Papers

• Towards Continuous-variable Quantum Neural Networks for Biomedical Imaging (2025)
  Daniel Alejandro Lopez et al.
  1.50
• Photodiode quantum efficiency for 2-{\mu}m light in the signal band of gravitational wave detectors (2025)
  Julian Gurs et al.
  1.50
• Quantum computing for genomics: conceptual challenges and practical perspectives (2025)
  Aurora Maurizio et al.
  1.28
• Large speed-up of quantum emitter detection via quantum interference (2025)
  Warwick P. Bowen
  1.17
• Probing arbitrary polarized photon pairs undergoing double Compton scatterings by a dedicated MC simulator validated with experimental data (2025)
  M. Bala et al.
  1.17
• Overcoming the surface paradox: Buried perovskite quantum dots in wide-bandgap perovskite thin films (2025)
  Hao Zhang et al.
  0.94
• Spatially-selective and quantum-statistics-limited light stimulus for retina biometrics and pupillometry (2019)
  A. Margaritakis et al.
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• Quantum correlations overcome the photodamage limits of light microscopy (2020)
  Catxere A. Casacio et al.
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• Quantum Medical Imaging Algorithms (2020)
  Bobak Toussi Kiani et al.
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• Detecting and tracking bacteria with quantum light (2020)
  Gaetana Spedalieri et al.
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• Photon quantum entanglement in the MeV regime and its application in PET imaging (2020)
  D.P. Watts et al.
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• NMR of ³¹P Nuclear Spin Singlet States in Organic Diphosphates (2021)
  Stephen J. DeVience et al.
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• Quantum computing teaching with CoSpaces (2022)
  Francesco Sisini et al.
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• Magnetic isotope effects: a potential testing ground for quantum biology (2023)
  Hadi Zadeh-Haghighi and Christoph Simon
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• Physiological search for quantum biological effects based on the Wigner-Yanase connection between coherence and uncertainty (2023)
  I. K. Kominis
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• Quantum annealing-based computed tomography using variational approach for a real-number image reconstruction (2023)
  Akihiro Haga
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• Quantum optimization algorithms for CT image segmentation from X-ray data (2023)
  Kyungtaek Jun
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• A Universal Method to Generate Hyperpolarisation in Beams and Samples (2023)
  R. Engels et al.
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• Can Entanglement-enhanced Quantum Kernels Improve Data Classification? (2024)
  Anand Babu et al.
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