Reducing quantum resources for observable estimation with window-assisted coherent QPE

Our latest research tackles one of quantum computing’s biggest challenges: making high-precision molecular simulations of observable estimation practical for future hardware. We were able to:​

- Improve the accuracy of QPE-based-reflections using windowing techniques from classical signal processing​

- Cut computational costs by up to 100x for complex systems like heme P450​

- Compress Hamiltonians & observables with BLISS-THC for more compact representations.​

These advances bring chemistry, materials science, and drug discovery closer to practical fault-tolerant quantum hardware.