A method to determine which quantum operations can be realized with linear optics with a constructive implementation recipe
Juan Carlos Garcia-Escartin, Vicent Gimeno, Julio José Moyano-Fernández
TL;DR
The paper tackles the problem of determining which quantum operations on $n$ photons in $m$ modes can be realized with linear optics and provides a constructive recipe to obtain the corresponding interferometer. It reframes realizability as a Lie-algebraic problem using the adjoint representation of the photonic homomorphism $\varphi_{m,M}:U(m)\to U(M)$, turning the question into a linear decomposition of the desired Hamiltonian in the image subalgebra. The main contribution is a necessary-and-sufficient criterion: $U$ is optically realizable iff $\mathrm{Ad}_U|_{\mathfrak{d}}$ is an automorphism, together with an explicit procedure to recover $S$ when realizable. This framework enables exact construction of optical implementations (via beam splitters and phase shifters) for realizable operations and clarifies the role of matrix logarithms, with potential impact on linear-optics quantum computing and boson sampling.
Abstract
The evolution of quantum light through linear optical devices can be described by the scattering matrix $S$ of the system. For linear optical systems with $m$ possible modes, the evolution of $n$ input photons is given by a unitary matrix $U=\varphi_{m,M}(S)$ given by a known homomorphism, $\varphi_{m,M}$, which depends on the size of the resulting Hilbert space of the possible photon states, $M$. We present a method to decide whether a given unitary evolution $U$ for $n$ photons in $m$ modes can be achieved with linear optics or not and the inverse transformation $\varphi_{m,M}^{-1}$ when the transformation can be implemented. Together with previous results, the method can be used to find a simple optical system which implements any quantum operation within the reach of linear optics. The results come from studying the adjoint map bewtween the Lie algebras corresponding to the Lie groups of the relevant unitary matrices.
