From Bell Products to GHZ: Quantum Memories via Emergent Hamiltonians
Anubhab Sur, Qiujiang Guo, Rubem Mondaini
TL;DR
The paper introduces the Emergent Hamiltonian framework to freeze unitary quantum dynamics and store time-evolved states by quenching from an entangling Hamiltonian $\hat{H}_f$ to $\hat{\mathcal{M}}(t)$. In 1D, an exact, local Emergent Hamiltonian is derived, enabling efficient storage of highly entangled states; in 2D, exact compact forms exist only for single-particle dynamics, with accurate approximations for many-body systems. The authors demonstrate applications to storing tensor products of Bell states and GHZ states, provide spectral analyses showing regular but dense operator structure, and illustrate a GHZ-state preparation and indefinite freezing via the Emergent Hamiltonian. The framework offers a flexible design tool for quantum memories, with practical considerations on decoherence and potential connections to ETH and ergodicity in emergent Hamiltonians.
Abstract
With the advent of exquisite quantum emulators, storing highly entangled many-body states becomes essential. While entanglement typically builds over time when evolving a quantum system initialized in a product state, freezing that information at any given instant requires quenching to a Hamiltonian with the time-evolved state as an eigenstate, a concept we realize via an Emergent Hamiltonian framework. While the Emergent Hamiltonian is generically non-local and may lack a closed form, we show examples where it is exact and local, thereby enabling, in principle, indefinite state storage limited only by experimental imperfections. Unlike other phenomena, such as many-body localization, our method preserves both local and global properties of the quantum state. In some of our examples, we demonstrate that this protocol can be used to store maximally entangled multi-qubit states, such as tensor products of Bell states, or fragile, globally distributed entangled states, in the form of GHZ states, which are often challenging to initialize in actual devices.
