to his seminal work on computing with DNA, the eld of DNA computing was initially developed. With digital switching primitives Mapping of a real biological problem to a quantum computer.

In general, a qubit is mathematically represented as a quantum state of the form $\lvert \psi\rangle = \alpha \lvert 0\rangle + \beta \lvert 1\rangle$, using the basis $\{ \lvert 0\rangle, \lvert 1\rangle \}$. A DNA computer is based on the fact the information is “encoded” within deoxyribonucleic acid (DNA) as as patterns of molecules known as nucleotides. 1947 – “Six electronic computers would be enough for the computing needs of the U.S.A.” Need for more computing power. Biological computing. But quantum computers are, by their very nature, unstable. A computer science professor at Amherst College has conducted experiments to test the speed of a quantum computing system (from D-Wave) against conventional computing methods. Superpositions of dipole states of base pairs consisting of purine (A,G) and pyrimidine (C,T) ring structures play the role of qubits, and quantum communication (coherence, entanglement, non-locality) occur in the “pi stack” region of the DNA molecule. The problem (for all of us), is that quantum mechanics has been demonstrated to govern everything including computer-code, and is now re-writing our understanding of biology. Quantum computing is the use of quantum-mechanical phenomena such as superposition and entanglement to perform computation.A quantum computer is used to perform such computation, which can be implemented theoretically or physically. Millions of dollars have been allocated to developing machines that could cause current computers to become obsolete. In applications to health and physiology, a prime example is a way we look at DNA. According to a 2015 research report by Google benchmarking a D-Wave quantum computer against traditional computers the quantum machine outperformed the traditional desktop by 108 times -- making it one hundred million times faster. But, what is the difference between quantum and classical computing?

The idea that individual molecules (or even atoms) could be used for computation dates to 1959, when American physicist Richard Feynman presented his ideas on nanotechnology. However, DNA computing doesn't harness quantum phenomenon to achieve parallelisation/quantum speedup, DNA computing still falls under the classical classification. Computing with molecules involves recognising the presence or absence of certain molecules, and so a natural application of DNA computing is to bring such programmability into the …
This DNA molecule could then be replicated many times over.

However, DNA computing seems to be the first example of true nanotechnology, forging a link between computational science and life science. Therefore, DNA computing or molecular computing is preferable to using silicon computer technology. Humanity’s need for ever greater computers is lively, however, and so researchers are racing to develop new breeds of computer (quantum computers, for example).



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