This experiment offers new insights into quantum mechanics, simulating how an electron might spontaneously move backward in time.
Here, the authors present a data storage and computation engine comprised of DNA adsorbed to soft dendricolloids, demonstrating end-to-end capabilities from archival storage to non-destructive file access for reading, erasing, rewriting and computing.
Dynamic nuclear polarization (DNP) has revolutionized the field of nanoscale nuclear magnetic resonance (NMR), making it possible to study a wider range of materials, biomolecules and complex dynamic processes such as how proteins fold and change shape inside a cell.
A team of researchers at the University of Waterloo are combining pulsed DNP with nanoscale magnetic resonance force microscopy (MRFM) measurements to demonstrate that this process can be implemented on the nanoscale with high efficiency. The effort is overseen by Dr. Raffi Budakian, faculty member of the Institute for Quantum Computing and a professor in the Department of Physics and Astronomy, and his team consisting of Sahand Tabatabaei, Pritam Priyadarshi, Namanish Singh, Pardis Sahafi, and Dr. Daniel Tay.
The research has been published in Science Advances (“Large-Enhancement Nanoscale Dynamic Nuclear Polarization Near a Silicon Nanowire Surface”).
Researchers from North Carolina State University and Johns Hopkins University have demonstrated a technology capable of a suite of data storage and computing functions – repeatedly storing, retrieving, computing, erasing or rewriting data – that uses DNA rather than conventional electronics. Previous DNA data storage and computing technologies could complete some but not all of these tasks.
“In conventional computing technologies, we take for granted that the ways data are stored and the way data are processed are compatible with each other,” says project leader Albert Keung, co-corresponding author of a paper on the work (Nature Nanotechnology, “A Primordial DNA Store and Compute Engine”). “But in reality, data storage and data processing are done in separate parts of the computer, and modern computers are a network of complex technologies,” Keung is an associate professor of chemical and biomolecular engineering and a Goodnight Distinguished Scholar at NC State.
“DNA computing has been grappling with the challenge of how to store, retrieve and compute when the data is being stored in the form of nucleic acids,” Keung says. “For electronic computing, the fact that all of a device’s components are compatible is one reason those technologies are attractive. But, to date, it’s been thought that while DNA data storage may be useful for long-term data storage, it would be difficult or impossible to develop a DNA technology that encompassed the full range of operations found in traditional electronic devices: storing and moving data; the ability to read, erase, rewrite, reload or compute specific data files; and doing all of these things in programmable and repeatable ways.
https://www.youtube.com/watch?app=desktop&v=2dK3ABl-KWQ
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Timestamps:
00:00 — Breakthrough in Quantum Computing.
10:45 — Quantum Teleportation achieved.
15:38 — New Quantum Devices.
20:00 — Explaining my absence.
Neuromorphic computing memristors are attractive to construct low-power-consumption electronic textiles. Here, authors report an ultralow-power textile memristor network of Ag/MoS2/HfAlOx/carbon nanotube with reconfigurable characteristics and firing energy consumption of 1.9 fJ/spike.
In the past decade, lab-grown blobs of human brain tissue began making news headlines, as they ushered in a new era of scientific discovery and raised a slew of ethical questions.
These blobs — scientifically known as brain organoids, but often called “minibrains” in the news — serve as miniature, simplified models of full-size human brains. These organoids can potentially be useful in basic research, drug development and even computer science.
Hoque, M.A., George, A., Ramachandra, V. et al. All-2D CVD-grown semiconductor field-effect transistors with van der Waals graphene contacts. npj 2D Mater Appl 8, 55 (2024). https://doi.org/10.1038/s41699-024-00489-2
A team of scientists in the United States has achieved a notable milestone in the domain of superconductors. This progress may have considerable consequences for the future of quantum computing.
The research details the development of a novel superconductor material that has the potential to transform quantum computing and potentially function as a “topological superconductor.”
A topological superconductor is a special kind of material that exhibits superconductivity (zero electrical resistance) and also has unique properties related to its shape or topology.
