Saturday, July 4, 2026

Scientists Think Our Universe Could Be A Holographic Illusion

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As theoretical physics delves deeper into the fundamental nature of reality, we’re left to grapple with the questions it leaves us. For example, some physicists claim that our universe is merely an illusion, a product of quantum machinations happening in a lower-dimensional setting—in other words, a hologram. But do these latest theoretical insights offer revelations into reality, itself, or merely serve as mathematical tools to help us solve thorny problems?…….Continue reading….

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Source: Popular Mechanics

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The history of quantum information theory began at the turn of the 20th century when classical physics was revolutionized into quantum physics. The theories of classical physics were predicting absurdities such as the ultraviolet catastrophe, or electrons spiraling into the nucleus. At first these problems were brushed aside by adding ad hoc hypotheses to classical physics.

Soon, it became apparent that a new theory must be created in order to make sense of these absurdities, and the theory of quantum mechanics was born.Quantum mechanics was formulated by Erwin Schrödinger using wave mechanics and Werner Heisenberg using matrix mechanics. The equivalence of these methods was proven later.

Their formulations described the dynamics of microscopic systems but had several unsatisfactory aspects in describing measurement processes. Von Neumann formulated quantum theory using operator algebra in a way that it described measurement as well as dynamics.

These studies emphasized the philosophical aspects of measurement rather than a quantitative approach to extracting information via measurements. With the advent of Alan Turing’s revolutionary ideas of a programmable computer, or Turing machine, he showed that any real-world computation can be translated into an equivalent computation involving a Turing machine. This is known as the Church–Turing thesis.

Soon enough, the first computers were made, and computer hardware grew at such a fast pace that the growth, through experience in production, was codified into an empirical relationship called Moore’s law. This ‘law’ is a projective trend that states that the number of transistors in an integrated circuit doubles every two years. As transistors began to become smaller and smaller in order to pack more power per surface area, quantum effects started to show up in the electronics resulting in inadvertent interference.

This led to the advent of quantum computing, which uses quantum mechanics to design algorithms. At this point, quantum computers showed promise of being much faster than classical computers for certain specific problems. One such example problem was developed by David Deutsch and Richard Jozsa, known as the Deutsch–Jozsa algorithm. This problem however held little to no practical applications.

Peter Shor in 1994 came up with a very important and practical problem, one of finding the prime factors of an integer. The discrete logarithm problem as it was called, could theoretically be solved efficiently on a quantum computer but not on a classical computer hence showing that quantum computers should be more powerful than Turing machines.

Quantum information differs strongly from classical information, epitomized by the bit, in many striking and unfamiliar ways. While the fundamental unit of classical information is the bit, the most basic unit of quantum information is the qubit. Classical information is measured using Shannon entropy, while the quantum mechanical analogue is Von Neumann entropy. Given a statistical ensemble of quantum mechanical systems with the density matrix.

Many of the same entropy measures in classical information theory can also be generalized to the quantum case, such as Holevo entropy and the conditional quantum entropy. Unlike classical digital states (which are discrete), a qubit is continuous-valued, describable by a direction on the Bloch sphere. Despite being continuously valued in this way, a qubit is the smallest possible unit of quantum information, and despite the qubit state being continuous-valued, it is impossible to measure the value precisely.

Five famous theorems describe the limits on manipulation of quantum information. No-teleportation theorem, which states that a qubit cannot be (wholly) converted into classical bits; that is, it cannot be fully “read”. No-cloning theorem, which prevents an arbitrary qubit from being copied. No-deleting theorem, which prevents an arbitrary qubit from being deleted.

No-broadcast theorem, which prevents an arbitrary qubit from being delivered to multiple recipients, although it can be transported from place to place (e.g. via quantum teleportation). No-hiding theorem, which demonstrates the conservation of quantum information. These theorems are proven from unitarity, which according to Leonard Susskind is the technical term for the statement that quantum information within the universe is conserved.

The five theorems open possibilities in quantum information processing.Quantum mechanics is the study of how microscopic physical systems change dynamically in nature. In the field of quantum information theory, the quantum systems studied are abstracted away from any real world counterpart. A qubit might for instance physically be a photon in a linear optical quantum computer, an ion in a trapped ion quantum computer, or it might be a large collection of atoms as in a superconducting quantum computer.

Regardless of the physical implementation, the limits and features of qubits implied by quantum information theory hold as all these systems are mathematically described by the same apparatus of density matrices over the complex numbers. Another important difference with quantum mechanics is that while quantum mechanics often studies infinite-dimensional systems such as a harmonic oscillator, quantum information theory is concerned with both continuous-variable systems and finite-dimensional systems.

Quantum communication is one of the applications of quantum physics and quantum information. There are some famous theorems such as the no-cloning theorem that illustrate some important properties in quantum communication. Dense coding and quantum teleportation are also applications of quantum communication. They are two opposite ways to communicate using qubits.

While teleportation transfers one qubit from Alice and Bob by communicating two classical bits under the assumption that Alice and Bob have a pre-shared Bell state, dense coding transfers two classical bits from Alice to Bob by using one qubit, again under the same assumption, that Alice and Bob have a pre-shared Bell state.

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The Human Mind May Be No Match For Modern Life

ZME Science

The human brain did not evolve to wake up with an alarm clock, check strangers’ achievements on social media, learn about the latest global disaster and calculate its social worth before breakfast. Every single day. Yet for many people, that is modern life. A new scientific review argues that stress, loneliness, status anxiety, the fear of falling behind, and all the other angst typical of modern life may be partly understood as “evolutionary mismatch”……Continue reading….

By: Tibi Puiu

Source: ZME Science

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Critics:

Evolutionary mismatch (also “mismatch theory” or “evolutionary trap”) is the evolutionary biology concept that a previously advantageous trait may become maladaptive due to change in the environment, especially when change is rapid. It is said this takes place in animals. This phenomenon occurs as a result of a species’ environment and society changing faster than its biology, causing them to not be able to adapt to the modern world.

Environmental change leading to evolutionary mismatch can be broken down into two major categories: temporal (change of the existing environment over time, e.g. a climate change) or spatial (placing organisms into a new environment, e.g. a population migrating). Since environmental change occurs naturally and constantly, there will certainly be examples of evolutionary mismatch over time. However, because large-scale natural environmental change – like a natural disaster – is often rare, it is less often observed.

Another more prevalent kind of environmental change is anthropogenic (human-caused). In recent times, humans have had a large, rapid, and trackable impact on the environment, thus creating scenarios where it is easier to observe evolutionary mismatch.Because of the mechanism of evolution by natural selection, the environment (“nature”) determines (“selects”) which traits will persist in a population.

Therefore, there will be a gradual weeding out of disadvantageous traits over several generations as the population becomes more adapted to its environment. Any significant change in a population’s traits that cannot be attributed to other factors (such as genetic drift and mutation) will be responsive to a change in that population’s environment; in other words, natural selection is inherently reactive. Shortly following an environmental change, traits that evolved in the previous environment, whether they were advantageous or neutral, are persistent for several generations in the new environment.

Because evolution is gradual and environmental changes often occur very quickly on a geological scale, there is always a period of “catching-up” as the population evolves to become adapted to the environment. It is this temporary period of “disequilibrium” that is referred to as mismatch. Mismatched traits are ultimately addressed in one of several possible ways: the organism may evolve such that the maladaptive trait is no longer expressed, the organism may decline and/or become extinct as a result of the disadvantageous trait, or the environment may change such that the trait is no longer selected against.

The Neolithic Revolution brought about significant evolutionary changes in humans; namely the transition from a hunter-gatherer lifestyle, in which humans foraged for food, to an agricultural lifestyle. This change occurred approximately 10,000–12,000 years ago. Humans began to domesticate both plants and animals, allowing for the maintenance of constant food resources. This transition quickly and dramatically changed the way that humans interact with the environment, with societies taking up practices of farming and animal husbandry.

However, human bodies had evolved to be adapted to their previous foraging lifestyle. The slow pace of evolution in comparison with the very fast pace of human advancement allowed for the persistence of these adaptations in an environment where they are no longer necessary. In some human societies that now function in a vastly different way from the hunter-gatherer lifestyle, these outdated adaptations now lead to the presence of maladaptive, or mismatched, traits.Behavioral examples of evolutionary mismatch theory include the abuse of dopaminergic pathways and the reward system.

An action or behavior that stimulates the release of dopamine, a neurotransmitter known for generating a sense of pleasure, will likely be repeated since the brain is programmed to continually seek such pleasure. In hunter-gatherer societies, this reward system was beneficial for survival and reproductive success. But now, when there are fewer challenges to survival and reproducing, certain activities in the present environment (gambling, drug use, eating) exploit this system, leading to addictive behaviors.

Examples of evolutionary mismatch also occur in the modern workplace. Unlike our hunter-gatherer ancestors who lived in small egalitarian societies, the modern work place is large, complex, and hierarchical. Humans spend significant amounts of time interacting with strangers in conditions that are very different from those of our ancestral past. Hunter-gatherers do not separate work from their private lives, they have no bosses to be accountable to, or no deadlines to adhere to.

Our stress system reacts to immediate threats and opportunities. The modern workplace exploits evolved psychological mechanisms that are aimed at immediate survival or longer-term reproduction. These basic instincts misfire in the modern workplace, causing conflicts at work, burnout, job alienation and poor management practices.

Herbivores have created selective pressure for plants to possess specific molecules that deter plant consumption, such as nicotine, morphine, and cocaine. Plant-based drugs, however, have reinforcing and rewarding effects on the human neurological system, suggesting a “paradox of drug reward” in humans. Human behavioral evolutionary mismatch explains the contradiction between plant evolution and human drug use. In the last 10,000 years, humans found the dopaminergic system, or reward system, particularly useful in optimizing Darwinian fitness.

While drug use has been a common characteristic of past human populations, drug use involving potent substances and diverse intake methods is a relatively contemporary feature of society. Human ancestors lived in an environment that lacked drug use of this nature, so the reward system was primarily used in maximizing survival and reproductive success. In contrast, present-day humans live in a world where the current nature of drugs render the reward system maladaptive.

This class of drugs falsely triggers a fitness benefit in the reward system, leaving people susceptible to drug addiction. The modern-day dopaminergic system presents vulnerabilities to the difference in accessibility and social perception of drugs.

Leading human evolution researchers to gather in Gibraltar for Calpe Conference

An Experimental Alzheimer’s Drug Shows Promise Targeting a Different Brain Protein, New Study Shows

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