Suppressing Amplitude Damping in Trapped Ions: Discrete Weak Measurements for a Non-unitary Probabilistic Noise Filter
Andrea Rodriguez-Blanco, K. Birgitta Whaley, and Alejandro Bermudez

TL;DR
This paper introduces a low-overhead, probabilistic filtering protocol using weak measurements to protect maximally-entangled states in trapped ions from amplitude damping noise, enhancing quantum information processing robustness.
Contribution
It presents two trapped-ion schemes for implementing a non-unitary probabilistic filter that reverses amplitude damping noise using local weak measurements.
Findings
Successfully protects entangled states from photon scattering
Demonstrates feasibility of noise reversal with low overhead
Enhances entanglement preservation in quantum systems
Abstract
The idea of exploiting maximally-entangled states as a resource lies at the core of several modalities of quantum information processing, including secure quantum communication, quantum computation, and quantum sensing. However, due to imperfections during or after the entangling gates used to prepare such states, the amount of entanglement decreases and their quality as a resource gets degraded. We introduce a low-overhead protocol to reverse this degradation by partially filtering out a specific type of noise relevant to many quantum technologies. We present two trapped-ion schemes for the implementation of a non-unitary probabilistic filter against amplitude damping noise, which can protect any maximally-entangled pair from spontaneous photon scattering during or after the two-qubit trapped-ion entangling gates. This filter can be understood as a protocol for single-copy…
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 · Quantum Computing Algorithms and Architecture · Quantum Mechanics and Applications
