above, through the ontology information algorithm and ontology quantization rule for the brain memory and thinking of the contact person, the information unified model of the brain thinking, the quantum computation and the gene coding can be realized, so that the quantization essence of the brain intelligence and the natural universe is disclosed. Therefore, the invention provides an encoding method based on quantum communication calculation, which comprises the following steps:
(1) converting the natural language into computer program language information, wherein the rule for converting the logic information of the natural language into the logic information of the computer program language is as follows:
(1.1) quantizing bit signals of 1 and 0 for propositions of a natural language and positive and negative properties of the scene thereof, and taking the bit signals as logic discrete signals for judging whether the propositions are true, and judging whether the propositions are true when the propositions and the information of the scene thereof are 11 or 00;
(1.2) quantizing the information with the proposition of true and false by using bit signals of 1 and 0, quantizing true into 1 and quantizing false into 0, and when the proposition is judged to be true, namely the judgment value is 1, taking the current value of the proposition as true, namely 1, affirming as true, and taking the negative value as true for 0; and when the proposition is judged to be false, namely the judgment value is 0, negating the current value of the proposition to be true, namely 1 negating to be true, and affirming to be true when the current value of the proposition is 0.
(2) After the logic information of the natural language is converted into the logic information of the computer program language according to the rules, the computer program language information is compiled into the quantum information according to the following method:
(2.1) the signals of the proposition and the positive and negative properties of the scene are combined into one quantum information, the signals of the positive and negative properties of the proposition and the signals of the property of judging the proposition to be true and false are combined into one quantum information, and the signals of the proposition which takes the current value or the inverse value are combined with the signals of the scene into one quantum information;
(2.2) the proposition describes a scene by taking a main/predicate concept as an object and a function name, the main/predicate concept and characters of other components in the main/predicate concept as parameters are respectively encoded by continuous signals of quantum information, and the encoding is obtained by calculation of a quantum information encoding formula. The quantum information coding is a formula calculation for calculating quantum information entropy by using logarithm and exponent with base 4 as bases;
(2.3) the discrete signal representing positive and negative nature of propositions and the continuous signal representing character of propositions are the operation codes of the logic operation instruction corresponding to a program, the signal of the scene and nature corresponds to the operand or address code of the logic operation instruction of a program, and the operation codes are calculated by a quantum entanglement and superposition method, and the logic connection relation between propositions is calculated by using the corresponding transfer instruction.
(3) And calculating the quantum information, decoding the calculated quantum information, and operating the decoded information as a computer execution program. The quantum information is entangled and/or superposed information formed by combining two bits, and each quantum information is calculated by using the same Plantt energy constant h. Preferably, the entanglement computation in the quantum entanglement and superposition method computation refers to computing a logical signal of a property between a proposition and its scene; the continuous signal calculated by the superposition method in the quantum entanglement and superposition method calculation is character information representing a proposition name and data information of the scene.
The invention also provides an encoding method for storing the quantum information, which is realized based on the encoding method for calculating the quantum information and can store the quantum information in an atomic or molecular solid. The encoding method for quantum information storage is a method of using discrete signals as orbital wave signals for encoding atoms or molecules and simultaneously storing the continuous signals in atomic or molecular solids in a superposition method.
The invention further provides a quantum information communication coding method constructed based on the quantum information calculation coding method, and the quantum information communication coding method is a method for transmitting discrete signals by a quantum information entanglement method and transmitting continuous signals by a quantum information superposition method. The discrete signal refers to entangled quantum information prepared between a communication sending end and a communication receiving end, and the continuous signal refers to text or other data information carried or transmitted by the discrete signal.
Preferably, the rule for converting the natural language into the computer program language information further includes that the natural language characters are directly calculated and quantized into the quantum information units with the quantum bits as the units by the self-consistent calculation of the same signals and the self-reversal calculation of different signals by using the storage function of the Maniranfirm without extracting signals for judging whether the proposition is true or false. The method is calculated with the formula j = log 41/p. Considering that Chinese characters are exhausted and counted in 16384 words, the quantum information amount of each Chinese character is 7 Chinese characters, namely 14 bits. 4^7=16384 combinations, namely each Chinese character is represented by 14 numbers of 0 and 1. For example, the English letters are 3 Walter. Other languages are calculated by analogy with the method. This step is to ensure that the strings in the machine system can be calculated with the same optical quantum encoding.
