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Quantum computers, systems that perform computations by exploiting quantum mechanics phenomena, could help to efficiently tackle several complex tasks, including so-called combinatorial optimization problems. These are problems that entail identifying the optimal combination of variables among several options and under a series of constraints.

Quantum computers that can tackle these problems should be based on reliable hardware systems, which have an intricate all-to-all node connectivity. This connectivity ultimately allows graphs representing arbitrary dimensions of a problem to be directly mapped onto the computer hardware.

Researchers at University of Minnesota recently developed a new electronic device based on standard complementary metal oxide semiconductor (CMOS) technology that could support this crucial mapping process. This device, introduced in a paper in Nature Electronics, is a physics-based Ising solver comprised of coupled ring oscillators and an all-to-all node connected architecture.

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In 2022, leaders in the U.S. military technology and cybersecurity community said that they considered 2023 to be the “reset year” for quantum computing. They estimated the time it will take to make systems quantum-safe will match the time that the first quantum computers that threaten their security will become available: both around four to six years. It is vital that industry leaders quickly start to understand the security issues around quantum computing and take action to resolve the issues that will arise when this powerful technology surfaces.

Quantum computing is a cutting-edge technology that presents a unique set of challenges and promises unprecedented computational power. Unlike traditional computing, which operates using binary logic (0s and 1s) and sequential calculations, quantum computing works with quantum bits, or qubits, that can represent an infinite number of possible outcomes. This allows quantum computers to perform an enormous number of calculations simultaneously, exploiting the probabilistic nature of quantum mechanics.

Researchers at the University of Chicago revealed groundbreaking developments in the field of infrared technology that could lead to cost-effective sensors soon.

Colloidal quantum dots— semiconductor nanocrystals dispersed in a liquid solution— emit various colors depending on their size and are prevalent in today’s gadgets.

Their efficiency, cost-effectiveness, and ease of manufacturing have made them popular in applications such as TVs, where visible light is the outcome.

It is possible to image an object with an induced coherence effect by making use of photon pairs to gain information on the item of interest—without detecting the light probing it. While one photon illuminates the object, its partner alone is detected, thereby preventing the measurements of coincidence events to reveal information of the sought after object. This method can be made resilient to noise, as well.

In a new report published in Science Advances, Jorge Fuenzalida and a team in applied optics, precision engineering and theory communications in Germany experimentally showed how the method can be made resilient to noise. They introduced an imaging-distilled approach based on the interferometric modulation of the signal of interest to generate a high-quality image of an object regardless of the extreme noise levels surpassing the actual signal of interest.

Quantum imaging is a promising field that is emerging with valid advantages when compared to classical protocols. Researchers have demonstrated this method across different scenarios to work in the low-photon flux regime by making use of undetected probing photons for super-resolution imaging.

China’s ‘father of quantum’ Pan Jianwei and his team have been studying optical-lattice-based ultracold atomic systems since 2010.

Are you down with MIT, yeah you know me! Who’s down with MIT? Every last homie! Haha seriously though, that’s genius to figure out this stuff.

Groundbreaking study demonstrates control over quantum fluctuations, unlocking potential for probabilistic computing and ultra-precise field sensing.

A team of researchers from the Massachusetts Institute of Technology (MIT

Continue reading “Harnessing the Void: MIT Controls Quantum Randomness For the First Time” »

Scientists have developed a multifunctional metalens capable of structuring quantum emissions from single photon.

A photon is a particle of light. It is the basic unit of light and other electromagnetic radiation, and is responsible for the electromagnetic force, one of the four fundamental forces of nature. Photons have no mass, but they do have energy and momentum. They travel at the speed of light in a vacuum, and can have different wavelengths, which correspond to different colors of light. Photons can also have different energies, which correspond to different frequencies of light.

Researchers from the RIKEN Center for Quantum Computing have used machine learning to perform error correction for quantum computers—a crucial step for making these devices practical—using an autonomous correction system that despite being approximate, can efficiently determine how best to make the necessary corrections.

The research is published in the journal Physical Review Letters.

In contrast to classical computers, which operate on bits that can only take the basic values 0 and 1, quantum computers operate on “qubits”, which can assume any superposition of the computational basis states. In combination with quantum entanglement, another quantum characteristic that connects different qubits beyond classical means, this enables quantum computers to perform entirely new operations, giving rise to potential advantages in some computational tasks, such as large-scale searches, optimization problems, and cryptography.

Scientists from the University of Ottawa have invented a unique method to create better molecule-based magnets, known as single-molecule magnets (SMMs). This synthetic tour de force has resulted in a two-coordinate lanthanide complex which has magnet-like properties that are intrinsic to the molecule itself. This advancement paves the way for high-capacity hard drives, potential applications in quantum computing.

Performing computation using quantum-mechanical phenomena such as superposition and entanglement.