Explained: Quantum engineering
Quantum computers could usher in a golden age of computing power, solving problems intractable on today’s machines.
Quantum computers could usher in a golden age of computing power, solving problems intractable on today’s machines.
Once deemed suitable only for high-speed communication systems, an alloy called InGaAs might one day rival silicon in high-performance computing.
Fiber optics built into a chip can deliver all the laser light needed to control ions for quantum computing and sensing.
Technique would allow addition of optical communication components to existing chips with little modification of their designs.
System enables large speedups — as much as 88-fold — on common parallel-computing algorithms.
AIM Photonics fall meeting attendees tackle plans for making computer chips with integrated optical devices and developing a regional workforce.
Design lets chip manage local memory stores efficiently using an Internet-style communication network.
“Lock-free” parallel algorithms may match performance of more complex “wait-free” algorithms.
A new language lets coders reason about the trade-off between fidelity of execution and power or time savings in the computers of the future.
MIT research shows that it may be time to let software, rather than hardware, manage the high-speed on-chip memory banks known as ‘caches.’
MIT researchers discover efficient control of magnetism in chiral ferromagnets.
New design for a basic component of all computer chips boasts the highest ‘carrier mobility’ yet measured.
MIT researchers develop the smallest indium gallium arsenide transistor ever built.
A new system makes hardware models of multicore chips more efficient, easier to design and more reliable.
The data-routing techniques that undergird the Internet could increase the efficiency of multicore chips while lowering their power requirements.