Problem
Research questions and friction points this paper is trying to address.
Quantum Integrated Communication and Computing
Multiple-Access Channel
Over-the-Air Computation
Bosonic Channel
Computation-Communication Trade-off
Quantum Integrated Communication and Computing Over Multiple-Access Bosonic Channel
🤖 AI Summary
This study addresses the joint implementation of communication and analog computation over a single-mode bosonic multiple-access channel. Focusing on coherent-state signaling, it leverages quantum superposition for the first time to simultaneously perform over-the-air computation and multiuser decoding at the receiver. The authors jointly optimize transmit powers and receive coefficients to maximize computation accuracy under prescribed communication rate constraints. They propose a low-complexity alternating optimization framework: receive coefficients are updated via closed-form linear minimum mean-square error solutions, while power allocation is optimized using projected gradient methods informed by monotonicity analysis of the quantum sum-rate constraint. The proposed scheme achieves rapid convergence and significantly enhances the trade-off between computation fidelity and communication performance.
📝 Abstract
We investigate a quantum integrated communication and computation (QICC) scheme for a single-mode bosonic multiple-access channel (MAC) with coherent-state signalling. By exploiting the natural superposition property of the quantum MAC, a common receiver simultaneously performs over-the-air computation (OAC) on the analogue symbols transmitted by one set of devices and decodes multiple-access data from another. The joint design of the transmit power control and the receive coefficient leads to a non-convex optimization problem that maximizes computation accuracy under a prescribed sum-rate communication constraint. To address this challenge, we develop a low-complexity alternating-optimization framework that incorporates: (i) closed-form linear minimum-mean square error updates for the receive coefficient, (ii) monotonicity properties of the quantum sum-rate constraint, and (iii) projected-gradient refinements for the communication powers. The proposed QICC scheme achieves an effective computation-communication trade-off with fast convergence and low computational complexity.
Innovation
Methods, ideas, or system contributions that make the work stand out.
Quantum Integrated Communication and Computing
Bosonic Multiple-Access Channel
Over-the-Air Computation
Alternating Optimization
Non-convex Optimization
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