Quantum Computing Versus Turing Machines

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[...] Quantum computing also refers to the ability of machines to execute several computations at once based on inherent parallelism (Umesh 737). Understanding quantum computing and turing machines requires a comparative analysis of the machines used, besides delving into the quantum complexity theory. The theory states that on a quantum computer, it is possible to resolve the issues of discrete logarithms and prime factorization in polynomial time, and this makes the framework for contemporary cryptography (Dash and Nayak 230). Quantum computation borrows from the processing ideologies first developed in turing machines, a reason why the conception of algorithms continues to change over time. [...]

[...] However, it is more of conjecture and besides, the current quantum computing power remains limited to the resolution of optimization problems. Turing machines bear both computation and recognition capacities, albeit in smaller speeds, and this informs the supremacy battle between such classical models and quantum computers. In summary, quantum computers and turing machines are different computer models with differential capacities when it comes to the volume and speed of information processing. Quantum computing appears superior because machines applying the model use qubits and quantum bits, enabling them to process large amounts of information at great speeds. [...]

[...] However, turing machines stand out as well because they have continuously informed the development of various algorithms. They also have recognition and computation capacities, a reason why computer experts work closely with mathematicians and quantum physics enthusiasts to come up with supercomputers based on quantum technology for superior information processing and sorting. Works Cited Dash, Tirtharaj and Nayak Tanista. "Comparative Analysis of Turing Machines and Quantum Turing Machines." Journal of Global Research in Computer Science (2016) 229- 371 Vazirani Umesh. "Quantum Computing and Quantum Complexity Theory." IEEE International (2010). [...]

[...] Quantum Computing Versus Turing Machines Quantum computing refers to the process of using modern bit-based machines to process large amounts of information. Quantum computers deal with intertwined electrons that are superposed and entangled to enable the machine process large data sets, rendering the classically intractable simulation systems tractable. Turing machines, on the other hand, came into existence in the 1930s, defined as theoretical devices with an unlimited tape length that was divided into small squares. Turing machines worked and continue to work using read-write devices which read blanks and symbols on the tape to give the machine instructions on how to perform specific programs. [...]