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Building a fault-tolerant quantum computer will require vast numbers of physical qubits. For qubit technologies based on solid-state electronic devices1–3, integrating millions of qubits in a single processor will require device fabrication to reach a scale comparable to that of the modern complementary metal–oxide–semiconductor (CMOS) industry. Equally important, the scale of cryogenic device testing must keep pace to enable efficient device screening and to improve statistical metrics such as qubit yield and voltage variation. Spin qubits1,4,5 based on electrons in Si have ...

SUNY Polytechnic Institute (SUNY Poly) announced today that Empire Innovation Professor of Nanoscale Science Dr. Alain Diebold has received funding from Onto Innovation Inc (“Onto Innovation” or “Onto”) to increase the capability of computer chip memory by characterizing the materials and multilayer structures which are used to fabricate high-aspect ratio 3D memory chips, such as DRAM.

Australian researchers have proven that near error-free quantum computing is possible, paving the way to build silicon-based quantum devices compatible with current semiconductor manufacturing technology. "Today's publication shows our operations...

A team of researchers have just smashed a quantum computing barrier. They’ve created a silicon-based device with better than 99 per cent accuracy. 

UNSW Sydney-led research paves the way for large silicon-based quantum processors for real-world manufacturing and application.