Generation of Frequency-Bin-Encoded Dual-Rail Cluster States via Time-Frequency Multiplexing of Microwave Photonic Qubits

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Authors: Zhiling Wang, Takeaki Miyamura, Yoshiki Sunada, K. Sunada, Jesper Ilves, Kohei Matsuura, Yasunobu Nakamura
Cited by: 1
References: 67

Abstract

Cluster states are a class of multiqubit entangled states with broad applications such as quantum metrology and one-way quantum computing. Here, we present a protocol to generate frequency-bin-encoded dual-rail cluster states using a superconducting circuit consisting of a fixed-frequency transmon qubit, a resonator, and a Purcell filter. We implement time-frequency multiplexing by sequentially emitting copropagating microwave photons, where each time bin contains a dual-rail qubit encoded in two distinct frequency modes, and adjacent time bins are entangled to form the cluster state. The frequency-bin dual-rail encoding enables erasure detection based on photon occupancy. We characterize the state fidelity using quantum tomography and quantify the multipartite entanglement using localizable entanglement. Our implementation achieves a state fidelity exceeding 50 % for a cluster state consisting of up to four logical qubits. The localizable entanglement remains across chains of up to seven logical qubits. After discarding the erasure errors, the fidelity exceeds 50 % for states with up to eight logical qubits, and the entanglement persists across chains of up to 11 qubits. These results highlight the improved robustness of frequency-bin dual-rail encoding against photon loss compared to conventional single-rail schemes. This work provides a scalable pathway toward high-dimensional entangled state generation and photonic quantum information processing in the microwave domain.

Fields of Study & Subjects

Quantum Information and Cryptography Mechanical and Optical Resonators Quantum Computing Algorithms and Architecture

Publication details

Journal / source
PRX Quantum
Publisher
American Physical Society (APS)
Volume
7
Issue
1
Publication date
6 January 2026
Language
EN