A University of Sydney quantum physicist has developed a new approach to quantum error correction that could significantly reduce the number of physical qubits required to build large-scale, fault-tolerant quantum computers.

Scientists at California Institute of Technology and startup Oratomic have developed a method to

A method reduces the number of qubits needed for quantum computers, making practical machines possible sooner and affecting computing.

Silicon is ubiquitous in modern electronics, and now it is becoming increasingly useful in quantum computing. In particular, silicon's compatibility with existing chip technology and its long coherence times in silicon-based spin qubits make it a promising material for scalable quantum computing.

The research shows quantum computers may break bitcoin and ether wallet encryption with far fewer qubits than previously thought, accelerating the push toward post-quantum security.

Quantum computing has been touted as a revolutionary advance that uses our growing scientific understanding of the subatomic world to create a machine with powers far ...

The quantum layer will will not be exhausted by one hardware modality, one algorithmic framework or one vendor’s roadmap.