In practice, information of the positive and negative nature of the natural language is extracted as a bit signal. Natural language sentences are logically formed in a structure of main/predicate concepts. Therefore, if the positive and negative properties of the proposition are expressed by the major/predicate structure, there are four models, i.e., 1z/1w for positive subject and predicate, 1z/0w for positive subject and predicate, 0z/1w for positive subject and predicate, and 0z/0w for negative subject and predicate. It is required that propositions are expressed as positive and negative function forms of z/1w and z/0w by algorithms as indicated by 1 | _ 1=1, 1 | _ 0=0, 0 | _ 1=0, 0 | _ 0= 1. At the same time, the subject of proposition and the semanteme of predicate concept are expressed in the form of recursion function of variable or object representation subject calling predicate, and the function name, namely the function body corresponding to the operation code, namely the operand, is corresponding to the data resource or behavior action actually operated by the function body, and the property of the function body is identified by a signal of 1 or 0, and then the function body is corresponding to the logic operation and operation instruction of the machine by a software compiling method. One proposition corresponds to a statement operation instruction in the machine language through a quantum proposition function, and the logical relationship between propositions corresponds to a structure operation instruction in the machine language through a quantum transfer function.
The natural sentence is converted into program language in two compiling modes, one is that the programmer designs the work task to be completed by the machine in the logic thinking mode and its expression process of natural language in the programming mode and the compiler sends the work task to the machine. The instructions include the actions or processes of a machine aiming at a lot of details to be completed by a task, the detailed processes are called micro programs or hardware self-contained programs, programs corresponding to natural statements are called macro programs or programs with semantic properties, each macro program is provided with micro programs with different quantities, and the other is a program which is directly spoken into the machine by an intelligent terminal user in a natural language. This program is a functional program that is pre-ordered by a programmer or an intelligent product manufacturer. As long as the user speaks the natural language, the machine can automatically work by corresponding to the operating system of the machine after being converted and compiled by voice. Therefore, a system or tool for automatically parsing syntax and semantics of natural language is also needed. The system converts natural language speech into words, analyzes grammatical components in natural sentences, defines negative words appearing in the main words/the predicate words as negative information, analyzes contact words of the connection sentences and corresponds to a logical relationship, and then corresponds to a transfer instruction on a program structure through a compiler.
The body bose sub-models of the majorana fermi and the dirac fermi are unified in theory. Making it possible to implement quantum topological calculations in solids. After the positive and negative fermi-ns have moved the two fermi-n bits because they are the same particle, they can still "remember" the previous position. The property has special significance for realizing data entropy-encoded by quantum information and applying the data to molecular electronics calculation and information storage. That is, after quantum physicists and mathematicians understand that bosons and fermions are the same bulk particles, quantum storage and computation communication applications can be realized by encoding electronic information of atomic and molecular orbitals by a quantum topological computation method. Because atoms and molecules are encoded by bulk quantized information in watts, storage and computation of quantum information can naturally be achieved in atomic and molecular solids.
The proposition and the positive and negative information of the scene are realized in an entangled mode in quantum computation and transmission. By entanglement is meant the physical act of two discrete signals occurring simultaneously by over-distance action. This dispersion can theoretically be as far as the chronological distance, no matter how close or far. This is the physical basis and secret where quantum communication can be stealthed and key transport. The quantum superposition method is a phenomenon that particles can be controlled in a fixed orbit by self signals in the process of displacement or movement, and is a remarkable characteristic that quantum computation is different from conventional computation. This feature is that its frequencies occur simultaneously. This quantum entanglement and superposition behavior constitutes a revolutionary change in the technology by which quantum computation and communication no longer need to take into account signal linewidth in chip design and channel bandwidth in information transmission.
The above embodiments are provided only for illustrating the present invention and not for limiting the present invention, and those skilled in the art can make various changes and modifications without departing from the spirit and scope of the present invention, and therefore all equivalent technical solutions should also fall within the scope of the present invention.
Claims (10)
1. An encoding method based on quantum information calculation is characterized by comprising the following steps:
(1) converting natural language into computer program language information;
(2) compiling the computer program language information into quantum information;
(3) calculating the quantum information;
(4) and decoding the calculated quantum information, and operating the decoded information as a computer execution program.
2. The encoding method based on quantum information calculation of claim 1, wherein the quantum information is entangled and/or superimposed information formed by combining two bits, and each quantum information is calculated by using the same Plantt energy constant h.
3. The encoding method based on quantum information computation of claim 2,
the rule for converting the logic information of the natural language into the logic information of the computer program language is as follows:
(1.1) quantizing bit signals of 1 and 0 for propositions of a natural language and positive and negative properties of the scene thereof, and taking the bit signals as logic discrete signals for judging whether the propositions are true, and judging whether the propositions are true when the propositions and the information of the scene thereof are 11 or 00;
(1.2) quantizing the information with the proposition of true and false by using bit signals of 1 and 0, quantizing true into 1 and quantizing false into 0, and when the proposition is judged to be true, namely the judgment value is 1, taking the current value of the proposition as true, namely 1, affirming as true, and taking the negative value as true for 0; and when the proposition is judged to be false, namely the judgment value is 0, negating the current value of the proposition to be true, namely 1 negating to be true, and affirming to be true when the current value of the proposition is 0.
