Quantum Computing Acceleration of AI in Pharma on the Rise – RTInsights

More than four out of five (82 percent) surveyed pharma companies believe quantum computing will impact the industry within the next decade.

Quantum computing is being eyed to accelerate computations in a variety of applications. While many routine computational workloads are well-served by traditional high-performance computing (HPC) systems, quantum computing offers advantages for certain classes of applications. One category that it appears can greatly benefit is pharmaceutical research. Specifically, leading organizations in the field hope to use the technology to accelerate drug discovery and the development of new therapies.

One sign of the growing adoption in the life sciences was anannouncement last week of a collaborative agreement between BoehringerIngelheim and Google Quantum AI (Google). The two will focus on researching andimplementing cutting-edge use cases for quantum computing in pharmaceuticalresearch and development (R&D), specifically molecular dynamicssimulations.

See also: Quantum Computing: Coming to a Platform Near You

The new partnership combines Boehringer Ingelheimsexpertise in the field of computer-aided drug design and in silico modelingwith Googles efforts in quantum computers and algorithms. Boehringer Ingelheimis the first pharmaceutical company worldwide to join forces with Google inquantum computing. The partnership is designed for three years and is co-led bythe newly established Quantum Lab of Boehringer Ingelheim.

In making the announcement, the teams noted that while thetechnology is still new, there are opportunities to make significant advances.Quantum computing is still very much an emerging technology, saidMichaelSchmelmer, Member of the Board of Managing Directors of Boehringer Ingelheimwith responsibility for Finance and Group Functions. However, we are convincedthat this technology could help us to provide even more humans and animals withinnovative and groundbreaking medicines in the future.

The work here is yet another part of wide-ranging Boehringer Ingelheim technology investments in a broad range of digital technologies. Those investments encompass key areas such as Artificial Intelligence (AI), machine learning, and data science to better understand diseases, their drivers and biomarkers, and digital therapeutics.

With respect to potential advances using quantum computing,the technology has the potential to accurately simulate and compare much largermolecules than currently possible with traditional (HPC) systems. Extremelyaccurate modeling of molecular systems is widely anticipated as among the mostnatural and potentially transformative applications of quantum computing, saidRyan Babbush, Head of Quantum Algorithms at Google, when the news was announced.

Using the technology in pharmaceutical research will require new compute systems, software, and expertise. As such, adoption is still in its early stages. A survey conducted last year by the Pistoia Alliance, theQuantum Economic Development Consortium(QED-C), andQuPharm found almost one third (31 percent) of life science organizations were set to begin quantum computing evaluation in 2020. A further 39 percent are planning to evaluate this year or have the technology on their radar, while 30 percent have no current plans to evaluate.

The three organizations have established a cross-industry Community of Interest (CoI). The aim is to explore opportunities for the technology to enhance the efficiency and effectiveness of biopharma R&D. The CoI aims to support companies that need help navigating the pathway to quantum computing.

While we are still in the early stages of this newtechnology becoming available, there are great expectations of its importance.That same survey found that more than four out of five respondents (82 percent)believe quantum computing will impact the industry within the next decade.

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Quantum Computing Acceleration of AI in Pharma on the Rise - RTInsights