Posted on Dec 31, 2018
"We are asking whether the origin of life is quantum mechanics," says the group behind the new research, in order to respond to the question posed by quantum mechanics in quantum mechanics. The proposal was announced in October 2018, one of the most mysterious mysteries established in science: what happens when the inertia of matter arises?
For the first time, with a quantum computer, the individual organisms that represent microbial levels interact with the "quater" superconductors and form some of the major factors that affect the evolution of "dying".
"The purpose of the proposed model is to reproduce distinctive Darwinian evolutionary processes, adapted to quantum algorithms and quantum computing," says Science Alerts. To this end, the researchers used five qubit IBM QX4 quantum computers to reach IBM in the cloud. Quantum computers use qubits, whose value for information is a combination of two to one. This property, known as superposition, is the largest quantum computer with more information processing than classical computers.
The researcher led by Enrique Solano, the University of the Basque Country in Spain, has two coded units of quantum life consisting of two cubes (quantum physics basic construction), a genotype (genera of generational code) and a phenotype representation (external code or "body"). . These units were scheduled to be reproduced, modified, evolved and killed, partly using quantum entanglement.
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A new study published in scientific research is perhaps a step forward in responding to the question that can be explained by the quantum mechanics of life, the theory of physics describing the universe according to the interatomic particle interactions.
This quantum algorithm simulated the main biological processes, such as self-assessment, mutation, interaction between individuals and qubits. The final result was a simulation of an evolutionary evolution in the microscopic level, a complex macroscopic characteristic of life, living matter. The individuals were represented using the model with two qubits. Qubit's individual genotype, behind a specific characteristic, genetic code and the other represents the phenotype or physical expression of this characteristic.
In order to model self-replication, the algorithm copies the value of the genotype expectation (calculates the average of all abilities), a new qubit enthalpide, qubits a process that binds the qubits, which is immediately exchanged between them. By mutations, the researchers applied multiplication of the kubite genotype qubits to the algorithm.
The algorithm modeled the interaction between the individual and its environment, through the representation of aging and end death, by replicating the action of the new genotype by replicating the action and transferring it through another one. It represents the individual phenotype of the new Qubit. Individual life depends on the information coded in this phenotype.
In the end, these people interacted with each other, requiring four qubits (two genotypes and two phenotypes), but the phenotypes interacted and exchanged information with their qubits genotypically codified criteria. A new interaction emerged and the process started again. In total, researchers repeated over 24,000 times.
"Our quantum individuals encourage the adaptive effort in Darwin's quantum evolution, and quantify quantum information efficiently through multi-qubit entangled generations of great states," they wrote.
The computing technology for the so-called "quantum supremacy" has not yet been enough, Solano and his colleagues could ultimately model the evolution of quantum computers without first feeding the human-engineered algorithm.
"What we demonstrate here is that quantum quantum systems and microscopes allow efficient encoding of quantum features and biological behaviors, commonly associated with living systems and natural selection," the team concluded.
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Daily Galaxy University of the Basque Country, Motherboard and ScienceAlerts