Menu

Blog

Archive for the ‘computing’ category: Page 106

Mar 19, 2024

Artificial nanofluidic synapses can store computational memory

Posted by in categories: computing, neuroscience

Memory, or the ability to store information in a readily accessible way, is an essential operation in computers and human brains. A key difference is that while brain information processing involves performing computations directly on stored data, computers shuttle data back and forth between a memory unit and a central processing unit (CPU). This inefficient separation (the von Neumann bottleneck) contributes to the rising energy cost of computers.

Mar 19, 2024

Grimes Using Custom Brain Interface From Elon Musk Competitor

Posted by in categories: computing, Elon Musk, neuroscience

Year 2023 😗😁


Famed musician and former Elon Musk boo Claire “Grimes” Boucher wanted a brain-computer interface (BCI) for her birthday — and one of Neuralink’s apparent competitors was happy to comply.

After Grimes tweeted about getting a “non invasive brain computer interface” for her birthday, AJ Keller, the CEO of the startup Neurosity, confirmed in an interview with Insider that his firm had indeed made a custom brain gadget for the “Kill V. Maim” singer.

Continue reading “Grimes Using Custom Brain Interface From Elon Musk Competitor” »

Mar 19, 2024

Shortcut to Success: Toward fast and robust Quantum Control through Accelerating Adiabatic Passage

Posted by in categories: computing, quantum physics

Researchers at Osaka University’s Institute of Scientific and Industrial Research (SANKEN) used the shortcuts to the adiabaticity (STA) method to greatly speed-up the adiabatic evolution of spin qubits. The spin flip fidelity after pulse optimization can be as high as 97.8% in GaAs quantum dots. This work may be applicable to other adiabatic passage and will be useful for fast and high-fidelity quantum control.

A quantum computer uses the superposition of “0” and “1” states to perform information processing, which is completely different from classical computing, thus allowing for the solution of certain problems at a much faster rate.

High-fidelity quantum state operation in large enough programmable qubit spaces is required to achieve the “quantum advantage.” The conventional method for changing quantum states uses pulse control, which is sensitive to noises and control errors.

Mar 19, 2024

1312.4455–2.pdf

Posted by in categories: computing, quantum physics

The universe as quantum computer by Seth Loyd.


Shared with Dropbox.

Mar 19, 2024

Mathematicians plan computer proof of Fermat’s last theorem

Posted by in categories: computing, mathematics

Fermat’s last theorem puzzled mathematicians for centuries until it was finally proven in 1993. Now, researchers want to create a version of the proof that can be formally checked by a computer for any errors in logic.

By Alex Wilkins

Mar 19, 2024

Ferroelectric compute-in-memory annealer for combinatorial optimization problems

Posted by in categories: computing, information science

Yin et al. realize a FeFET based compute-in-memory annealer as an efficient combinatorial optimization solver through algorithm-hardware co-design with a FeFET chip, matrix lossless compression, and a multi-epoch simulated annealing algorithm.

Mar 18, 2024

Large-scale kinetic simulations of colliding plasmas within a hohlraum of indirect-drive inertial confinement fusion

Posted by in categories: computing, physics

Authors: Tianyi Liang, Dong Wu, Xiaochuan Ning, Lianqiang Shan, Zongqiang Yuan, Hongbo Cai, Zhengmao Sheng, and Xiantu He. Discover more in PRE:


The National Ignition Facility has recently achieved successful burning plasma and ignition using the inertial confinement fusion (ICF) approach. However, there are still many fundamental physics phenomena that are not well understood, including the kinetic processes in the hohlraum. Shan et al. [Phys. Rev. Lett. 120, 195001 (2018)] utilized the energy spectra of neutrons to investigate the kinetic colliding plasma in a hohlraum of indirect drive ICF. However, due to the typical large spatial-temporal scales, this experiment could not be well simulated by using available codes at that time. Utilizing our advanced high-order implicit PIC code, LAPINS, we were able to successfully reproduce the experiment on a large scale of both spatial and temporal dimensions, in which the original computational scale was increased by approximately seven to eight orders of magnitude.

Mar 17, 2024

This soft brain implant unfurls its arms under the skull

Posted by in categories: biotech/medical, computing, neuroscience

A soft brain implant that unfurls under the skull could give doctors a less invasive way to monitor patients’ brain activity — and maybe allow people to directly control technology with their minds.

The challenge: Placing an electrode array on the surface of the brain allows scientists to see neural activity in far more detail than is possible with electrodes outside of the skull.

Continue reading “This soft brain implant unfurls its arms under the skull” »

Mar 17, 2024

Entanglion, a quantum computing board game developed by @IBMQuantum

Posted by in categories: business, computing, entertainment, quantum physics

https://entanglion.github.io


Congratulations, your captain has retired and left you in charge of his galactic shipping business! Now it’s time to make some upgrades as you embark on a journey to reconstruct a quantum computer developed by an ancient race.

Entanglion is a cooperative board game designed for two players. Learn about quantum computing as you work together with your teammate to navigate the three galaxies of the quantum universe, avoid detection by the defense mechanisms left behind by the ancients, and rebuild the quantum computer.

Continue reading “Entanglion, a quantum computing board game developed by @IBMQuantum” »

Mar 17, 2024

MIT’s Electron Spin Magic Sparks Computing Evolution

Posted by in categories: computing, particle physics

An MIT team precisely controlled an ultrathin magnet at room temperature, which could enable faster, more efficient processors and computer memories.

Experimental computer memories and processors built from magnetic materials use far less energy than traditional silicon-based devices. Two-dimensional magnetic materials, composed of layers that are only a few atoms thick, have incredible properties that could allow magnetic-based devices to achieve unprecedented speed, efficiency, and scalability.

While many hurdles must be overcome until these so-called van der Waals magnetic materials can be integrated into functioning computers, MIT researchers took an important step in this direction by demonstrating precise control of a van der Waals magnet at room temperature.