At Phasecraft, we dig into what's behind the real-world problems that are challenging for classical computers. Simulating systems of interacting fermions, the fundamental building blocks of our universe, is key to breakthroughs in chemistry and materials science.
Instead of waiting for perfect hardware, we’re designing algorithms that make today’s hardware work. And quantum information is fragile - understanding noise is critical.
As recently published in Quantum, our protocol FACES: Fermionic Averaged Circuit Eigenvalue Sampling, does just that:
🔹 Understanding noise: FACES utilizes the group structure of fermionic linear optics to simultaneously learn many noise parameters.
🔹 Boosting performance: By integrating the physics of the underlying system with our learning protocol, we are building more performant quantum computers.
🔹 Foundational benchmarking: As fermionic linear optics becomes universal with the addition of certain resource states, we expect the work to be foundational for broader benchmarking in the universal setting.
Find the full paper here:
