Demonstration of universal time-reversal for quantum processes
Peter Schiansky, Teodor Str\"omberg, David Trillo, Valeria Saggio, Ben, Dive, Miguel Navascu\'es, Philip Walther

TL;DR
This paper demonstrates a deterministic, universal quantum time-reversal protocol for two-level systems, achieving high fidelity without prior knowledge of the process, thus advancing practical quantum rewinding techniques.
Contribution
It introduces a recursive, deterministic protocol for quantum time-reversal exploiting non-commuting operators, demonstrated experimentally with high fidelity.
Findings
Achieved over 95% average fidelity in reversing quantum polarization states.
Protocol is optimal in running time and does not require prior process knowledge.
Demonstrated practical relevance of quantum rewinding techniques.
Abstract
Although the laws of classical physics are deterministic, thermodynamics gives rise to an arrow of time through irreversible processes. In quantum mechanics the unitary nature of the time evolution makes it intrinsically reversible, however the question of how to revert an unknown time evolution nevertheless remains. Remarkably, there have been several recent demonstrations of protocols for reverting unknown unitaries in scenarios where even the interactions with the target system are unknown. The practical use of these universal rewinding protocols is limited by their probabilistic nature, raising the fundamental question of whether time-reversal could be performed deterministically. Here we show that quantum physics indeed allows for deterministic universal time-reversal by exploiting the non-commuting nature of quantum operators, and demonstrate a recursive protocol for two-level…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsQuantum Information and Cryptography · Neural Networks and Reservoir Computing · Quantum Mechanics and Applications
