qubits

Andrea Morello stands in front of a transparent blackboard to explain Maxwell's Demon

UNSW Sydney research demonstrates a 20x improvement in resetting a quantum bit to its ‘0’ state, using a modern version of the ‘Maxwell’s demon’.

An artist's impression of a silicon chip among lights and colours

UNSW engineers have substantially extended the time that their quantum computing processors can hold information by more than 100 times compared to previous results.

ed_husic_michelle_simmons_attila_brungs_at_unsw.jpeg

The technical breakthrough, announced at an event at UNSW Sydney today, was published in the journal Nature.

lead researcher michelle simmons

Quantum computing hardware specialists at UNSW have built a quantum processor in silicon to simulate an organic molecule with astounding precision.

Asaad Serwan, Andrea Morello and Mateusz Mądzik among their quantum computing equipment

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

Asaad Serwan, Andrea Morello and Mateusz Mądzik among their quantum computing equipment

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

Dr Jarryd Pla and Prof. Andrew Dzurak look from behind a transparent screen showing mathematical workings

A decades-old problem about how to reliably control millions of qubits in a silicon quantum computer chip has now been solved.

Henry Yang and Andrew Dzurak

A proof-of-concept published today in Nature promises warmer, cheaper and more robust quantum computing. And it can be manufactured using conventional silicon chip foundries.

Quantum computing device

In a breakthrough for quantum computing, researchers at UNSW Sydney have made improved qubits using concepts from high school chemistry.

Professor Andrew Dzurak and team

After being the first team to create a two-qubit gate in silicon in 2015, UNSW Sydney engineers are breaking new ground again: they have measured the accuracy of silicon two-qubit operations for the first time – and their results confirm the promise of silicon for quantum computing.

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