Enterprise Quantum Software Company zapata computing has partnered with the UK’s University of Hull to leverage each other’s expertise to detect signatures of life in deep space.
The partnership will support research to repurpose Orquestra, Zapata’s quantum workflow platform, to assist in the development of highly accurate astrophysical models and applications.
“Although quantum computers are an emerging technology and may not yet outperform classical hardware, Zapata has made it possible to generate valuable insights from currently available noisy intermediate-scale quantum (NISQ) devices,” says Professor of Molecular Physics. Senior Lecturer Dr David Benoit said. and astrophysics at the University of Hull.
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Dr Benoit further added that Orchestra enables researchers to create future-proof applications that not only work with NISQ instruments today, but are also able to take advantage of more powerful ones. quantum computing tools of the future.
improve model accuracy
Sharing details about the hope the researchers plan to take advantage of Zapata’s quantum expertise, the researchers explain that they want to build on top of the work of the MIT researchers that launched in 2016. made a list More than 14,000 molecules that may indicate life in an exoplanet’s atmosphere.
University of Hull researchers now aim to create a database of detectable biological signatures of these molecules using new computational models of molecular rotation and vibration. However, little is currently known about how these molecules vibrate and rotate in response to infrared radiation generated by nearby stars.
To detect them, researchers need to build highly accurate models based on extremely precise calculations, which is known to be one of the properties of quantum computing.
“The research being conducted by Dr. Benoit and his colleagues has the potential to redefine our place in the universe, and we are delighted that the orchestra will have a supporting role,” said Christopher Savoie, CEO and co-founder of Zapata Computing.
Orchestral evaluations for the research are currently scheduled to run for eight weeks, before the team publishes an analysis of the research.
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