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Genetic and Evolutionary Computation Conference (GECCO)

DNA and quantum computers

Russell J. Deaton

Published Jul 7, 2001• 2 citations
OpenAlex

Abstract

Both DNA and quantum computers have the potential to exceed the power of conventional digital computers, though substantial technical difficulties first must be overcome. Through coherent superposition of states, quantum computers are more powerful than classical Turing machines. DNA computers are evolvable through biotechnology techniques. By combining DNA and quantum computers, both of these characteristics might be captured. DNA computers could be used to self-assemble quantum logic circuits from gates attached to DNA strands. Moreover, quantum computers might be implemented directly using the physical characteristics of the DNA molecule. 1

Related papers

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Quantum and DNA computing are both distributed and parallel types of computing. They're useful for tasks that require high-complexity computations and/or large data sets, such as searching, sorting, merging, pattern recognition, image processing, and encryption. Quantum and DNA algorithms cannot be efficiently simulated on classical computers because they are incapable of coping with parallelism. Quantum computers are more powerful than classical turing machines because of their coherent superposition of states. Biotechnology techniques can be used to evolve DNA computers. Both of these qualities could be captured by combining DNA and quantum computers. Self-assembling quantum logic circuits from gates attached to DNA strands could be achieved using DNA computers. In terms of how inputs are given and outputs are generated, multiple-valued Quantum and DNA computing can be combined in two ways. They can be named as: Multiple-Valued Quantum-DNA Computing, and Multiple-Valued DNA-Quantum Computing.

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Final Remarks

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The combination of multi-valued quantum and DNA computing can form multi-valued quantum-DNA and DNA-quantum computing. The potential for multiple-valued quantum molecular biology to contribute in the development of sustainable energy solutions is widely highlighted as a driving force behind the study, especially in terms of understanding quantum-coherent excitation energy conversion in photosynthetic systems. The characteristics of the DNA molecule aid in inducing quantum features such as superposition, tunneling, coherence, and entanglement. NMR is necessary for synthesizing a qubit from a DNA sequence, and NMR may be conducted at two temperatures: 0-kelvin and room temperature. To retrieve the appropriate DNA sequence, RNMR is employed to relax the qubit. In multiple-valued quantum computing, qubits are utilized to carry out operations, whereas in multiple-valued DNA computing, DNA sequences are employed as inputs. Using multiple-valued quantum-DNA computing the heat generated in multiple-valued quantum computing is used in multiple-valued DNA computing.

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Quantum computers might be built directly from the physical properties of the DNA molecule. Multi-Valued logic enhances the advantages of this combination. The combination of this quantum computing and DNA computing is called quantum molecular biology. This chapter describes the combinational circuits in multi-valued quantum-DNA computing. A balanced multiplexer is an essential component of a digital system that converts multiple inputs to a single output. This circuit is useful for building multi-valued arithmetic circuits. Demultiplexer circuits are among the most important circuits in the design of complex hardware. It maps a single input to multiple outputs. The Multi-Valued Encoder is a combinational logic circuit with 3 n input lines and n output lines that functions as a multi-input and multi-output device. An encoder is a critical component of a digital computer. A Quantum-DNA decoder first performs some Quantum operation on its inputs, then proceeds to the DNA operations after converting the qubit to its corresponding DNA molecule.

