Pith. sign in

REVIEW 1 cited by

High Fidelity 12-Mode Quantum Photonic Processor Operating at InGaAs Quantum Dot Wavelength

Not yet reviewed by Pith; the record is open.

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 2204.05768 v1 pith:YBXGRVPI submitted 2022-04-12 quant-ph physics.optics

classification quant-phphysics.optics
keywords quantumphotonicprocessorswavelengthlightmodeprocessorband
verification ladder T0 review T1 audit T2 compute T3 formal
0 comments
read the original abstract

Reconfigurable quantum photonic processors are an essential technology for photonic quantum computing. Although most large-scale reconfigurable quantum photonic processors were demonstrated at the telecommunications C band around 1550 nm, high-performance single photon light sources utilizing quantum dots that are well-suited for photonic quantum computing operate at a variety of wavelengths. Thus, a demand exists for the compatibility of quantum photonic processors with a larger wavelength range. Silicon nitride (SiN) has a high confinement and wide transparency window, enabling compact, low-loss quantum photonic processors at wavelengths outside the C band. Here, we report a SiN universal 12-mode quantum photonic processor with optimal operation at a wavelength of 940 nm, which is compatible with InGaAs quantum dot light sources that emit light in the 900 nm to 970 nm wavelength range. The processor can implement arbitrary unitary transformations on its 12 input modes with a fidelity of 98.6 %, with a mean optical loss of 3.4 dB/mode.

Discussion (0). Continue with ORCID to comment.

Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Photonic processor benchmarking for variational quantum process tomography

    quant-ph 2025-07 conditional novelty 5.0 of 10

    In a benchmark of variational quantum process tomography on 2-qubit unitaries, a classical one-hot optical processor and a quantum photonic processor both outperformed superconducting processors, reaching process fide...

Pith tools