Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain
the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in
Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles
and JavaScript.
Artificial intelligence models continue to advance rapidly, but questions about energy consumption remain, increasing the need for new energy-efficient hardware.
The development of transistors based on two-dimensional semiconductors requires a consistent approach to calculating and evaluating quantum contact resistances.
The demonstration of coherent control of a superconducting qubit in 1998 helped trigger the development of quantum computing platforms using solid-state devices and circuits. Yasunobu Nakamura recounts how this Cooper-pair-box experiment was devised.
Large-scale control electronics, operating at cryogenic temperatures, are needed to run practical quantum computers. But scaling such electronics means addressing substantial challenges related to power consumption.
The potential value of quantum computing remains uncertain, which creates substantial risks for any quantum computing start-up. But the successes and failures seen so far in the quantum innovation ecosystem hold lessons for the field.
Technology breakthroughs at the 2024 IEEE International Electron Devices Meeting, which this year has a focus on shaping tomorrow’s semiconductor technology.
Carolina Aguilar, CEO of INBRAIN Neuroelectronics, tells Nature Electronics about the company’s work on graphene-based brain–computer interfaces and their recent in-patient tests.