An international team of physicists has uncovered a subtle but important twist in how “memory” works in quantum systems.

Reservoir computing is a promising machine learning-based approach for the analysis of data that changes over time, such as weather patterns, recorded speech or stock market trends. Classical ...

Researchers at the University of Waterloo have produced experimental evidence that quantum-level effects can alter the ...

An international group of researchers have investigated the role of memory in quantum systems and dynamics. Their findings ...

Right now, quantum computers are small and error-prone compared to where they’ll likely be in a few years. Even within those limitations, however, there have been regular claims that the hardware can ...

Computers, the internet and digitization have been major driving forces of innovation over the last 50 years, but classical computing architecture has its limits. Quantum computing is emerging as a ...

New landmark peer-reviewed paper published in Science, “Beyond-Classical Computation in Quantum Simulation,” unequivocally validates D-Wave’s achievement of the world’s first and only demonstration of ...

Physicists at Boston University have achieved what amounts to a long-sought benchmark in quantum measurement: detecting the ...

The parity-identification problem fits naturally into this landscape. Parity is a global property, insensitive to most local details. In this respect, it resembles many other quantities studied in ...