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Archive for the ‘quantum physics’ category: Page 410

Feb 2, 2022

IBM Unveils 127-Qubit Quantum Computer

Posted by in categories: computing, quantum physics

On November 16, during its online Quantum Summit, IBM announced that it had successfully completed initial development of the 127-qubit (quantum bit) Eagle quantum computer. Last year, IBM’s Hummingbird quantum computer handled 65 qubits, and, the year before that, the company’s Falcon quantum computer was handling calculations using 27 qubits. So the company has been steadily increasing the number of qubits that its quantum machines can handle, roughly doubling the number of operational qubits in its quantum machines on an annual basis. However, the Eagle quantum computer is the last member of IBM’s Quantum System One family. Designs have reached the limit of the cryogenic refrigerator used to cool the Josephson Junctions that hold the qubits, so IBM has had to work with Bluefors Cryogenics to develop a new, larger cryogenic platform for bigger machines.

If you don’t understand qubits or how quantum computers work, join the club. Nothing in the binary word of today’s digital computers prepares you to understand quantum computing, although there are some superficial similarities. For example, quantum computers store data in qubits just as digital computers store data in bits. However, a bit can store only a “1” or a “0.” Each qubit stores both a “1” and a “0” at the same time in a state of superposition. Consequently, information density is much higher for qubit storage.

Further, qubits can be entangled, a phenomenon that Albert Einstein once described as “spooky action at a distance.” Quantum entanglement, a property of the quantum world, was once the stuff of science fiction. However, it’s quite real and an important part of quantum computing.

Jan 31, 2022

Carbon nanomaterials for future quantum technologies

Posted by in categories: nanotechnology, quantum physics

An exceptionally large grant will allow a team of Empa researchers to work on an ambitious project over the next ten years: The Werner Siemens Foundation (WSS) is supporting Empa’s CarboQuant project with 15 million Swiss francs. The project aims to lay the foundations for novel quantum technologies that may even operate at room temperature – in contrast to current technologies, most of which require cooling to near absolute zero.

“With this project we are taking a big step into the unknown,” says Oliver Gröning who coordinates the project. “Thanks to the partnership with the Werner Siemens Foundation, we can now move much further away from the safe shore of existing knowledge than would be possible in our ‘normal’ day-to-day research. We feel a little like Christopher Columbus and are now looking beyond the horizon for something completely new.”

The expedition into the unknown now being undertaken by Empa researchers Pascal Ruffieux, Oliver Gröning and Gabriela Borin-Barin under the lead of Roman Fasel was preceded by twelve years of intensive research activity. The researchers from Empa’s [email protected] laboratory, headed by Fasel, regularly published their work in renowned journals such as Nature, Science and Angewandte Chemie.

Jan 31, 2022

IBM and CERN use quantum computing to hunt elusive Higgs boson

Posted by in categories: computing, finance, information science, particle physics, quantum physics

That is not to say that the advantage has been proven yet. The quantum algorithm developed by IBM performed comparably to classical methods on the limited quantum processors that exist today – but those systems are still in their very early stages.

And with only a small number of qubits, today’s quantum computers are not capable of carrying out computations that are useful. They also remain crippled by the fragility of qubits, which are highly sensitive to environmental changes and are still prone to errors.

Rather, IBM and CERN are banking on future improvements in quantum hardware to demonstrate tangibly, and not only theoretically, that quantum algorithms have an advantage.

Jan 30, 2022

Is spacetime a quantum code?

Posted by in categories: cosmology, quantum physics

In 2014, physicists found evidence of a deep connection between quantum error correction and the nature of space, time and gravity. Generally, gravity is defined as the fabric of space and time but beyond Einstein’s theory, there must be a quantum origin from which the space-time somehow emerges.

The three physicists at the origin of this discovery, Ahmed Almheiri, Xi Dong and Daniel Harlow, suggested that a holographic “emergence” of space-time works just like a quantum error-correcting code. In their paper “Bulk Locality and Quantum Error Correction in AdS/CFT” published in its first version in November 2014, they showed that space-time emerges from this quantum error correction code in an anti-de Sitter (AdS) universes.

Continue reading “Is spacetime a quantum code?” »

Jan 30, 2022

How Mathematical ‘Hocus-Pocus’ Saved Particle Physics

Posted by in categories: mathematics, particle physics, quantum physics

“It is what I would call a dippy process,” Richard Feynman later wrote. “Having to resort to such hocus-pocus has prevented us from proving that the theory of quantum electrodynamics is mathematically self-consistent.”

