Methods
The process of quantum computing is based on quantum mechanics for encoding the information into binary digits. Quantum bits are used for prevailing quantum computation on the quantum computers which are being developed for formulating these bits (Yanofsky, 2017). The large and compex problems can be efficiently solved by working on the quantum bits through the use of integer factorization algorithm. It is the new working platform in which big and complex problem can be solved with the minimum number of quantum bits (Binkley, 2016). The quantum bits are provided by the qubits for performing computational processes. This is known as super-position state of computers. The 1 and 0 bits of the digital computers are replaced by quantum bits. An imaginary sphere is created by qubits for solving the complex problems. In this paper, we are looking forward to analyse the technical requirement of the quantum computing.
The sequence of bit is created by the quantum computers which represent the single value of 1 and 0. The pair of q-bits is responsible for representing the 4 states of superposition states and similarly 3 q-bits is responsible for representing the 8 states of superposition states (Steffen, Dvicincenzo, Chow, Theis, and Ketchen, 2012). The n bits are capable of developing an imaginary scenario of 2n superposition states (Amiri, 2014). It helps in achieving the alternating methods for solving the complex problem. The super dense coding can be effectively performed for providing high quality encryption procedures.
Q-bit States: The q-bits are used for handling and controlling the initial problem of developing quantum logics gates which are based on sequence of the complex problem (Walker, 2015). The quantum algorithm is applied for developing logic gates for 2n quantum superposition states (Reiffel, and Palo, 2012).
Q-bit Control procedures: The control devices are used for controlling the programming of the q-bits. Optical trappers are used for controlling the light waves for the organization of logics gates to present the sequence of action to be taken to solve the problem of controlling devices (Devitt, Munro, and Nemoto, 2012). The semiconductor materials are used for handling and controlling the out of scope unwanted particles to manage the flow of electrons without any resistance.
The security to the computer system can be improved with the inclusion of quantum information processing system. The quantum computing procedures are effective for dealing with large data sets which plays an important role in the world of medical science, genetic engineering, and weather forecasting. The “Liqui|” programming language is used for coding the program for the quantum information processing (Sharma, 2015). The complication arises for the programmers in debugging the program code because it is difficult to observe flow of data input and output from various super position states. It is often used in the development of artificial intelligence software. It is the best methodology for designing the cryptographic security procedures for preserving the confidential data of the user on the cloud services (Kanamori, Yoo, Pan, and Sheldon, 2012). The utilization of super position states makes it difficult to extract the data from the mechanism of quantum computing security procedures.
Discussion
From the above discussions, we are able to point out that strong cryptographic procedures can be developed with the use of quantum computing. The quantum computing works on the principle of creating quantum logic. The q-bits are used for creating quantum logics which are more effective than classical logics. The quantum computing works on the principle of creating quantum logic. The q-bits are used for creating quantum logics which are more effective than classical logics. The efficiency of the system can be improved with the utilization of q-bits.
The syntax used in the Quantum computer programming language are equivalent to the syntax of the C-language. The quantum register should be developed with the development of qbit array to get desired result. The QLib is the interpreter which works on the simulation library. The quantum program runs on the internal state of the quantum computer and compiled by the use of QLib interpreter. The standard library functions are used for developing the quantum algorithm to achieve the following:
- The target Qbits can be controlled by using Control Not gate
- The accumulation of the Qbits can be handled by using Hadamard Logic gate
- Parsing and controlling phase
Large complex problems can be efficiently developed with the use of quantum information processing mechanism. The mechanism of quantum computing is used for developing effective security procedures for the system. The inefficiencies of public key cryptographic and hash functions can be resolved by using the mechanism of q-bits because it provides the simulation of input and output of data flow in various superposition phases. It is difficult for the hackers to crack the information which is preserved by using quantum mechanics.
The Q-bits can be defined on the basis of 0 and 1 Boolean digits. The quantum register is the composition of n-bits.
For Example: There are four bits in the quantum register which are 1, 1,0, and 1. The tensor product of the four digit is equivalent to 13 which can be shown from the statement below:
The development of the quantum logic gates depends upon the manipulation of qbits with the association of unary operator. The quantum algorithm is applied for developing logic gates for 2n quantum superposition states. The unitary operation can be performed in the quantum mechanics on the selected qbits for the operation. The controlled NOT gate of quantum computing is equivalent to the XOR operation in the Boolean algebra. The application of the logic gates help in completing the process within the provided time frame.
Hadamard Quantum logic gate:
This gate is used for performing unitary operation on the single q-bits. The following action is the result of Hadamard gate:
Results
NOT gate:
The random output can be produced by taking square root of qbits. The output of the NOT gate is equivalent to 0 and 1 bit.
