On the quantum separability of qubit registers
Szymon Łukaszyk
TL;DR
The paper addresses how to determine bipartite separability of pure $n$-qubit registers by analyzing the computational-basis support. It introduces a Boolean-cube geometry framework with concepts such as common-bit supports (CMB$_c$), APS, PDS$_c$, and ADS to classify states by support structure, not amplitudes, and derives closed-form counts and feasibility conditions (e.g., $| ext{CMB}_c|(n,k)$ and $k = k_B k_C \le 2^{\lceil \log_2(k_B)\rceil + \lceil \log_2(k_C)\rceil}$) for separability across bipartitions. The work shows that the distribution of support-based state types can be computed exactly for small $n$ and that some ADS sizes are forbidden, implying unconditional entanglement, while APS and PDS$_c$ permit fast, amplitude-independent separability checks ($O(nk)$) and enable a fast pre-filter for simulations. Practically, the framework provides fast entanglement diagnostics, demonstrates tracking of entanglement spreading in circuits (e.g., GHZ state preparation), and enables substantial classical speedups for simulating localized-entanglement states, with broad implications for circuit design and quantum error-correcting code analysis.
Abstract
We show that the bipartite separability of a pure qubit state hinges critically on the combinatorial structure of its computational-basis support. Using Boolean cube geometry, we introduce a taxonomy that distinguishes support-guaranteed separability from cases in which entanglement depends on probability amplitudes. We provide closed-form support counts, identify forbidden configurations that enforce multipartite entanglement, and show how these results can enable fast entanglement diagnostics in quantum circuits. The framework offers immediate utility in classical simulation, entanglement-aware circuit design, and quantum error-correcting code analysis. This establishes support geometry as a practical and scalable tool for understanding entanglement in quantum information processing.
