{"id":592062,"date":"2026-04-18T16:35:15","date_gmt":"2026-04-18T16:35:15","guid":{"rendered":"https:\/\/www.newsbeep.com\/us\/592062\/"},"modified":"2026-04-18T16:35:15","modified_gmt":"2026-04-18T16:35:15","slug":"qclairvoyance-quantum-labs-achieves-chemically-accurate-molecular-simulations-on-iqm-quantum-hardware","status":"publish","type":"post","link":"https:\/\/www.newsbeep.com\/us\/592062\/","title":{"rendered":"Qclairvoyance Quantum Labs Achieves Chemically Accurate Molecular Simulations on IQM Quantum Hardware"},"content":{"rendered":"

Insider Brief<\/p>\n

An international team led by Qclairvoyance Quantum Labs demonstrated chemically accurate quantum simulations of molecular systems on superconducting hardware using a hybrid quantum\u2013classical workflow.<\/p>\n

Using IQM\u2019s 24-qubit Sirius processor, the researchers generated a full 2D potential energy surface for water and simulated the drug Amantadine, extending quantum simulations beyond small benchmark molecules. <\/p>\n

The study employs techniques such as Sample-based Quantum Diagonalization and Density Matrix Embedding Theory to enable scalable, near-term applications in drug discovery and materials science.<\/p>\n

PRESS RELEASE \u2014 An international research team led by Qclairvoyance Quantum Labs has demonstrated chemically accurate quantum simulations of complex molecular systems using superconducting quantum hardware, marking a significant step forward for practical quantum chemistry.<\/p>\n

Working on IQM\u2019s 24-qubit Sirius processor, the team successfully simulated molecular systems using up to 16 qubits and introduced a hybrid quantum\u2013high performance computing (HPC) workflow that enables scalable and accurate results on near-term quantum devices.<\/p>\n

Among the key achievements, the researchers experimentally generated a full two-dimensional potential energy surface (2D-PES) for a water molecule directly on quantum hardware\u2014one of the first demonstrations of its kind. The team also simulated the FDA-approved drug Amantadine, showcasing the ability to handle pharmacologically relevant molecules beyond small benchmark systems.<\/p>\n

\"Responsive<\/a><\/p>\n

\u201cThis work demonstrates that hybrid quantum-classical approaches can deliver chemically accurate results on today\u2019s quantum hardware,\u201d said Sai Shankar P, CEO at Qclairvoyance Quantum Labs. \u201cIt provides a clear roadmap for scaling quantum simulations toward real-world applications in drug discovery and materials science.\u201d<\/p>\n

To overcome the limitations of current quantum processors, the team used a hybrid approach known as Sample-based Quantum Diagonalization (SQD). In this method, the quantum processor is used for sampling key electronic configurations, while computationally intensive calculations are offloaded to classical supercomputers.<\/p>\n

For larger molecules like Amantadine, the researchers combined SQD with Density Matrix Embedding Theory (DMET), enabling them to break down complex systems into smaller, quantum-computable fragments while preserving chemical accuracy.<\/p>\n

The study also explores different quantum circuit strategies, providing insights into balancing computational cost and accuracy\u2014an important consideration for near-term quantum applications.<\/p>\n

The research was conducted in collaboration with scientists from the National University of Singapore, Ahmedabad University, the University of Arizona, and BITS Pilani, and is detailed in a recent arXiv preprint. The full research findings are available in the arXiv preprint: arXiv:2604.01983.<\/p>\n

The results highlight the growing potential of hybrid quantum-classical workflows as a practical pathway toward solving classically intractable problems in chemistry, with future applications ranging from catalyst design to pharmaceutical development.<\/p>\n","protected":false},"excerpt":{"rendered":"Insider Brief An international team led by Qclairvoyance Quantum Labs demonstrated chemically accurate quantum simulations of molecular systems…\n","protected":false},"author":2,"featured_media":592063,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[49],"tags":[2344,258412,258413,199,258414,258415,79],"class_list":["post-592062","post","type-post","status-publish","format-standard","has-post-thumbnail","category-physics","tag-india","tag-iqm","tag-molecular-simulations","tag-physics","tag-qclairvoyance","tag-qclairvoyance-quantum-labs","tag-science"],"_links":{"self":[{"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/posts\/592062","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/comments?post=592062"}],"version-history":[{"count":0,"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/posts\/592062\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/media\/592063"}],"wp:attachment":[{"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/media?parent=592062"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/categories?post=592062"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/tags?post=592062"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}