4. The encoding method based on quantum information calculation according to claim 3, wherein the logic information of the computer programming language and the propositional text information controlled by the logic information are compiled into the quantum information according to the following method after the logic information of the natural language is converted into the logic information of the computer programming language according to the above rule:
(2.1) the signals of the proposition and the positive and negative properties of the scene are combined into one quantum information, the signals of the positive and negative properties of the proposition and the signals of the property of judging the proposition to be true and false are combined into one quantum information, and the signals of the proposition which takes the current value or the inverse value are combined with the signals of the scene into one quantum information;
(2.2) the proposition describes a scene by taking a main/predicate concept as an object and a function name, the main/predicate concept and characters of other components in the main/predicate concept as parameters are respectively encoded by continuous signals of quantum information, and the encoding is obtained by calculation of a quantum information encoding formula.
5. The information coding uses a logarithm and exponential formula with the base 4 to calculate the quantum information entropy and carries out continuous signal coding of quantum information based on the calculation;
and (2.3) the discrete signals representing positive and negative properties of propositions and the continuous signals representing characters of propositions correspond to operation codes of the logic operation instructions of one program, the signals of the scene and the properties correspond to the operands of the logic operation instructions of one program and are calculated by a quantum entanglement and superposition method, and the logic connection relationship between the propositions is calculated by using the corresponding transfer instructions.
6. The encoding method based on quantum information calculation as claimed in claim 4, wherein the entanglement calculation in the quantum entanglement and superposition method calculation refers to a logic signal for calculating the property between the proposition and the scene thereof; the continuous signal calculated by the superposition method in the quantum entanglement and superposition method calculation is character information representing a proposition name and data information of the scene.
7. An encoding method for quantum information storage realized according to the encoding method based on quantum information computation of any one of claims 1-5, characterized in that: the encoding method for quantum information storage can store quantum information in atomic or molecular solid.
8. The encoding method of quantum information storage according to claim 6, wherein the encoding method of quantum information storage is a method of encoding orbital wave signals of atoms or molecules by discrete signals while storing the continuous signals in atomic or molecular solids in an overlapping manner.
9. A coding method of quantum information communication constructed according to the coding method based on quantum information computation of any one of claims 1 to 7, characterized in that: the encoding method of quantum information communication is a method of transmitting discrete signals by a quantum information entanglement method and transmitting continuous signals by a quantum information superposition method.
10. The encoding method of quantum information communication according to claim 8, wherein: the discrete signal refers to entangled quantum information prepared between a communication sending end and a communication receiving end, and the continuous signal refers to text or other data information carried or transmitted by the discrete signal.
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Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101377771A (en) * | 2007-08-28 | 2009-03-04 | 万继华 | Mechanical method for calculating natural language and coding by 0 and 1 two signals |
CN103617159A (en) * | 2012-12-07 | 2014-03-05 | 万继华 | Method for translating natural languages into computer language, semantic analyzer and human-machine conversation system |
CN107332628A (en) * | 2017-07-05 | 2017-11-07 | 哈尔滨理工大学 | Computer coding method based on quantum entanglement and least square method |
CN108874380A (en) * | 2017-04-17 | 2018-11-23 | 湖南本体信息科技研究有限公司 | Method, logical inference machine and the class brain artificial intelligence service platform of computer simulation human brain learning knowledge |
-
2019
- 2019-11-15 CN CN201911119193.1A patent/CN112819166A/en active Pending
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101377771A (en) * | 2007-08-28 | 2009-03-04 | 万继华 | Mechanical method for calculating natural language and coding by 0 and 1 two signals |
CN103617159A (en) * | 2012-12-07 | 2014-03-05 | 万继华 | Method for translating natural languages into computer language, semantic analyzer and human-machine conversation system |
CN108874380A (en) * | 2017-04-17 | 2018-11-23 | 湖南本体信息科技研究有限公司 | Method, logical inference machine and the class brain artificial intelligence service platform of computer simulation human brain learning knowledge |
CN107332628A (en) * | 2017-07-05 | 2017-11-07 | 哈尔滨理工大学 | Computer coding method based on quantum entanglement and least square method |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20220156623A1 (en) * | 2020-11-16 | 2022-05-19 | Joseph Robert Escamilla | System and Method of Exchanging Information Through a Wireless Brain-Computer Interface |
US11954561B2 (en) * | 2020-11-16 | 2024-04-09 | Joseph Robert Escamilla | System and method of exchanging information through a wireless brain-computer interface |
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