Now, a team of scientists led by researchers at the Pritzker School of Molecular Engineering (PME) at the University of Chicago have developed the blueprint for a quantum computer that can more efficiently correct errors. The system uses a new framework, based around quantum low-density party-check (qLDPC) codes — which can detect errors by looking at the relationship between bits — as well as a new hardware involving reconfigurable atom arrays, which allow qubits to communicate with more neighbors and therefore let the qLDPC data be encoded in fewer qubits.

The "thorium transition", which physicists have been looking for for decades, has now been excited for the first time with lasers. This paves the way for revolutionary high precision technologies, including nuclear clocks.

A CSAIL study highlights why it is so challenging to program a quantum computer to run a quantum algorithm, and offers a conceptual model for a more user-friendly quantum computer.

Researchers from the National University of Singapore (NUS) have developed a new design concept for creating next-generation carbon-based quantum materials, in the form of a tiny magnetic nanographene with a unique butterfly-shape hosting highly correlated spins. This new design has the potential to accelerate the advancement of quantum materials which are pivotal for the development of sophisticated quantum computing technologies poised to revolutionise information processing and high density storage capabilities.

Partnering with researchers from Google Quantum AI and Macquarie University in Sydney, Australia, Wiebe developed an algorithm for simulating systems of coupled masses and springs on quantum computers. The researchers then provided evidence of the new algorithm’s exponential advantage over classical algorithms.

Aalto University researchers are the first in the world to measure qubits with ultrasensitive thermal detectors—thus evading the Heisenberg uncertainty principle.

Rice University physicists have discovered a phase-changing quantum material — and a method for finding more like it — that could potentially be used to create flash like memory capable of storing quantum bits of information, or qubits, even when a quantum computer is powered down.

Quantinuum, the world’s largest integrated quantum computing company, together with Microsoft, has achieved a breakthrough in making fault tolerant quantum computing a reality, by demonstrating the most reliable logical qubits with active syndrome extraction, an achievement previously believed to be years away from realization.

A California Institute of Technology research team reports they achieved a significant milestone using optical tweezer arrays to trap over 6,100 neutral atoms.

IonQ, a leader in the quantum computing industry, today announced early results from its work with Deutsches Elektronen-Synchrotron (DESY) – a German-based research center for fundamental science – to run combinatorial optimization problems on IonQ Aria. The results demonstrate quantum computing’s potential as a more effective solution than traditional classical computing when tackling equations with multiple variables in a dense environment, such as a bustling airport.