- Open Access
Enhancing Optical Imaging via Quantum Computation
PRX Quantum 7, 010318 – Published 27 January, 2026
DOI: https://doi.org/10.1103/s94k-929p
Abstract
Extracting information from weak optical signals is a critical challenge across a broad range of technologies. Conventional imaging techniques, constrained to integrating over detected signals and classical postprocessing, are limited in signal-to-noise ratio from shot noise accumulation in the postprocessing algorithms. We show that these limitations can be circumvented by coherently encoding photonic amplitude information into qubit registers and applying quantum algorithms to process the stored information from asynchronously arriving optical signals. As a specific example, we develop a quantum algorithm for imaging unresolved point sources and apply it to exoplanet detection. We demonstrate that orders-of-magnitude improvements in performance can be achieved under realistic imaging conditions using relatively small-scale quantum processors.
Physics Subject Headings (PhySH)
Popular Summary
High-resolution optical imaging is central to observing distant planets, monitoring objects in orbit, and detecting faint signals in biology. When the light source is very weak and embedded in a noisy background, classical methods must often resort to reconstructing the background noise in order to isolate the signal and obtain a clean image. This demands long integration times and extremely stable instruments.
This work introduces a different strategy based on quantum processing of the light before it becomes classical data. The wavefront information from arriving photons is recorded in a collection of qubits. Once the optical field is stored in this form, quantum algorithms can be used to separate a faint signal from a much brighter background without having to estimate the structure of the background.
We analyze the performance of this approach for the specific case of exoplanet detection and find that the required number of detected photons can be reduced by several orders of magnitude under realistic observing conditions. The circuits use only tens of qubits and hundreds of gates, which is within reach of near-term devices. This provides a route toward practical quantum advantage in weak-field optical imaging.
Article Text
References (60)
- Z. Liu, L. D. Lavis, and E. Betzig, Imaging live-cell dynamics and structure at the single-molecule level, Mol. Cell. 58, 644 (2015).
- H. Choi, F. Bao, and Z. Jacob, Adaptive quantum accelerated imaging for space domain awareness, New J. Phys. 26, 073050 (2024).
- B. H. Dean, D. L. Aronstein, J. S. Smith, R. Shiri, and D. S. Acton, in Space Telescopes and Instrumentation I: Optical, Infrared, and Millimeter, edited by J. C. Mather, H. A. MacEwen, and M. W. M. de Graauw (SPIE, Bellingham, Washington USA, 2006), Vol. 6265, p. 626511.
- R. Soummer, L. Pueyo, and J. Larkin, Detection and characterization of exoplanets and disks using projections on Karhunen–Loève eigenimages, Astrophys. J. Lett. 755, L28 (2012).
- A. L. Carter et al., The JWST early release science program for direct observations of exoplanetary systems I: High-contrast imaging of the exoplanet HIP 65426 b from 2 to , Astrophys. J. Lett. 951, L20 (2023).
- S. E. Mullally, J. Debes, M. Cracraft, F. Mullally, S. Poulsen, L. Albert, K. Thibault, W. T. Reach, J. J. Hermes, T. Barclay, M. Kilic, and E. V. Quintana, JWST directly images giant planet candidates around two metal-polluted white dwarf stars, Astrophys. J. Lett. 962, L32 (2024).
- E. T. Khabiboulline, J. Borregaard, K. De Greve, and M. D. Lukin, Optical interferometry with quantum networks, Phys. Rev. Lett. 123, 070504 (2019).
- H.-Y. Huang, M. Broughton, J. Cotler, S. Chen, J. Li, M. Mohseni, H. Neven, R. Babbush, R. Kueng, J. Preskill, and J. R. McClean, Quantum advantage in learning from experiments, Science 376, 1182 (2022).
- R. R. Allen, F. Machado, I. L. Chuang, H.-Y. Huang, and S. Choi, Quantum computing enhanced sensing, arXiv:2501.07625.
- K. Seetharam, D. Biswas, C. Noel, A. Risinger, D. Zhu, O. Katz, S. Chattopadhyay, M. Cetina, C. Monroe, E. Demler, and D. Sels, Digital quantum simulation of NMR experiments, Sci. Adv. 9, eadh2594 (2023).
- D. Bluvstein et al., Logical quantum processor based on reconfigurable atom arrays, Nature 626, 58 (2024).
- B. W. Reichardt et al., Logical computation demonstrated with a neutral atom quantum processor, arXiv:2411.11822.
- R. Acharya et al., Quantum error correction below the surface code threshold, Nature 638, 920 (2025).
- S. Lloyd, M. Mohseni, and P. Rebentrost, Quantum principal component analysis, Nat. Phys. 10, 631 (2014).
- G. H. Low and I. L. Chuang, Optimal Hamiltonian simulation by quantum signal processing, Phys. Rev. Lett. 118, 010501 (2017).
- D. Motlagh and N. Wiebe, Generalized quantum signal processing, PRX Quantum 5, 020368 (2024).
- G. H. Low and I. L. Chuang, Hamiltonian simulation by qubitization, Quantum 3, 163 (2019).
