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

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.

This advancement in quantum algorithms could help accelerate some of the most computationally intensive simulations

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.

My two favorite quantum computing stocks that I think will soar during the next few years are IonQ ( IONQ 7.83%) and D-Wave Quantum ( QBTS 5.29%). Both of these companies are taking different approaches to the quantum computing realm, and both can thrive.

Researchers at the California Institute of Technology theorize that a functional quantum computer may require far fewer qubits than previously thought, making it feasible for the first quantum computer to be deployed before the end of the decade.

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.