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Thermal detection of single photons using Dirac fermions

Bevin Huang et al · Nature Portfolio · 2026

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Abstract Detecting single photons is a crucial process in quantum science, quantum networking, biology, and advanced imaging. To detect the small quantum of energy carried in a photon, conventional mechanisms rely on energy excitation across either a semiconductor bandgap or superconducting gap that hinders their applications to low-energy photons. Here, we detect single near-infrared photons using the thermal properties of Dirac fermions in graphene. By exploiting the extremely low heat capacity of Dirac electrons near its charge neutrality point, we observe a temperature rise up to ~ 2 K using a hybrid Josephson junction. In this proof-of-principle experiment, we achieve an intrinsic quantum efficiency of 87% (75%) with dark count < 1 per second (per week), reaching an effective noise equivalent power of 2 × 10−22 W/ $$\sqrt{{{{\rm{Hz}}}}}$$ Hz . The highest operation temperature is 1.2 K. Our results highlight the potential of graphene bolometers for detecting lower-energy photons from the mid-IR to microwave regimes, opening pathways to study space science in far-infrared regime, to potential applications in dark matter searches, and to advance quantum technologies across a broader electromagnetic spectrum.

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APA 7

al, B. H. E. (2026). Thermal detection of single photons using Dirac fermions. https://doi.org/10.1038/s41467-026-70648-0

MLA

al, Bevin Huang et. "Thermal detection of single photons using Dirac fermions." 2026. https://doi.org/10.1038/s41467-026-70648-0.

Chicago

al, Bevin Huang et. 2026. "Thermal detection of single photons using Dirac fermions.". https://doi.org/10.1038/s41467-026-70648-0.

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al, B. H. E. 2026, Thermal detection of single photons using Dirac fermions, Nature Portfolio, available at: https://doi.org/10.1038/s41467-026-70648-0 [Accessed 8 Aug. 2026].

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Title
Thermal detection of single photons using Dirac fermions
Author / contributors
Bevin Huang et al
Publisher
Nature Portfolio
Publication year
2026
ISSN
2041-1723
ISSN
2041-1723
Language
English
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