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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