Circa 2010 face_with_colon_three
The evidence is growing that quantum processes play a crucial role in photosynthesis, even at room temperature.
An encryption tool co-created by a University of Cincinnati math professor will soon safeguard the telecommunications, online retail and banking and other digital systems we use every day.
The National Institute of Standards and Technology chose four new encryption tools designed to thwart the next generation of hackers or thieves. One of them, called CRYSTALS-Kyber, is co-created by UC College of Arts and Sciences math professor Jintai Ding.
“It’s not just for today but for tomorrow,” Ding said. “This is information that you don’t want people to know even 30 or 50 years from now.”
Although quantum computing is not commercially available, CISA (Cybersecurity and Infrastructure Security Agency) urges organizations to prepare for the dawn of this new age, which is expected to bring groundbreaking changes in cryptography, and how we protect our secrets.
The agency published a paper earlier in the week, calling for leaders to start preparing for the migration to stronger secret guarding systems, exploring risk mitigation methods, and participating in developing new standards.
As the size of modern technology shrinks down to the nanoscale, weird quantum effects—such as quantum tunneling, superposition, and entanglement—become prominent. This opens the door to a new era of quantum technologies, where quantum effects can be exploited. Many everyday technologies make use of feedback control routinely; an important example is the pacemaker, which must monitor the user’s heartbeat and apply electrical signals to control it, only when needed. But physicists do not yet have an equivalent understanding of feedback control at the quantum level. Now, physicists have developed a “master equation” that will help engineers understand feedback at the quantum scale. Their results are published in the journal Physical Review Letters.
“It is vital to investigate how feedback control can be used in quantum technologies in order to develop efficient and fast methods for controlling quantum systems, so that they can be steered in real time and with high precision,” says co-author Björn Annby-Andersson, a quantum physicist at Lund University, in Sweden.
An example of a crucial feedback-control process in quantum computing is quantum error correction. A quantum computer encodes information on physical qubits, which could be photons of light, or atoms, for instance. But the quantum properties of the qubits are fragile, so it is likely that the encoded information will be lost if the qubits are disturbed by vibrations or fluctuating electromagnetic fields. That means that physicists need to be able to detect and correct such errors, for instance by using feedback control. This error correction can be implemented by measuring the state of the qubits and, if a deviation from what is expected is detected, applying feedback to correct it.
Quantum computers promise to propel computing far beyond what today’s computers are capable of, but this potential has yet to be realized. In their search for a way to demonstrate quantum supremacy, researchers working in the EU-funded PHOQUSING project are developing a hybrid computational system based on cutting-edge integrated photonics that combines classical and quantum processes.
The project’s goal is to develop a quantum sampling machine that will put Europe at the forefront of photonic quantum computing. With this goal in mind, PHOQUSING project partner QuiX Quantum in the Netherlands has created the largest quantum photonic processor compatible with quantum dots (nanometer-sized semiconductor crystals that emit light of various colors when illuminated by ultraviolet light). The processor is the central component of the quantum sampling machine, a near-term quantum computing device able to show a quantum advantage.
“Quantum sampling machines based on light are believed to be very promising for showing a quantum advantage,” reports a news item posted on the QuiX Quantum website. “The problem of drawing samples from a probability distribution, mathematically too complex for a classical computer, can be solved easily by letting light propagating [sic] through such quantum sampling machines. At the very core of quantum sampling machines there are large-scale linear optical interferometers, i.e. photonic processors.”
Circa 2019 face_with_colon_three Biological singularity here we come :3.
Scientific Reports volume 9, Article number: 12,181 (2019) Cite this article.
Given the potential scope and capabilities of quantum technology, it is absolutely crucial not to repeat the mistakes made with AI—where regulatory failure has given the world algorithmic bias that hypercharges human prejudices, social media that favors conspiracy theories, and attacks on the institutions of democracy fueled by AI-generated fake news and social media posts. The dangers lie in the machine’s ability to make decisions autonomously, with flaws in the computer code resulting in unanticipated, often detrimental, outcomes. In 2021, the quantum community issued a call for action to urgently address these concerns. In addition, critical public and private intellectual property on quantum-enabling technologies must be protected from theft and abuse by the United States’ adversaries.
https://urldefense.com/v3/__https:/www.youtube.com/watch?v=5…MexaVnE%24
There are national defense issues involved as well. In security technology circles, the holy grail is what’s called a cryptanalytically relevant quantum computer —a system capable of breaking much of the public-key cryptography that digital systems around the world use, which would enable blockchain cracking, for example. That’s a very dangerous capability to have in the hands of an adversarial regime.
Continue reading “Quantum computing is an even bigger threat than artificial intelligence” »
Researchers use artificial intelligence to translate brain waves from fMRI into photos. Quantum computing breakthrough requires very little data to train AI. New deep learning framework for robotic arm art.
AI News Timestamps:
0:00 New AI Turns Brain Waves Into Photos.
3:24 Quantum Computing AI Breakthrough.
6:01 Deep Learning Robotic Arm.
Physicists from TU Delft, ETH Zürich and the University of Tübingen have built a quantum scale heat pump made from particles of light. This device brings scientists closer to the quantum limit of measuring radio frequency signals, which may be useful in the hunt for dark matter. Their work will be published as an open-access article in Science Advances on Aug. 26.
If you bring two objects of different temperature together, such as putting a warm bottle of white wine into a cold chill pack, heat usually flows in one direction, from hot (the wine) to cold (the chill pack). And if you wait long enough, the two will both reach the same temperature, a process known in physics as reaching equilibrium: a balance between the heat flow one way and the other.
If you are willing to do some work, you can break this balance and cause heat to flow in the “wrong” way. This is the principle used in your refrigerator to keep your food cold, and in efficient heat pumps that can steal heat from the cold air outside to warm your house. In their publication, Gary Steele and his co-authors demonstrate a quantum analog of a heat pump, causing the elementary quantum particles of light, known as photons, to move “against the flow” from a hot object to a cold one.
Interaction between glass spheres suspended in a vacuum might one day lead to advances in quantum computing.
