Modeling quantum spin liquids using machine learning

The properties of a complex and exotic state of a quantum material can be predicted using a machine learning method created by a RIKEN researcher and a collaborator. This advance could aid the development of future quantum ...

Combining two approaches to advance quantum computing

Quantum computers hold the potential to out-perform all conventional computing systems. Two promising physical implementations for the storage and manipulation of quantum information are the electromagnetic modes of superconducting ...

Spinning quantum dots

The name 'quantum dots' is given to particles of semiconducting materials that are so tiny—a few nanometres in diameter—that they no longer behave quite like ordinary, macroscopic matter. Thanks to their quantum-like ...

Toward more efficient computing, with magnetic waves

MIT researchers have devised a novel circuit design that enables precise control of computing with magnetic waves—with no electricity needed. The advance takes a step toward practical magnetic-based devices, which have ...

Building single-atom qubits under a microscope

Our team at IBM Research made a breakthrough in controlling the quantum behavior of individual atoms, demonstrating a versatile new building block for quantum computation.

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