Time-Domain Multiplexing for Resource-Efficient Heralded GKP State Preparation
Abstract
Gottesman-Kitaev-Preskill (GKP) states are key resources for fault-tolerant photonic quantum computing, but their conditional preparation via Gaussian boson sampling involves a trade-off between source count and photon-number resolution. Distributing heralding photons across more measured modes reduces the resolution required per mode, yet increases the number of simultaneously operated squeezed sources in fully squeezed spatial architectures. Here, we show that time-domain multiplexing (TDM) can reduce these physical source requirements while preserving GKP state quality. Using an end-to-end differentiable Bargmann framework, we find that TDM circuits reusing one or two squeezed sources achieve fidelities comparable to fully squeezed spatial circuits across several configurations. Selected nine-mode configurations retain fidelities above 0.95 with one photon heralded in each measured mode, mitigating detector resolution demands without a proportional increase in source count. Loss-aware reoptimization further shows that, under the investigated spatial loss models, two-mode TDM maintains fidelities near 0.80 at 1.0 dB per channel, whereas the corresponding spatial benchmarks fall below 0.60. These results demonstrate that temporal reuse provides an effective architectural route for balancing source overhead, detection demands, and state preparation performance in the presence of optical loss.
Related
- Fault-tolerant resource estimation for ground-state preparation via Lindblad simulation
- Counterdiabatic quantum optimization for efficient state preparation in the Schwinger model
- Efficient preparation of spin-squeezed states with Grover's algorithm
- Resource-efficient quantum-walker quantum random access memory
- Hardware-Efficient Ground-State Preparation using Variational Imaginary-Time Majorana Evolution
BibTeX
@misc{hu2026timedomain,
title = {{Time-Domain Multiplexing for Resource-Efficient Heralded GKP State Preparation}},
author = {Ke-Ming Hu and Jun-Jie He and Yu-Ze Zhu and Pei-Lin Du and Lin Yang and Hao Tang and Xian-Min Jin},
howpublished = {arXiv},
year = {2026},
month = oct,
doi = {10.48550/arxiv.2610.41341},
eprint = {2610.41341},
archivePrefix = {arXiv},
url = {https://arxiv.org/abs/2610.41341},
note = {CC BY 4.0},
}
RIS
TY - UNPB
TI - Time-Domain Multiplexing for Resource-Efficient Heralded GKP State Preparation
AU - Ke-Ming Hu
AU - Jun-Jie He
AU - Yu-Ze Zhu
AU - Pei-Lin Du
AU - Lin Yang
AU - Hao Tang
AU - Xian-Min Jin
PY - 2026
DA - 2026/10/30
PB - arXiv
DO - 10.48550/arxiv.2610.41341
UR - https://arxiv.org/abs/2610.41341
AB - Gottesman-Kitaev-Preskill (GKP) states are key resources for fault-tolerant photonic quantum computing, but their conditional preparation via Gaussian boson sampling involves a trade-off between source count and photon-number resolution. Distributing heralding photons across more measured modes reduces the resolution required per mode, yet increases the number of simultaneously operated squeezed sources in fully squeezed spatial architectures. Here, we show that time-domain multiplexing (TDM) can reduce these physical source requirements while preserving GKP state quality. Using an end-to-end differentiable Bargmann framework, we find that TDM circuits reusing one or two squeezed sources achieve fidelities comparable to fully squeezed spatial circuits across several configurations. Selected nine-mode configurations retain fidelities above 0.95 with one photon heralded in each measured mode, mitigating detector resolution demands without a proportional increase in source count. Loss-aware reoptimization further shows that, under the investigated spatial loss models, two-mode TDM maintains fidelities near 0.80 at 1.0 dB per channel, whereas the corresponding spatial benchmarks fall below 0.60. These results demonstrate that temporal reuse provides an effective architectural route for balancing source overhead, detection demands, and state preparation performance in the presence of optical loss.
ER -