2026/02/28 by Apurav Tehri, Jaskaran Singh
Computer Science · Engineering · Physics and Astronomy · #Optical Network Technologies #Quantum Computing Algorithms and Architecture #Quantum Information and Cryptography #quant-ph
paper · pdf · doi:10.1103/cx92-c6cm
published as Phys. Rev. A 113, 062622 (2026) · 7+7 pages, 6 figures. Comments are welcome!
openalex publication_date 2026/06/11 · openalex created_date 2026/06/12 · openalex updated_date 2026/07/28 · arxiv created 2026/07/30 · arxiv updated 2026/07/31
Linear optical quantum computation (LOQC) offers a promising platform for scalable quantum information processing, but its scalability is fundamentally constrained by the probabilistic nature of non-local entangling gates. Qudit circuit compression schemes mitigate this issue by encoding multiple qubits onto qudits. However, these schemes become inefficient when only a subset of the encoded qubits is required to participate in the non-local entangling gate, leading to an exponential increase in the number of non-local gates. In this Letter, we address this bottleneck by demonstrating the existence of multi-level control-Z (CZ) gates for qudits encoded in multiple spatial modes in LOQC. Unlike conventional two-level CZ gates, which act only on a single pair of modes, multi-level CZ gates impart a conditional phase shift for an arbitrarily chosen subset of the spatial modes. We present two explicit linear optical schemes that realize such operations, illustrating a fundamental trade-off between prior information about the input quantum state and the physical resources required. The first scheme is realized with a constant success probability of 1/8 independent of the qudit dimension using a single non-local entangling gate, at the cost of state dependence, which is significantly better than the current success probability of 1/9. Our second scheme provides a fully state independent realization reducing the number of non-local gates to O(2r1+2r2) as compared to the existing bound of O(2r1+r2) where r1 and r2 are the number of qubits to be removed as control in the qudits. The success probability of the realization is (1)/(2) ((1)/(8))^2r1+2r2. When combined with qudit circuit compression schemes, our results improve upon a key scalability limitation and significantly improve the efficiency of LOQC architectures.