A fundamental trade-off between the resolution of a clock and its accuracy could have important implications for quantum computers, which must measure short timescales accurately.
By Alex Wilkins
A fundamental trade-off between the resolution of a clock and its accuracy could have important implications for quantum computers, which must measure short timescales accurately.
By Alex Wilkins
IonQ earns spot in the prestigious list of 119 innovative companies for innovation in quantum computing
COLLEGE PARK, Md., November 28, 2023 —(BUSINESS WIRE)— IonQ (NYSE: IONQ), an industry leader in quantum computing, today announced that it has been named to Fast Company’s third annual Next Big Things in Tech list, honoring technology breakthroughs that promise to shape the future of industries—from healthcare and security to artificial intelligence and data. This is IonQ’s first time appearing on the list.
“This recognition is not only a tremendous honor but a testament to the transformative impact and potential of our technology,” said Peter Chapman, President and CEO of IonQ. “IonQ is committed to advancing quantum computing capabilities to drive technological breakthroughs and solve complex business problems across industries. This award fuels our drive to continue pushing boundaries and breaking barriers.”
Should you start exploring quantum computing? Yes, said a panel of analysts convened at Tabor Communications HPC and AI on Wall Street conference earlier this year.
Without doubt, the quantum computing landscape remains murky. Yet in the past ~5 years virtually every aspect of quantum computing has raced forward. At least one 1000-plus-qubit system is edging towards user access now and another is expected by year-end. There’s been a proliferation of software offerings up and down the “quantum stack” though it’s hardly complete. Most promising, what were a few POC use-case explorations has mushroomed into very many efforts across many sectors.
What are we waiting for? Against the backdrop of astonishing progress are also very hard technical problems. Error correction/mitigation tops the list. Effective quantum networking is another. Polished applications. Too many qubit types to choose from (at least for now.) Scale matters – it’s expected that millions of qubits may be needed for practical quantum computing These aren’t trivial challenges. Why bother?
Recent advances in the development of devices made of 2D materials are paving the way for new technological capabilities, especially in the field of quantum technology. So far, however, little research has been carried out into energy losses in strongly interacting systems.
With this in mind, the team led by Professor Ernst Meyer from the Department of Physics at the University of Basel used an atomic force microscope in pendulum mode to investigate a graphene device in greater detail. For this, the researchers utilized a two-layer graphene, fabricated by colleagues at LMU Munich, in which the two layers were twisted by 1.08°
When stacked and twisted relative to one another, the two layers of graphene produce “moiré” superstructures, and the material acquires new properties. For example, when the two layers are twisted by the so-called magic angle of 1.08°, graphene becomes a superconductor at very low temperatures, conducting electricity with almost no energy dissipation.
Learn about quantum computing with Q-CTRL’s Black Opal!
Today, I’m diving into the interactive platform of Q-CTRL’s Black Opal to simplify quantum concepts and demonstrate quantum computing applications. This video is perfect for both beginners curious about quantum computing and seasoned professionals seeking looking for a broad overview of quantum computing applications.
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0:00 Learning Quantum Computing.
1:38 Traveling Salesman Problem.
3:26 Casino Games and Quantum Computing.
5:42 Race Against the Bloch Sphere!!
Traditional teaching methods often struggle with effectively conveying complex quantum concepts.
What can a quantum information theorist say about the certainty of arithmetic and the universality of mathematical truth?
German researchers hoping to be the first to successfully measure quantum flickering directly in a completely empty vacuum are setting their sights on 2024.
If successful, the first-of-their-kind experiments are expected to either confirm the existence of quantum energy in the vacuum, a core concept of quantum electrodynamics (QED), or potentially result in the discovery of previously unknown laws of nature.
Quantum Flickering, Ghost Particles, and Energy in the Vacuum.
Zero-knowledge proof (ZKP) is a cryptographic tool that allows for the verification of validity between mutually untrusted parties without disclosing additional information. Non-interactive zero-knowledge proof (NIZKP) is a variant of ZKP with the feature of not requiring multiple information exchanges. Therefore, NIZKP is widely used in the fields of digital signature, blockchain, and identity authentication.
Since it is difficult to implement a true random number generator, deterministic pseudorandom number algorithms are often used as a substitute. However, this method has potential security vulnerabilities. Therefore, how to obtain true random numbers has become the key to improving the security of NIZKP.
In a study published in PNAS, a research team led by Prof. Pan Jianwei and Prof. Zhang Qiang from the University of Science and Technology of China (USTC) of the Chinese Academy of Sciences, and the collaborators, realized a set of random number beacon public services with device-independent quantum random number generators as entropy sources and post-quantum cryptography as identity authentication.
Quantum advantage is the milestone the field of quantum computing is fervently working toward, where a quantum computer can solve problems that are beyond the reach of the most powerful non-quantum, or classical, computers.
Quantum refers to the scale of atoms and molecules where the laws of physics as we experience them break down and a different, counterintuitive set of laws apply. Quantum computers take advantage of these strange behaviors to solve problems.
There are some types of problems that are impractical for classical computers to solve, such as cracking state-of-the-art encryption algorithms. Research in recent decades has shown that quantum computers have the potential to solve some of these problems.
By using a special combination of laser beams as a very fast stirrer, RIKEN physicists have created multiple vortices in a quantum photonic system and tracked their evolution. This system could be used to explore exotic new physics related to the emergence of quantum states from vortex matter. The research is published in the journal Nano Letters.
In principle, if you were to swim in a pool filled with a superfluid, a single stroke would be all you need to swim an infinite number of laps. That’s because, unlike normal fluids like water, superfluids have no resistance to motion below a certain velocity.
Superfluids also behave weirdly when stirred. “If you stir a bucket of water, you typically get just one big vortex,” explains Michael Fraser of the RIKEN Center for Emergent Matter Science. “But when you rotate a superfluid, you initially create one vortex. And when you rotate it faster, you get progressively more and more vortices of precisely the same size.”