Quantum Transduction Using Optoelectromechanical Systems

Konrad W. Lehnert

Mrittunjoy Guha Majumdar, C. M. Chandrashekar

Pengcheng Liao, Haowei Shi, Quntao Zhuang

Quantum transducers are critical for quantum interconnect, enabling coherent signal transfer across disparate frequency domains. Beyond material and device advances, protocol design has become a powerful means to improve transduction. We introduce a variational quantum transduction (VQT) framework that employs variational tools from near-term quantum computing to systematically optimize protocol performance. As a variational quantum circuit framework, VQT is not plagued by known training issues such as barren plateau, because a small-scale problem is sufficient for substantial advantage and training only needs to be done once to configure a VQT system. Maximizing the quantum information rate within this framework yields protocols that surpass all known schemes in their respective classes. For non-adaptive protocols, VQT exceeds the performance envelopes of Gottesman-Kitaev-Preskill (GKP)-based and entanglement-assisted approaches. In the adaptive setting, VQT provides only a marginal improvement over Gaussian feedforward strategies, indicating that Gaussian adaptive transduction is already close to optimal. With increasingly universal quantum control, VQT provides a systematic path toward optimal quantum transduction.

S. Höfer, Klemens Hammerer

David A. B. Miller

Isla-Rae, Torni

Introduces QTECS as a quantum-scale implementation of ABØD resonance. Describes energy transduction via phase-locked transitions between quantized states, establishing a bridge between classical coherence and quantum information systems. Outlines experimental pathways in plasma and superconducting lattices.