CRC Press eBooks•Aug 29, 2023•0 citations
Both DNA and quantum computers have the potential to exceed the power of conventional digital computers, though substantial technical difficulties first must be overcome. Through coherent superposition of states, quantum computers are more powerful than classical Turing machines. DNA computers are evolvable through biotechnology techniques. By combining DNA and quantum computers, both of these characteristics might be captured. DNA computers could be used to self-assemble quantum logic circuits from gates attached to DNA strands. Moreover, quantum computers might be implemented directly using the physical characteristics of the DNA molecule. 1
Quantum and DNA computing are both distributed and parallel types of computing. They're useful for tasks that require high-complexity computations and/or large data sets, such as searching, sorting, merging, pattern recognition, image processing, and encryption. Quantum and DNA algorithms cannot be efficiently simulated on classical computers because they are incapable of coping with parallelism. Quantum computers are more powerful than classical turing machines because of their coherent superposition of states. Biotechnology techniques can be used to evolve DNA computers. Both of these qualities could be captured by combining DNA and quantum computers. Self-assembling quantum logic circuits from gates attached to DNA strands could be achieved using DNA computers. In terms of how inputs are given and outputs are generated, multiple-valued Quantum and DNA computing can be combined in two ways. They can be named as: Multiple-Valued Quantum-DNA Computing, and Multiple-Valued DNA-Quantum Computing.
Both DNA computing and quantum computing have the potential to outperform ordinary digital computers, but considerable technical hurdles must be overcome first. Because of their coherent superposition of states, quantum computers are more powerful than traditional turing machines. DNA computers can be evolved via biotechnology techniques. Combining DNA and quantum computers could capture both of these properties. With this in mind, this chapter is devoted to DNA-Quantum Computing, which combines two distinct technologies. It discusses multi-valued DNA-Quantum multiplexer, demultiplexer, encoder and decoder. A balanced multiplexer is an essential component of a digital system that converts multiple inputs to a single output. This circuit is useful for building multi-valued arithmetic circuits. Demultiplexer circuits are among the most important circuits in the design of complex hardware. It maps a single input to multiple outputs. The Multi-Valued Encoder is a combinational logic circuit with 3 n input lines and n output lines that functions as a multi-input and multi-output device.
This research explores how quantum computing could revolutionize genomics, with a focus on how it could speed up DNA analysis and advance uses of artificial intelligence (AI) in genomics. This study’s primary objective is to investigate recent review articles and existing research results in order to demonstrate the tremendous effects that quantum computing may have on genomics.DNA analysis is expected to undergo a radical change as a result of quantum computing, which promises to revolutionize the field by substantially reducing processing times and resource needs. Additionally, it opens up fresh possibilities for improving AI methods used with genomics data. Quantum computing ushers in a paradigm shift in genomics research, enabling AI-driven drug discovery and customized medicine in addition to accelerating DNA sequencing and assembly.By addressing the significant difficulties brought on by the rapid expansion of genetic data and the requirement for more effective and scalable computational approaches, this publication emphasizes the significance of this study. The integration of quantum computing with genomics also raises ethical and security concerns, underscoring the significance of responsible research and use in this transformative era.In conclusion, this article highlights the potential of quantum computing to change genomics, delivering faster and more precise ways of analysis that will unquestionably have significant repercussions for healthcare, biotechnology, and scientific research. It emphasizes how important it is to keep up with the most recent advancements in this quickly changing area.
The combination of multi-valued quantum and DNA computing can form multi-valued quantum-DNA and DNA-quantum computing. The potential for multiple-valued quantum molecular biology to contribute in the development of sustainable energy solutions is widely highlighted as a driving force behind the study, especially in terms of understanding quantum-coherent excitation energy conversion in photosynthetic systems. The characteristics of the DNA molecule aid in inducing quantum features such as superposition, tunneling, coherence, and entanglement. NMR is necessary for synthesizing a qubit from a DNA sequence, and NMR may be conducted at two temperatures: 0-kelvin and room temperature. To retrieve the appropriate DNA sequence, RNMR is employed to relax the qubit. In multiple-valued quantum computing, qubits are utilized to carry out operations, whereas in multiple-valued DNA computing, DNA sequences are employed as inputs. Using multiple-valued quantum-DNA computing the heat generated in multiple-valued quantum computing is used in multiple-valued DNA computing.
The first computer originated as an ordinary calculator in 19th century. Subsequently, the rapid evolution of computers began. The massive amount of processing power generated by computer manufacturers has always failed to quench the thirst for speed and computing capacity. If, as Moore's Law states, the number of transistors on a microprocessor continues to double every 18 months, then soon we will find the circuits on a microprocessor being measured on an atomic scale. Today's advanced lithographic techniques can squeeze fraction of micron wide logic gates and wires onto the surface of silicon chips. Thus it can be seen that very soon we will be facing the need to create quantum computers which can harness the power of atoms and molecules to perform memory and processing tasks. Quantum computers have the potential to perform calculations a billion times faster than any silicon-based computer. Also, theories suggest that every physical object, even the universe, is in some sense a quantum computer. If this is the case, then according to Turing's work which says that all computers are functionally equivalent; computers should be able to model every physical process. Scientists have already built basic quantum computers that can perform certain calculations; but a practical quantum computer is still years away. In this paper, we will be discussing about the history, development and the future scope of quantum computing. The pros and cons of this future technology have also been compared and our analysis has been put forth.
Quantum computers might be built directly from the physical properties of the DNA molecule. Multi-Valued logic enhances the advantages of this combination. The combination of this quantum computing and DNA computing is called quantum molecular biology. This chapter describes the combinational circuits in multi-valued quantum-DNA computing. A balanced multiplexer is an essential component of a digital system that converts multiple inputs to a single output. This circuit is useful for building multi-valued arithmetic circuits. Demultiplexer circuits are among the most important circuits in the design of complex hardware. It maps a single input to multiple outputs. The Multi-Valued Encoder is a combinational logic circuit with 3 n input lines and n output lines that functions as a multi-input and multi-output device. An encoder is a critical component of a digital computer. A Quantum-DNA decoder first performs some Quantum operation on its inputs, then proceeds to the DNA operations after converting the qubit to its corresponding DNA molecule.