Justification came decades later from a seemingly unrelated branch of physics. Researchers studying magnetization discovered that renormalization wasn’t about infinities at all. Instead, it spoke to the universe’s separation into kingdoms of independent sizes, a perspective that guides many corners of physics today.

Renormalization, writes David Tong, a theorist at the University of Cambridge, is “arguably the single most important advance in theoretical physics in the past 50 years.”

Jan 30, 2022

Quantum Computers Could Crack Bitcoin. Here’s What It Would Take

Posted by in categories: bitcoin, chemistry, cryptocurrencies, cybercrime/malcode, encryption, energy, mathematics, quantum physics, supercomputing

Quantum computers could cause unprecedented disruption in both good and bad ways, from cracking the encryption that secures our data to solving some of chemistry’s most intractable puzzles. New research has given us more clarity about when that might happen.

Modern encryption schemes rely on fiendishly difficult math problems that would take even the largest supercomputers centuries to crack. But the unique capabilities of a quantum computer mean that at sufficient size and power these problems become simple, rendering today’s encryption useless.

That’s a big problem for cybersecurity, and it also poses a major challenge for cryptocurrencies, which use cryptographic keys to secure transactions. If someone could crack the underlying encryption scheme used by Bitcoin, for instance, they would be able to falsify these keys and alter transactions to steal coins or carry out other fraudulent activity.

Jan 28, 2022

Study reveals topology at the corner of the dining table

Posted by in categories: mathematics, mobile phones, nanotechnology, quantum physics

A joint research team from the Hong Kong University of Science and Technology (HKUST) and the University of Tokyo discovered an unusual topological aspect of sodium chloride, commonly known as table salt, which will not only facilitate the understanding of the mechanism behind salt’s dissolution and formation, but may also pave the way for the future design of nanoscale conducting quantum wires.

There is a whole variety of advanced materials in our daily life, and many gadgets and technology are created through the assembly of different materials. Cellphones, for example, adopted a combination of many different substances—glass for the monitor, aluminum alloy for the frame, and metals like gold, silver and copper for their internal wiring. But nature has its own genius way of ‘cooking’ different properties into one wonder material, or what is known as ‘topological material’.

Topology, as a mathematical concept, studies what aspects of an object are robust under a smooth deformation. For instance, we can squeeze, stretch, or twist a T-shirt, but the number its openings would still be four so long as we do not tear it apart. The discovery of topological phases of matter, highlighted by the 2016 Nobel Prize in Physics, suggests that certain quantum materials are inherently a combination of electrical insulators and conductors. This could necessitate a conducting boundary even when the bulk of the material is insulating. Such materials are neither classified as a metal nor an insulator, but a natural assembly of the two.

Jan 28, 2022

USRA-Rigetti-NASA team advances to DARPA ONISQ Phase 2

Posted by in categories: quantum physics, robotics/AI, space

Columbia, Maryland — January 27, 2022. Universities Space Research Association (USRA) today announced the start of operations for phase-2 of DARPA’s Optimization with Noisy Intermediate Scale Quantum devices (ONISQ) program. This award follows the ONISQ phase 1 launch in 2020, in which USRA was selected to lead the “Scheduling Applications with Advanced Mixers” (SAAM) project, in collaboration with Rigetti Computing and, through DARPA, under DARPA-NASA Interagency agreement (IAA) 8,839 Annex 114, with the NASA Quantum AI Laboratory.

Jan 28, 2022

Silicon-based Quantum Computing Reaches Accuracy Milestone

Posted by in categories: computing, quantum physics

Three separate teams worldwide published the feat on Nature — all on the same day.


In a historic milestone for silicon-based quantum computing systems, three separate teams of researchers have published papers on Nature, detailing the steps and system architecture required for fault-tolerant quantum computing.

Jan 28, 2022

Twist: MIT’s New Programming Language for Quantum Computing

Posted by in categories: computing, quantum physics

Time crystals. Microwaves. Diamonds. What do these three disparate things have in common?

Quantum computing. Unlike traditional computers that use bits, quantum computers use qubits to encode information as zeros or ones, or both at the same time. Coupled with a cocktail of forces from quantum physics, these refrigerator-sized machines can process a whole lot of information — but they’re far from flawless. Just like our regular computers, we need to have the right programming languages to properly compute on quantum computers.

Programming quantum computers requires awareness of something called “entanglement,” a computational multiplier for qubits of sorts, which translates to a lot of power. When two qubits are entangled, actions on one qubit can change the value of the other, even when they are physically separated, giving rise to Einstein’s characterization of “spooky action at a distance.” But that potency is equal parts a source of weakness. When programming, discarding one qubit without being mindful of its entanglement with another qubit can destroy the data stored in the other, jeopardizing the correctness of the program.