2025-07-24 –, Main Room 6
Gabs.jl is a numerical package for simulating a large class of quantum continuous variables known as Gaussian quantum information. Gaussian processes are efficient to simulate on a classical computer, thus serving as a practical tool for developing applications in quantum teleportation, quantum networking, and quantum computation.
Simulating large-scale quantum systems requires extensive computational resources. However, there exist important classes of quantum states and operations that exhibit low computational complexity. In particular, quantum harmonic oscillators in the phase space representation can be efficiently characterized by low-order statistical moments, provided their characteristic function is Gaussian. This collection of processes, known as Gaussian quantum information, do not yield quantum advantage, yet are fundamental building blocks for designing quantum hardware and protocols.
This talk explores Gabs.jl, a library for general tooling with Gaussian quantum information. We present features including symbolic representations, translations to the state-vector formalism, symplectic analysis methods, and high-performance simulations of large bosonic circuits.
Incoming physics PhD student @ NYU.