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The elegant equations of classical electromagnetism written by James Clark Maxwell in 1861 display a remarkable symmetry between electric and magnetic fields except for their sources. We know about electric charges but we have not found magnetic charges. Bar magnets are dipoles with two poles, north and south, for the magnetic field, resembling the configuration of an electric field sourced by a pair of positive and negative electric charges. However, we had never seen experimental evidence for a magnetic monopole, namely a magnetic charge with only one magnetic pole, a net north or south, from where magnetic field lines emanate, just like the electric field sourced by an electric charge. In a symmetric theory of electromagnetism, magnetic monopoles should exist.

The existence of monopoles with a net magnetic charge was proposed by Paul Dirac in 1931 to explain the quantized (discrete) values of electric charges. Dirac found that magnetic charges should be an integer multiple of a fundamental unit, g_D, equal to the electron charge, e, divided by twice the fine-structure constant, or about 68.5e.

In classical physics, the existence of magnetic monopoles restores symmetry to Maxwell’s equations. But in the broader context of quantum mechanics, Gerard ‘t Hooft and Alexander Polyakov showed in 1974 that magnetic monopoles are required in Grand Unified Theories of the strong, weak and electromagnetic interactions. Since the electric charge is quantized, magnetic charges are unavoidable in these theories. Magnetic charges with the lowest mass must be stable because magnetic charge is conserved and they cannot decay into lower-mass particles.

Could a future superintelligence bring back the already dead? This discussion has come up a while back (and see the somewhat related); I’d like to resurrect the topic because … it’s potentially quite important.

Algorithmic resurrection is a possibility if we accept the same computational patternist view of identity that suggests cryonics and uploading will work. I see this as the only consistent view of my observations, but if you don’t buy this argument/belief set then the rest may not be relevant.

The general implementation idea is to run a forward simulation over some portion of earth’s history, constrained to enforce compliance with all recovered historical evidence. The historical evidence would consist mainly of all the scanned brains and the future internet.

Russellian monism is a theory in the metaphysics of mind, on which a single set of properties underlies both consciousness and the most basic entities posited by physics. The theory is named for Bertrand Russell, whose views about consciousness and its place in nature were informed by a structuralist conception of theoretical physics. On such a structuralist conception, physics describes the world in terms of its spatiotemporal structure and dynamics (changes within that structure) and says nothing about what, if anything, underlies that structure and dynamics. For example, as it is sometimes put, physics describes what mass and charge do, e.g., how they dispose objects to move toward or away from each other, but not what mass and charge are. Thus, Russell writes the following about the events physics describes:

All that physics gives us is certain equations giving abstract properties of their changes. But as to what it is that changes, and what it changes from and to—as to this, physics is silent. (Russell 1959: 18)

Russellian monism can be seen as breaking that silence. It posits properties that underlie the structure and dynamics that physics describes. Further, according to Russellian monism, those same properties are relevant to, and may at least partly constitute, consciousness.

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The universe seems to be ruled by equations and numbers. But why just these equations and why just those numbers? Is it just coincidence? In this video I have collected seven of the weirdest coincidences in physics.

This video comes with a quiz: https://quizwithit.com/start_thequiz/.

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ETH Zurich researchers have developed a locomotor control that can enable wheeled-legged robots to autonomously navigate various urban environments.

The robot was equipped with sophisticated navigational abilities thanks to a combination of machine learning algorithms. It was tested in the cities of Seville, Spain, and Zurich, Switzerland.

With little assistance from humans, the team’s ANYmal wheeled-legged robot accomplished autonomous operations in urban settings at the kilometer scale.

Some Google Chrome users report having issues connecting to websites, servers, and firewalls after Chrome 124 was released last week with the new quantum-resistant X25519Kyber768 encapsulation mechanism enabled by default.

Google started testing the post-quantum secure TLS key encapsulation mechanism in August and has now enabled it in the latest Chrome version for all users.

The new version utilizes the Kyber768 quantum-resistant key agreement algorithm for TLS 1.3 and QUIC connections to protect Chrome TLS traffic against quantum cryptanalysis.

Scientists have introduced a form of quantum entanglement known as frequency-domain photon number-path entanglement. This advance in quantum physics involves an innovative tool called a frequency beam splitter, which has the unique ability to alter the frequency of individual photons with a 50% success rate.

For years, the scientific community has delved into spatial-domain number-path entanglement, a key player in the realms of quantum metrology and information science.

This concept involves photons arranged in a special pattern, known as NOON states, where they’re either all in one pathway or another, enabling applications like super-resolution imaging that surpasses traditional limits, the enhancement of quantum sensors, and the development of quantum computing algorithms designed for tasks requiring exceptional phase sensitivity.

A new project unites world-leading experts in quantum computing and genomics to develop new methods and algorithms to process biological data.

Researchers aim to harness quantum computing to speed up genomics, enhancing our understanding of DNA and driving advancements in personalized medicine

A new collaboration has formed, uniting a world-leading interdisciplinary team with skills across quantum computing, genomics, and advanced algorithms. They aim to tackle one of the most challenging computational problems in genomic science: building, augmenting, and analyzing pangenomic datasets for large population samples. Their project sits at the frontiers of research in both biomedical science and quantum computing.