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Using the ligthcone from the cosmological hydrodynamical simulationHorizon-AGN, we produced a photometric catalogue over $0<z<4$ with apparentmagnitudes in COSMOS, DES, LSST-like, and Euclid-like filters at depthscomparable to these surveys. The virtual photometry accounts for the complexstar formation history and metal enrichment of Horizon-AGN galaxies, andconsistently includes magnitude errors, dust attenuation and absorption byinter-galactic medium. The COSMOS-like photometry is fitted in the sameconfiguration as the COSMOS2015 catalogue. We then quantify random andsystematic errors of photometric redshifts, stellar masses, and star-formationrates (SFR). Photometric redshifts and redshift errors capture the samedependencies on magnitude and redshift as found in COSMOS2015, excluding theimpact of source extraction. COSMOS-like stellar masses are well recovered witha dispersion typically lower than 0.1 dex. The simple star formation historiesand metallicities of the templates induce a systematic underestimation ofstellar masses at $z<1.5$ by at most 0.12 dex. SFR estimates exhibit adust-induced bimodality combined with a larger scatter (typically between 0.2and 0.6 dex). We also use our mock catalogue to predict photometric redshiftsand stellar masses in future imaging surveys. We stress that adding Euclidnear-infrared photometry to the LSST-like baseline improves redshift accuracyespecially at the faint end and decreases the outlier fraction by a factor$\sim$2. It also considerably improves stellar masses, reducing the scatter upto a factor 3. It would therefore be mutually beneficial for LSST and Euclid towork in synergy.

Horizon-AGN virtual observatory - 1. SED-fitting performance and forecasts for future imaging surveys