- J. M. Martyn, Z. M. Rossi, A. K. Tan, and I. L. Chuang, Grand unification of quantum algorithms, PRX Quantum 2, 040203 (2021).
- S. Welte, B. Hacker, S. Daiss, S. Ritter, and G. Rempe, Photon-mediated quantum gate between two neutral atoms in an optical cavity, Phys. Rev. X 8, 011018 (2018).
- M. K. Bhaskar, R. Riedinger, B. Machielse, D. S. Levonian, C. T. Nguyen, E. N. Knall, H. Park, D. Englund, M. Lončar, D. D. Sukachev, and M. D. Lukin, Experimental demonstration of memory-enhanced quantum communication, Nature 580, 60 (2020).
- C. M. Knaut, A. Suleymanzade, Y. C. Wei, D. R. Assumpcao, P. J. Stas, Y. Q. Huan, B. Machielse, E. N. Knall, M. Sutula, G. Baranes, N. Sinclair, C. De-Eknamkul, D. S. Levonian, M. K. Bhaskar, H. Park, M. Lončar, and M. D. Lukin, Entanglement of nanophotonic quantum memory nodes in a telecom network, Nature 629, 573 (2024).
- Y.-C. Wei, P.-J. Stas, A. Suleymanzade, G. Baranes, F. Machado, Y. Q. Huan, C. M. Knaut, S. W. Ding, M. Merz, E. N. Knall, U. Yazlar, M. Sirotin, I. W. Wang, B. Machielse, S. F. Yelin, J. Borregaard, H. Park, M. Lončar, and M. D. Lukin, Universal distributed blind quantum computing with solid-state qubits, Science 388, 509 (2025).
- M. Tsang, Resolving starlight: A quantum perspective, Contemp. Phys. 60, 279 (2019).
- Z. Dutton, R. Kerviche, A. Ashok, and S. Guha, Attaining the quantum limit of superresolution in imaging an object’s length via predetection spatial-mode sorting, Phys. Rev. A 99, 033847 (2019).
- J. Řehaček, Z. Hradil, B. Stoklasa, M. Paúr, J. Grover, A. Krzic, and L. L. Sánchez-Soto, Multiparameter quantum metrology of incoherent point sources: Towards realistic superresolution, Phys. Rev. A 96, 062107 (2017).
- F. Bao, H. Choi, V. Aggarwal, and Z. Jacob, Quantum-accelerated imaging of n stars, Opt. Lett. 46, 3045 (2021).
- R. Davies and M. Kasper, Adaptive optics for astronomy, Annu. Rev. Astron. Astrophys. 50, 305 (2012).
- A. Barenco, A. Berthiaume, D. Deutsch, A. Ekert, R. Jozsa, and C. Macchiavello, Stabilization of quantum computations by symmetrization, SIAM J. Comput. 26, 1541 (1997).
- H. Buhrman, R. Cleve, J. Watrous, and R. de Wolf, Quantum fingerprinting, Phys. Rev. Lett. 87, 167902 (2001).
- R. Nair and M. Tsang, Interferometric superlocalization of two incoherent optical point sources, Opt. Express 24, 3684 (2016).
- P.-J. Stas, Y. Q. Huan, B. Machielse, E. N. Knall, A. Suleymanzade, B. Pingault, M. Sutula, S. W. Ding, C. M. Knaut, D. R. Assumpcao, Y.-C. Wei, M. K. Bhaskar, R. Riedinger, D. D. Sukachev, H. Park, M. Lončar, D. S. Levonian, and M. D. Lukin, Robust multi-qubit quantum network node with integrated error detection, Science 378, 557 (2022).
- M. Reck, A. Zeilinger, H. J. Bernstein, and P. Bertani, Experimental realization of any discrete unitary operator, Phys. Rev. Lett. 73, 58 (1994).
- R. Barak and Y. Ben-Aryeh, Quantum fast Fourier transform and quantum computation by linear optics, JOSA B 24, 231 (2007).
- A. Y. Kitaev, Quantum measurements and the Abelian stabilizer problem, arXiv:quant-ph/9511026.
- S. Kimmel, C. Y.-Y. Lin, G. H. Low, M. Ozols, and T. J. Yoder, Hamiltonian simulation with optimal sample complexity, npj Quantum Inf. 3, 13 (2017).
- G. H. Low and I. L. Chuang, Hamiltonian simulation by uniform spectral amplification, arXiv:1707.05391.
- Y. Wang and Y. Luo, Resource-efficient quantum principal component analysis, Quantum Sci. Technol. 9, 035031 (2024).
- T. D. Robinson and C. T. Reinhard, Earth as an exoplanet, arXiv:1804.04138.
- N. Deshler, S. Haffert, and A. Ashok, Achieving quantum limits of exoplanet detection and localization, arXiv:2403.17988.
- J. Haah, A. W. Harrow, Z. Ji, X. Wu, and N. Yu, Sample-optimal tomography of quantum states, IEEE Trans. Inf. Theory 63, 5628 (2017).
- C. Davis and W. M. Kahan, The rotation of eigenvectors by a perturbation. III, SIAM J. Numer. Anal. 7, 1 (1970).
