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With climate change warming the oceans, this results in drastic consequences for marine life in deep water environments, but can steps be taken to help mitigate these effects? This is what a recent study published in Nature Communications hopes to address as a team of researchers from the United Kingdom investigated how “mixing down” oxygen levels in the ocean could help contribute to a more suitable environment for deep sea life. This study holds the potential to help scientists, conservationists, legislators, and the public better understand the steps that can be taken to mitigate the long-term effects of climate change.

Decreasing oxygen levels in the ocean is a natural phenomenon, but climate change has been predicted to accelerate this process, which could lead to massive decreases in oxygen levels in deep water environments and pose catastrophic consequences for marine life. For the study, the researchers used new methods that combine ocean water data from the Celtic Sea and computer models to ascertain how deep water oxygen levels could be replenished during the warmer summer months. In the end, they determined that summertime storms can result in the “mixing down” of oxygen and decrease this oxygen loss by almost half, which also shows promise for putting floating wind farms in the northern North Sea and Celtic Sea to assist in this process.

“There is growing concern for the health of our coastal oceans as the climate warms because warmer water holds less oxygen,” said Dr. Tom Rippeth, who is a Professor of Physical Oceanography at Bangor University and lead author of the study. “Living creatures in the ocean are reliant on oxygen to survive in the same way as animals on land are. Oxygen is also used up as rotting matter decomposes in the depths of the ocean. This creates a summer oxygen deficit in the deep seas around the UK. Unfortunately, as our climate warms, this deficit is forecast to grow.”

3D-stacking chiplets will be the standard to increase compute power going forward.

The Quantum Insider (TQI) is the leading online resource dedicated exclusively to Quantum Computing.

Photonic quantum computation, a type of quantum computation that uses light particles or photons, is divided into two main categories: discrete-variable (DV) and continuous-variable (CV) photonic quantum computation. Both have been realized experimentally and can be combined to overcome individual limitations. Photonic quantum computation is important as it can perform specific computational tasks more efficiently. It has several advantages, including the ability to observe and engineer quantum phenomena at room temperature, maintain coherence, and be engineered using mature technologies. The future of photonic quantum computing looks promising due to the significant progress in photonic technology.

Photonic quantum computation is a type of quantum computation that uses photons, particles of light, as the physical system for performing the computation. Photons are ideal for quantum systems because they operate at room temperature and photonic technologies are relatively mature. The field of photonic quantum computation is divided into two main categories: discrete-variable (DV) and continuous-variable (CV) photonic quantum computation.

In DV photonic quantum computation, quantum information is represented by one or more modal properties, such as polarization, that take on distinct values from a finite set. Quantum information is processed via operations on these modal properties and eventually measured using single photon detectors. On the other hand, in CV photonic quantum computation, quantum information is represented by properties of the electromagnetic field that take on any value in an interval, such as position. The electromagnetic field is transformed via Gaussian and non-Gaussian operations and then detected via homodyne detection.

This new SD card will support 8K video recording.

PRESS RELEASE — The full power of next-generation quantum computing could soon be harnessed by millions of individuals and companies, thanks to a breakthrough by scientists at Oxford University Physics guaranteeing security and privacy. This advance promises to unlock the transformative potential of cloud-based quantum computing and is detailed in a new study published in the influential U.S. scientific journal Physical Review Letters.

Quantum computing is developing rapidly, paving the way for new applications which could transform services in many areas like healthcare and financial services. It works in a fundamentally different way to conventional computing and is potentially far more powerful. However, it currently requires controlled conditions to remain stable and there are concerns around data authenticity and the effectiveness of current security and encryption systems.

Several leading providers of cloud-based services, like Google, Amazon, and IBM, already separately offer some elements of quantum computing. Safeguarding the privacy and security of customer data is a vital precursor to scaling up and expending its use, and for the development of new applications as the technology advances. The new study by researchers at Oxford University Physics addresses these challenges.

Rice University engineers have developed the smallest implantable brain stimulator demonstrated in a human patient. Thanks to pioneering magnetoelectric power transfer technology, the pea-sized device developed in the Rice lab of Jacob Robinson in collaboration with Motif Neurotech and clinicians Dr. Sameer Sheth and Dr. Sunil Sheth can be powered wirelessly via an external transmitter and used to stimulate the brain through the dura ⎯ the protective membrane attached to the bottom of the skull.

The device, known as the Digitally programmable Over-brain Therapeutic (DOT), could revolutionize treatment for drug-resistant depression and other psychiatric or neurological disorders by providing a therapeutic alternative that offers greater patient autonomy and accessibility than current neurostimulation-based therapies and is less invasive than other brain-computer interfaces (BCIs).

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Researchers have developed a “blind quantum computing” method enabling secure, scalable quantum cloud computing connecting quantum entities over networks.

Aalto University researchers are the first in the world to measure qubits with ultrasensitive thermal detectors—thus evading the Heisenberg uncertainty principle.

Chasing ever-higher qubit counts in near-term quantum computers constantly demands new feats of engineering.

Among the troublesome hurdles of this scaling-up race is refining how qubits are measured. Devices called parametric amplifiers are traditionally used to do these measurements. But as the name suggests, the device amplifies weak signals picked up from the qubits to conduct the readout, which causes unwanted noise and can lead to decoherence of the qubits if not protected by additional large components. More importantly, the bulky size of the amplification chain becomes technically challenging to work around as qubit counts increase in size-limited refrigerators.