Dr Farzam Nosrati

Entanglement distillation and algorithmic cooling via indistinguishability effects

Indistinguishability, a non-classical phenomenon associated with identical particles, plays a pivotal role in the formation of composite states of light and matter. This contributes to phenomena such as electron orbital occupation and photon bunching. Beyond these fundamental aspects, indistinguishability has emerged as a quantum resource for performing quantum information tasks, such as generating multipartite complex entangled quantum states. Also, it has been shown that particle statistics imprint and indistinguishability can be utilized in a controllable way to protect quantum correlations in a system of identical constituents. In this talk, we discuss an entanglement distillation protocol leveraging indistinguishability effects. We demonstrate the performance of our protocol by showcasing typical noisy states, such as thermal states and Werner states. This motivates us to design an indistinguishability-based algorithmic cooling process that mitigates thermal noise and cools a qubit down. Unlike earlier studies with non-identical subsystems, our mechanism is based on indistinguishable fermions which can be harnessed and exploited through both coherent and incoherent operations. We analyze our indistinguishability-based algorithmic cooling efficiency via the overall success probability and thermodynamic energetic cost. We show that our mechanism allows us to reach a very low qubit temperature (pure state) with experimentally-relevant nonzero success probabilities, starting from a relatively high qubit temperature (highly mixed state), by only consuming indistinguishability as a fuel. The proposed scheme paves the way towards quantum thermal machines made of controllable identical quantum particles that exploit indistinguishability effects as fuel to generate work.