Quantum-Classical Hybrid Information Processing via a Single Quantum System

• URL: http://arxiv.org/abs/2209.00497v1
• Date: Thu, 1 Sep 2022 14:33:40 GMT
• Title: Quantum-Classical Hybrid Information Processing via a Single Quantum System
• Authors: Quoc Hoan Tran, Sanjib Ghosh and Kohei Nakajima
• Abstract summary: Current technologies in quantum-based communications bring a new integration of quantum data with classical data for hybrid processing. We propose a quantum reservoir processor to harness quantum dynamics in computational tasks requiring both classical and quantum inputs.
• Score: 1.1602089225841632
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Current technologies in quantum-based communications bring a new integration of quantum data with classical data for hybrid processing. However, the frameworks of these technologies are restricted to a single classical or quantum task, which limits their flexibility in near-term applications. We propose a quantum reservoir processor to harness quantum dynamics in computational tasks requiring both classical and quantum inputs. This analog processor comprises a network of quantum dots in which quantum data is incident to the network and classical data is encoded via a coherent field exciting the network. We perform a multitasking application of quantum tomography and nonlinear equalization of classical channels. Interestingly, the tomography can be performed in a closed-loop manner via the feedback control of classical data. Therefore, if the classical input comes from a dynamical system, embedding this system in a closed loop enables hybrid processing even if access to the external classical input is interrupted. Finally, we demonstrate preparing quantum depolarizing channels as a novel quantum machine learning technique for quantum data processing.

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