Science

Researchers are exploring noise-enhanced convolutional codes to build more robust cryptographic systems capable of withstanding attacks from future quantum computers.

Researchers have shown that fault-tolerant quantum computation can be achieved with a fixed qubit overhead, even in the presence of realistic noise.

Researchers are exploring the use of the notoriously difficult SAT problem to build cryptographic systems resilient to attacks from future quantum computers.

A new architecture balances the critical needs of privacy and performance in quantum machine learning.

Researchers have designed novel reversible BCD adder circuits that significantly reduce quantum cost and improve speed for next-generation computing applications.

A new optimization framework tackles the challenges of scaling quantum computation across multiple nodes by intelligently managing resources and minimizing communication overhead.

A new analysis reveals how the spectral properties of noise-canceling operators connect to the fundamental nature of quantum errors.

Researchers have developed a novel error correction scheme leveraging concatenated codes and Gaussian states to protect fragile quantum information from noise.

New research identifies an optimized hypercube code demonstrating significantly improved error rates and reduced qubit overhead, paving the way for more practical quantum computation.

This review explores the principles and practicalities of continuous-variable quantum key distribution, a powerful alternative to traditional discrete-variable approaches for secure communication.