Quantum computing is poised to become the next technological breakthrough after AI, although it’s widespread adoption and practical applications remain uncertain. Just like AI, quantum computing has been hyped for years, but researchers believe it can significantly advance machine learning. Partnerships between companies like Moderna and IBM are already utilizing quantum computers and generative AI technologies to enhance the development of mRNA vaccines. While quantum computers are not expected to replace traditional supercomputers, they are likely to coexist and assist in solving complex problems such as climate change modeling. However, it is important to note that quantum computers have yet to outperform classical computers in real-world scenarios, and the commercial advantages of quantum computing are still to be fully realized.
Quantum computing is anticipated to play a vital role in the future of artificial intelligence. Industries such as pharmaceuticals, energy, and finance are actively exploring potential applications, such as simulating chemistry, optimizing AI and machine learning processes, and designing better materials. Although the first “killer app” for quantum computers remains unclear, there is ongoing research to determine their most effective use cases. Additionally, quantum computing has a potential dark side as it could threaten cybersecurity by breaking widely used encryption methods like RSA. To address this concern, the U.S. government, along with companies like Google and Cloudflare, is investing in developing post-quantum cryptography (PQC) standards to protect sensitive information. Quantum computing’s ability to perform complex calculations exponentially faster than traditional computers holds immense promise, but challenges in scalability and stability still need to be overcome before their full potential can be realized.
More specifically, I would like to highlight a few of the ongoing research efforts and partnerships in the field of quantum computing. These examples illustrate the diverse and dynamic research efforts and collaborations currently taking place:
· Moderna and IBM Partnership: Moderna, a biotechnology company, has teamed up with IBM to utilize quantum computing and generative AI technologies in advancing the development of mRNA vaccines and therapies.
· Quantum Computing Initiatives by Amazon Web Services (AWS): AWS provides researchers with access to quantum machines from various companies, including IonQ, Oxford Quantum Circuits, QuEra, Rigetti Computing, and Xanadu Quantum Technologies. Additionally, Amazon is actively involved in building prototypes of quantum computers in collaboration with the California Institute of Technology.
· Development of Quantum Computing Software: Nvidia, a leading technology company, is working in collaboration with researchers to develop programming software specifically tailored for quantum computing simulations. The focus is on areas such as chemistry and biology simulation, drug design, energy, material simulation, AI optimization, and quantitative finance.
· Post-Quantum Cryptography (PQC) Standards: The National Institute of Standards and Technology (NIST) is spearheading efforts to develop new algorithms resistant to quantum computer attacks. Several prominent companies, including IBM, Amazon Web Services, Microsoft, Cisco Systems, Dell, and VMware, actively participate in the project. The aim is to establish cybersecurity measures that can withstand future threats from quantum computers.
· Cloudflare’s PQC Services: in partnership with Google, Cloudflare has been conducting extensive testing of post-quantum cryptography (PQC) technology since 2019. They offer customers PQC-type services free of charge, enhancing cybersecurity for their websites. This proactive approach aims to protect sensitive data stored now, which may be vulnerable to decryption by future quantum computers.
Hamed is an innovative and results-driven Chief Scientist with expertise in Quantum Science, Engineering, and AI. He has worked for leading tech companies in Silicon Valley and served as an Adjunct Professor at UC Berkeley and UCLA.