Physics

Near-optimal discrimination of displaced squeezed binary signals using displacement, inverse-squeezing, and photon-number-resolving detection

AI Insight

This study presents a near-optimal measurement strategy for discriminating between two displaced squeezed quantum states, a fundamental problem in quantum communication and sensing. The proposed protocol combines displacement operations, inverse-squeezing transformations, and photon-number-resolving detection to approach the Helstrom bound, which represents the theoretical minimum error probability in quantum state discrimination. The results demonstrate that this sequential processing approach can achieve discrimination performance significantly closer to the quantum limit than previously available practical methods.


Improved quantum state discrimination has direct implications for quantum communication systems, including quantum key distribution and coherent optical communications, where distinguishing between signal states with minimal error is critical to channel capacity and security. This work provides a practically implementable protocol that could be realized with current or near-term quantum optical technology.


Source: Near-optimal discrimination of displaced squeezed binary signals using displacement, inverse-squeezing, and photon-number-resolving detection