Entangling Quantum Memories at Channel Capacity

ORAL

Abstract

Entangling quantum memories, mediated by optical-frequency or microwave channels, at high rates and fidelities is key for linking qubits across short and long ranges. All well-known protocols encode up to one qubit per optical mode, hence entangling one pair of memory qubits per transmitted mode over the channel, with probability η, the channel's transmissivity. The rate is proportional to η ideal Bell states (ebits) per mode. The quantum capacity, C(η) = -log2(1-η) ebits per mode, which ≈ 1.44η for high loss, i.e., η << 1, thereby making these schemes near rate-optimal. However, C(η) →∞ as η →1, making the known schemes highly rate-suboptimal for shorter ranges. We propose a cavity-assisted memory-photon interface that can be used to entangle matter memories with Gottesman-Kitaev-Preskill (GKP) photonic qudits, which along with dual-homodyne entanglement swaps that retain analog information, enables entangling memories at capacity-approaching rates at low loss. We benefit from loss resilience of GKP qudits, and their ability to encode multiple qubits in one mode. Our memory-photon interface further supports the preparation of needed ancilla GKP qudits. We expect our result to spur research in low-loss high-cooperativity cavity-coupled qubits with high-efficiency optical coupling, and demonstrations of high-rate short-range quantum links.

*P.D. and S.G. acknowledge the Mega Qubit Router (MQR) project funded under federal support via a subcontract from the University of Arizona Applied Research Corporation (UA-ARC), for supporting this research. Additionally, all authors acknowledge the Engineering Research Center for Quantum Networks (CQN), awarded by the NSF and DoE under cooperative agreement number 1941583, for synergistic research support. L.J. additionally acknowledges support from the AFOSR MURI (FA9550-19-1-0399, FA9550-21-1-0209, FA9550-23-1-0338), DARPA (HR0011-24-9-0359, HR0011-24-9-0361), NSF (OMA-1936118, OMA-2137642, OSI-2326767, CCF-2312755), NTT Research, Packard Foundation (2020-71479), and the Marshall and Arlene Bennett Family Research Program.

Publication: arXiv quant-ph:2406.04272

Presenters

  • Prajit Dhara

    • University of Maryland College Park

Authors

  • Prajit Dhara

    • University of Maryland College Park
  • Liang Jiang

    • University of Chicago
  • Saikat Guha

    • University of Maryland College Park
    • University of Maryland
    • The University of Maryland
    • University of Arizona