The advanced global tech market is set to experience the effect of quantum computing on artificial intelligence in 2022 and beyond. It is essential to integrate quantum computing into artificial intelligence models to boost decision-making abilities more efficiently.
A team of physicists at the University of Edinburgh’s School of Physics and Astronomy has used mathematical calculations to show that quantum communications across interstellar space should be possible. In their paper published in the journal Physical Review D, the group describes their calculations and also the possibility of extraterrestrial beings attempting to communicate with us using such signaling.
Over the past several years, scientists have been investigating the possibility of using quantum communications as a highly secure form of message transmission. Prior research has shown that it would be nearly impossible to intercept such messages without detection. In this new effort, the researchers wondered if similar types of communications might be possible across interstellar space. To find out, they used math that describes that movement of X-rays across a medium, such as those that travel between the stars. More specifically, they looked to see if their calculations could show the degree of decoherence that might occur during such a journey.
With quantum communications, engineers are faced with quantum particles that lose some or all of their unique characteristics as they interact with obstructions in their path—they have been found to be quite delicate, in fact. Such events are known as decoherence, and engineers working to build quantum networks have been devising ways to overcome the problem. Prior research has shown that the space between the stars is pretty clean. But is it clean enough for quantum communications? The math shows that it is. Space is so clean, in fact, that X-ray photons could travel hundreds of thousands of light years without becoming subject to decoherence—and that includes gravitational interference from astrophysical bodies. They noted in their work that optical and microwave bands would work equally well.
The US Department of Commerce’s National Institute of Standards and Technology (NIST) has selected the first-ever group of encryption tools that could potentially withstand the attack of a quantum computer.
The four selected encryption algorithms will now reportedly become part of NIST’s post-quantum cryptographic (PQC) standard, which should be finalized in about two years.
More specifically, for general encryption (used for access to secure websites), NIST has selected the CRYSTALS-Kyber algorithm.
The two tetraquarks, Tacs0 (2900)++ and Tacs0 (2900)0, are observed in joint analysis of the B0→ D0Ds+π– and B+→D– Ds+ π+ decays. The new tetraquarks are observed with masses around 2.9 GeV in both the Ds+π+ and Ds+π– mass spectra. The former corresponds to the first observation of a doubly charged open-charm tetraquark with minimal quark content csud and the latter is a neutral tetraquark composed of csud quarks. The Ds+π+ and Ds+π– mass spectra in the top images above indicate that the sum of contributions from conventional resonances (particles) cannot explain experimental distribution around the mass of 2.9 GeV. On the other hand, the experimental distributions are well understood when the contributions of the two new teraquarks are included in the analysis as shown in the two bottom images above. The mass and the width are determined to be 2.908±0.011±0.02 GeV and 0.136±0.023±0.011 GeV, respectively. The quantum numbers are determined to be JP=0+. In the language of particle physics the two tetraquarks are isospin partners.
In the conventional quark model, strongly interacting particles known as hadrons are formed either from quark-antiquark pairs (mesons) or three quarks (baryons). Particles which cannot be classified within this scheme are referred to as exotic hadrons. In their fundamental 1964 papers [1] and [2], in which they proposed the quark model, Murray Gell-Mann and George Zweig mentioned the possibility of adding a quark-antiquark pair to a minimal meson or baryon quark configuration. It took 50 years, however, for physicists to obtain unambiguous experimental evidence of the existence of these exotic hadrons. In April 2014 the LHCb collaboration published measurements that demonstrated that the Z(4430)– particle, first observed by the Belle collaboration, is composed of four quarks (ccdu).
https://www.youtube.com/watch?v=FSRLLVXKPWg&feature=youtu.be
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The future is now!
Technology continues to move forward at incredible speeds and it seems like every week we learn about a new breakthrough that changes our minds about what is possible.
Researchers in Toronto used a photonic quantum computer chip to solve a sampling problem that went way beyond the fastest computers and algorithms.
Continue reading “Quantum Processor Completes 9,000 Years of Work in 36 Microseconds” »
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
The world’s first quantum computer integrated circuit has been demonstrated by researchers in Australia. This could enable accurate simulations of molecules, leading to the creation of new materials.
Circa 2020
By utilizing a process that Einstein famously called “spooky,” scientists have successfully caught “ghosts” on film for the first time using quantum cameras.
The “ghosts” captured on camera weren’t the kind you might first think; scientists didn’t discover the wandering lost souls of our ancestors. Rather, they were able to capture images of objects from photons that never actually encountered the objects pictured. The technology has been dubbed “ghost imaging,” reports National Geographic.
Continue reading “New Quantum Camera Capable of Snapping Photos of ‘Ghosts’” »
The dynamic capability of these AI languages to change while the program is running is superior to languages relying on a batch method, in which the program must be compiled and executed prior to outputs. Plus, these quantum AI programming languages enable both data and code to be written as expressions. Since functions in these frameworks are written like lists, they’re readily processed like data, so specific programs can actually manipulate other programs via metaprogramming — which is key for their underlying flexibility. This advantage also translates into performance benefits in which such languages operate much faster in applications — such as those for bioinformatics involving genomics — aided by various dimensions of AI.
The AI effect
When enabled by flexible programming languages for developing AI, quantum computing allows organizations to perform AI calculations much faster, and at a greater scale, than they otherwise could. These programming languages also underpin both statistical and symbolic AI approaches enhanced by quantum computing. Optimization problems, for example, are traditionally solved in knowledge graph settings supporting intelligent inferences between constraints.
