Category Physics

Engineers Collaborate with ChatGPT4 to Design Brain-Inspired Chips

Image of a cartoon person looking at a computer

Johns Hopkins electrical and computer engineers are pioneering a new approach to creating neural network chips—neuromorphic accelerators that could power energy-efficient, real-time machine intelligence for next-generation embodied systems like autonomous vehicles and robots.

Electrical and computer engineering graduate student Michael Tomlinson and undergraduate Joe Li—both members of the Andreou Lab—used natural language prompts and ChatGPT4 to produce detailed instructions to build a spiking neural network chip: one that operates much like the human brain.

Through step-by-step prompts to ChatGPT4, starting with mimicking a single biological neuron and then linking more to form a network, they generated a full chip design that could be fabricated.

“This is the first A...

Read More

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

20240220_1_fig_2.png
Semiconductor quantum dots
Credit: Xiao-Fei Liu et al.

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...

Read More

Umbrella for Atoms: The First Protective Layer for 2D Quantum materials

Schematic representation showing how a graphene layer protects against water. The electrical current flowing along the edge of the topological insulator indenene remains completely unaffected by external influences. (Image: Jörg Bandmann, pixelwg)

As silicon-based computer chips approach their physical limitations in the quest for faster and smaller designs, the search for alternative materials that remain functional at atomic scales is one of science’s biggest challenges. In a groundbreaking development, researchers have engineered a protective film that shields quantum semiconductor layers just one atom thick from environmental influences without compromising their revolutionary quantum properties...

Read More

Researchers Demonstrate 3D Nanoscale Optical Disk Memory with Petabit Capacity

High-capacity data storage is indispensable in today's digital economy. However, major storage devices like hard disk drives and semiconductor flash devices face limitations in terms of cost-effectiveness, durability, and longevity.Read More