Insider Brief
- Phasecraft and NVIDIA are combining hardware-adaptive quantum algorithms with NVIDIA accelerated computing to develop applications for fault-tolerant quantum computing.
- Under the Wellcome Leap Q4Bio program, the companies generated more than 3,000 VQE molecular emulations across 13 molecular systems and achieved a reported 15x simulation speedup over prior results.
- The work used NVIDIA Hopper hardware and cuQuantum to run VQE simulations across 4-to-32 qubit systems, producing data intended to support quantum-enhanced molecular modeling and drug discovery research.
PRESS RELEASE — Phasecraft, the world’s leading quantum algorithms company, today announced that the company is bringing together Phasecraft‘s hardware-adaptive ultra-efficient quantum algorithms with NVIDIA AI infrastructure to accelerate the path to fault-tolerant quantum computing.
In promising results from an initial collaboration under the Wellcome Leap Q4Bio programme, the companies generated the largest-known Variational Quantum Eigensolver (VQE) emulated molecular database, consisting of over 3,000 unique emulations across 13 molecular systems. This data-set provides a training foundation for quantum-enhanced molecular modeling, which could accelerate drug discovery at a scale previously out of reach, as quantum hardware develops. Simultaneously, a 15x simulation speedup was achieved over prior results when modeling physical, many-body systems integral to biology and health applications.
“To make good on the promise of quantum computing, we need to push the limits of today’s most capable hardware, both conventional and quantum,” said Ashley Montanaro, Co-Founder and CEO of Phasecraft. “We’re thrilled to work with NVIDIA and excited by the impressive hybrid computing results produced to date. As quantum computing hardware continues to improve, these kinds of partnerships enable the industry to drive towards quantum applications in health and life sciences and beyond that will meaningfully improve people’s lives.”
“Developing new and more efficient applications is one of the most effective ways to shorten the timeline and expand the possibilities for useful quantum computing,” said Sam Stanwyck, Director of quantum product at NVIDIA. “This work with Phasecraft shows the huge advances that can be made when the world’s leading researchers have access to state-of-the-art accelerated computing.”
Wellcome Leap Q4Bio Programme
The companies collaborated as part of the Wellcome Leap Quantum for Bio (Q4Bio) Programme, which sought to answer the question, “What if we could develop new algorithms that deliver quantum advantage for health?”
As part of the project, NVIDIA Hopper Architecture was hosted at the University of Nottingham, on which Phasecraft ran large-scale VQE emulations—a hybrid classical-quantum algorithm used to find the ground state of a physical system or molecule.
Phasecraft utilized the NVIDIA cuQuantum software developer kit to pair these VQE emulations with training from Phasecraft’s proprietary quantum-enhanced Density Functional Theory (DFT) functionals, the computational modeling method used to calculate the electronic structure of many-body systems like molecules, atoms, and condensed matter.
By deploying cuQuantum to scale the simulations across the 4-to-32 qubit range, with the vast majority in the 24–28 qubit regime the combined framework achieved a landmark 15x performance leap over prior results when modeling physical, many-body systems. The resulting dataset directly enables more accurate DFT functional training, significantly improving the precision of molecular simulations and providing a scalable path to real-world impact in drug design.
