With its ability to enhance predictive accuracy, quantum computing may significantly lower R&D costs in pharmaceuticals by reducing candidate failures.

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 ...

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered considerable interest among researchers. The debate around the use of machine ...

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 ...

Quantum computers, which process information leveraging quantum mechanical effects, have the potential to outperform classical computers in some optimization and computational tasks. In addition, they ...

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 ...