Hartree Centre and PsiQuantum develop path to quantum-enabled material innovation

The Hartree Centre, in collaboration with PsiQuantum, has introduced an innovative  quantum computing approach for simulating Fermi-Hubbard type models and models of high-temperature superconductors. This work marks a significant step toward using quantum computers to address real-world industrial challenges.

Advancing research in quantum computing demands sophisticated software, expert knowledge, and advanced infrastructure. These requirements make partnerships essential for achieving impactful discoveries. By combining the Hartree Centre’s and PsiQuantum’s cutting-edge hardware, quantum software, and simulation capabilities, we have taken a significant step toward unlocking the potential of quantum computing for complex material innovation. Recently, the collaboration produced a paper that addresses the modelling of high-temperature superconductors and complex materials.

Why do we want high-temperature superconductors?

High-temperature superconductors, materials capable of conducting electricity without resistance at relatively higher temperatures, are vital for industries aiming to reduce energy loss and increase efficiency. However, their complexity has long challenged traditional computational models. This has slowed research and development of superconductors, but our collaboration with PsiQuantum is improving the approach to this challenge through the use of quantum computing.

Improving simulations of complex materials

The Hubbard model effectively captures key aspects of complex materials and has long been considered a candidate for modelling high-temperature superconductivity. Due to their relatively low computational overhead, quantum simulation algorithms for the Hubbard model are promising for early implementations on fault-tolerant quantum computers. This work focuses on reliably studying high-temperature superconductors on a quantum computer by simulating well-established models. Specifically, Trotter and qubitization algorithms are designed and compiled to simulate complex systems that incorporate beyond-nearest-neighbour hopping and multi-orbital interactions. The results demonstrate that these models can be simulated with fewer computational resources, enabling their study at an earlier stage of quantum computing development. Businesses could benefit from the study of high-temperature superconductors, leading to breakthroughs in energy-efficient technologies and advanced electronics.

Strategic partnerships driving innovation

This collaboration highlights the value of combining expertise in quantum computing and material science. By working together, we are paving the way for early fault-tolerant quantum computers to deliver tangible industrial benefits.

As quantum computing evolves, it has the potential to address challenges like material simulation more effectively. Those considering early adoption of the technology may benefit from preparing to leverage its advancements, which could unlock new efficiencies and foster innovation.