- Y. Yu, T. Wang, and R. J. Samworth, A useful variant of the Davis–Kahan theorem for statisticians, Biometrika 102, 315 (2015).
- P.-J. Stas, Y.-C. Wei, M. Sirotin, Y. Q. Huan, U. Yazlar, F. Abdo Arias, E. Knyazev, G. Baranes, B. Machielse, S. Grandi, D. Riedel, J. Borregaard, H. Park, M. Lončar, A. Suleymanzade, and M. D. Lukin, Entanglement assisted non-local optical interferometry in a quantum network, arXiv:2509.09464 [quant-ph].
- P. S. Rodriguez et al., Experimental demonstration of logical magic state distillation, Nature 645, 620 (2025).
- J. N. Downey, S. A. Tedder, B. E. Vyhnalek, N. C. Lantz, M. A. Marsden, W. P. Simon, T. P. Bizon, and D. J. Zeleznikar, in Free-Space Laser Communications XXXV, edited by H. Hemmati and B. S. Robinson (SPIE, Bellingham, Washington USA, 2023), Vol. 12413, p. 124130P.
- S. G. Menon, N. Glachman, M. Pompili, A. Dibos, and H. Bernien, An integrated atom array-nanophotonic chip platform with background-free imaging, Nat. Commun. 15, 6156 (2024).
- T. van Leent, M. Bock, F. Fertig, R. Garthoff, S. Eppelt, Y. Zhou, P. Malik, M. Seubert, T. Bauer, W. Rosenfeld, W. Zhang, C. Becher, and H. Weinfurter, Entangling single atoms over 33 km telecom fibre, Nature 607, 69 (2022).
- A. J. Stolk et al., Metropolitan-scale heralded entanglement of solid-state qubits, Sci. Adv. 10, eadp6442 (2024).
- J. Lee, D. W. Berry, C. Gidney, W. J. Huggins, J. R. McClean, N. Wiebe, and R. Babbush, Even more efficient quantum computations of chemistry through tensor hypercontraction, PRX Quantum 2, 030305 (2021).
- M. E. Beverland, P. Murali, M. Troyer, K. M. Svore, T. Hoefler, V. Kliuchnikov, G. H. Low, M. Soeken, A. Sundaram, and A. Vaschillo, Assessing requirements to scale to practical quantum advantage, arXiv:2211.07629.
- A. M. Dalzell, S. McArdle, M. Berta, P. Bienias, C.-F. Chen, A. Gilyén, C. T. Hann, M. J. Kastoryano, E. T. Khabiboulline, A. Kubica, G. Salton, S. Wang, and F. G. S. L. Brandão, Quantum algorithms: A survey of applications and end-to-end complexities, arXiv:2310.03011.
- D. Horsman, A. G. Fowler, S. Devitt, and R. V. Meter, Surface code quantum computing by lattice surgery, New J. Phys. 14, 123011 (2012).
- E. F. Spring, J. L. Birkby, L. Pino, R. Alonso, S. Hoyer, M. E. Young, P. R. T. Coelho, D. Nespral, and M. López-Morales, Black mirror: The impact of rotational broadening on the search for reflected light from 51 Pegasi b with high resolution spectroscopy, A and A 659, A121 (2022).
- https://github.com/sashamokeev/QSP_astro_image.
- J. W. Goodman, Introduction to Fourier Optics (Roberts and Company Publishers, Englewood, Colorado, USA, 2005).
- M. D. Perrin, R. Soummer, E. M. Elliott, M. D. Lallo, and A. Sivaramakrishnan, in Space Telescopes and Instrumentation 2012: Optical, Infrared, and Millimeter Wave, edited by M. C. Clampin, G. G. Fazio, H. A. MacEwen, and J. M. Oschmann Jr. (SPIE, Bellingham, Washington USA, 2012), Vol. 8442, p. 84423D.
- L. Piotrowski, T. Batsch, H. Czyrkowski, M. Cwiok, R. Dabrowski, G. Kasprowicz, A. Majcher, A. Majczyna, K. Malek, L. Mankiewicz et al., PSF modelling for very wide-field CCD astronomy, Astron. Astrophys. 551, A119 (2013).
- T. I. Liaudat, J.-L. Starck, and M. Kilbinger, Point spread function modelling for astronomical telescopes: A review focused on weak gravitational lensing studies, Front. Astron. Space Sci. 10, 1158213 (2023).
- D. Redding, S. Basinger, S. Bikkannavar, B. Dube, A. Kee, J. Lou, C. Nissly, C. Ohara, P. Poon, E. Sidick, J. Tesch, and M. Troy, in Space Telescopes and Instrumentation 2024: Optical, Infrared, and Millimeter Wave, edited by L. E. Coyle, S. Matsuura, and M. D. Perrin (SPIE, Bellingham, Washington USA, 2024), Vol. 13092, p. 130921P.
- X.-M. Lu, H. Krovi, R. Nair, S. Guha, and J. H. Shapiro, Quantum-optimal detection of one-versus-two incoherent optical sources with arbitrary separation, npj Quantum Inf. 4, 64 (2018).
