Sometimes a visually compelling metaphor is all you need to get an otherwise complicated idea across. In the summer of 2001, a Tulane physics professor named John P.

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 ...

Recently, a joint research team developed a novel quantum-classical computing scheme for designing photochromic materials—light-sensitive compounds—providing a powerful tool to accelerate the ...

After a multi-year competition, the U.S. National Institute of Standards and Technology (NIST) selected a suite of algorithms for standardization. For key exchange, the primary choice is the ...

A new algorithm can further exploit the twin challenges of information loss and translation to mimic a quantum computer with far fewer resources than previously ...

This flowchart illustrates the hybrid quantum-classical approach used to identify the optimal diarylethene (DAE) derivatives with large absorbance wavelengths (λmax) and high oscillator strengths. The ...

Despite steady improvements in quantum computers, they're still noisy and error prone, which leads to questionable or wrong answers. Scientists predict that they won ...

Researchers recently published findings that could lay the groundwork for applying quantum computing methods to protein structure prediction. Researchers from Cleveland Clinic and IBM recently ...