Quantum Circuits That Learn and Protect

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

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.

New circuit-level countermeasures and proactive detection techniques bolster cryptographic systems against power and electromagnetic side-channel attacks, with a silicon-verified implementation of the Saber algorithm demonstrating significant energy gains.

New research reveals a surprising connection between the seemingly disparate fields of quantum scrambling and quantum secret sharing, opening doors for novel cryptographic protocols.

A new analysis details how optimized multiqubit Rydberg gates can bolster the performance of quantum error correction schemes, paving the way for more robust quantum computers.