The opposite result is obtained for the qbit which is taken for calculation.
Controlled Not Gate:
The following truth table is the output of the controlled NOT gate:
|
1 |
0 |
0 |
0 |
|
0 |
1 |
0 |
0 |
|
0 |
0 |
1 |
0 |
|
0 |
0 |
0 |
1 |
Controlled Phase shift gate
The following truth table is the result of the Controlled Phase shift gate
|
1 |
0 |
0 |
0 |
|
0 |
1 |
0 |
0 |
|
0 |
0 |
1 |
1 |
|
0 |
0 |
0 |
e? |
Toffoli gate:
The toffoli gate is applied on three qbits. The following table represent the result of the toffoli gate.
|
0 |
0 |
0 |
0 |
0 |
0 |
|
0 |
0 |
1 |
0 |
0 |
1 |
|
0 |
1 |
0 |
0 |
1 |
0 |
|
0 |
1 |
1 |
0 |
1 |
1 |
|
1 |
0 |
0 |
1 |
0 |
0 |
|
1 |
0 |
1 |
1 |
0 |
1 |
|
1 |
1 |
0 |
1 |
1 |
1 |
|
1 |
1 |
1 |
1 |
1 |
0 |
Fredkin gate:
The Fredkin gate is applied on three qbits. The following table represent the result of the Fredkin gate (Devitt, Munro, and Nemoto, 2012).
|
0 |
0 |
0 |
0 |
0 |
0 |
|
0 |
0 |
0 |
0 |
0 |
0 |
|
0 |
0 |
1 |
0 |
0 |
1 |
|
0 |
1 |
0 |
0 |
1 |
0 |
|
0 |
1 |
1 |
0 |
1 |
1 |
|
1 |
0 |
0 |
1 |
0 |
0 |
|
1 |
0 |
1 |
1 |
1 |
0 |
|
1 |
1 |
0 |
1 |
0 |
1 |
|
1 |
1 |
1 |
1 |
1 |
1 |
The accumulation of quantum logics gates helps in developing an effective quantum logic circuit for solving the complex problems to get effective results. The C-NOT and TOFFOLI gate are equivalent to the adder of the Boolean algebra.
Inefficiency of the quantum computing:
It is difficult to develop a quantum system which is not dependent on the environment. The dependency of the quantum computing on the environment causes variation in the creation of quantum logics. This difference is known as decoherence in the system which results into the generation of errors (Fortnow, 2013). The Guasian approach should be used for initializing the error correcting code.
Conclusion
From the above discussion, We are able to conclude that quantum computing is successful in solving the complex problem with the use of quantum logic gates on the quantum register of qbits. The unitary operation can be performed in the quantum mechanics on the selected qbits for the operation. The quantum algorithm is applied for developing logic gates for 2n quantum superposition states.
References
Amiri, P. (2014). Quantum computers (1st ed.). Retrieved from https://web.mst.edu/~ercal/253/Papers/QuantumComputers.pdf
Binkley, S. (2016). Quantum computing (1st ed.). Retrieved from https://science.energy.gov/~/media/ascr/ascac/pdf/meetings/201604/2016-0405-ascac-quantum-02.pdf
Devitt, J., Munro, W., and Nemoto, K. (2012). High performance on quantum computing (1st ed.). Retrieved from https://www.nii.ac.jp/pi/n8/8_49.pdf
Fortnow, L. (2013). One complexity theorist’s view of quantum computing (1st ed.). Retrieved from https://people.cs.uchicago.edu/~fortnow/papers/quantview.pdf
Kanamori, Y., Yoo, S., Pan, D., and Sheldon, F. (2012). A short survey on quantum computers (1st ed.). Retrieved from https://www.csm.ornl.gov/~sheldon/public/JrComputerAppsSurvey-V5.pdf
Reiffel, E., and Palo, F. (2012). Quantum computing (1st ed.). Retrieved from https://www.fxpal.com/publications/quantum-computing.pdf
Sharma, K. (2015). Understanding quantum computing (1st ed.). Retrieved from https://ijseas.com/volume1/v1i6/ijseas20150641.pdf
Steffen, M., Dvicincenzo, D., Chow, J., Theis, T., and Ketchen, M. (2012). Quantum computing: An IBM perspective (1st ed.). Retrieved from https://snf.ieeecsc.org/sites/ieeecsc.org/files/issue20-Steffen.pdf
Walker, J. (2015). Quantum computing: A high level overview (1st ed.). Retrieved from https://pages.mtu.edu/~jwwalker/files/cs5431-jwwalker-quantumcomputing.pdf
Yanofsky, N. (2017). An introduction to quantum computing (1st ed.). Retrieved from https://www.researchgate.net/publication/1758552_An_Introduction_to_Quantum_Computing
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