In recent years, quantum economics has emerged as a revolutionary discipline that applies the fundamental principles of quantum physics to offer a new perspective on the uncertainty and complexity inherent in modern economic systems. Quantum cognition plays a fundamental role in this framework, explaining how individuals process information and make decisions in contexts of ambiguity and uncertainty. Using quantum mechanisms such as the superposition of mental states, interference, and entanglement, quantum cognition models complex behavioral phenomena that are inexplicable by classical decision theory, such as the effects of presentation order and cognitive paradoxes. This article examines the intersection between quantum economics, quantum cognition, decision-making, and sustainability in financial environments through a systematic review following the PRISMA methodology and a bibliometric analysis. Recent advances in artificial intelligence and quantum computing are driving the practical application of these approaches, improving the management of uncertainty in sectors such as renewable energy and sustainable resource management. The results show that quantum economics is a promising framework for the design of policies and strategies aimed at achieving the Sustainable Development Goals (SDGs).
AertsD.GaboraL. (2005a). A theory of concepts and their combinations I: The structure of the sets of contexts and properties. Kybernetes, 34(1-2), 167–191. https://doi.org/10.1108/03684920510575799
3.
AertsD.GaboraL. (2005b). A theory of concepts and their combinations II: A Hilbert space representation. Kybernetes, 34(1-2), 192–221. https://doi.org/10.1108/03684920510575807
4.
AertsD.SozzoS. (2013). Quantum entanglement in concept combinations. International Journal of Theoretical Physics, 52(10), 3625–3637. https://doi.org/10.1007/s10773-013-1946-z
5.
AjagekarA.YouF. (2022). Quantum computing and quantum artificial intelligence for renewable and sustainable energy: A emerging prospect towards climate neutrality. Renewable and Sustainable Energy Reviews, 165, 112493. https://doi.org/10.1016/j.rser.2022.112493
6.
BechuA. M.GhoshalS.MooresA. H.NnB. (2022). Are substitutes to cd-based quantum dots in displays more sustainable, effective, and cost competitive? An alternatives assessment approach. ACS Sustainable Chemistry & Engineering, 10(7), 2294–2307. https://doi.org/10.1021/acssuschemeng.1c04909
BusemeyerJ. R.WangZ. (2015). Quantum cognition: A new theoretical approach to psychology. Trends in Cognitive Sciences, 19(6), 383–393. https://doi.org/10.1016/j.tics.2015.05.001
11.
DanashK.HarbH.SakerL.RaadA. (2025). Quantum-inspired hyperheuristic framework for solving dynamic multi-objective combinatorial problems in disaster logistics. World Electric Vehicle Journal, 16(6), 310. https://doi.org/10.3390/wevj16060310
12.
DatsyukP.DinçerH.YükselS.MikhaylovA. Y.PintérG. (2024). Comparative analysis of hydro energy determinants for European economies using golden cut-oriented quantum spherical fuzzy modelling and causality analysis. Heliyon, 10(5), Article e26506. https://doi.org/10.1016/j.heliyon.2024.e26506
13.
DehdashtiS.FellL.BruzaP. D. (2020). On the irrationality of being in two minds. Entropy, 22(2), 174. https://doi.org/10.3390/e22020174
14.
DinçerH.YükselS.HacıogluU.ErdebilliB. (2025). Multidimensional analysis of investment priorities for circular economy with quantum spherical fuzzy hybrid modeling. International Journal of Information Technology and Decision Making, 24(1), 61–87. https://doi.org/10.1142/S021962202350075X
15.
DinçerH.YükselS.PedryczW. (2025). Assessment of renewable energy alternatives for sustainable resource policies with knowledge-based expert prioritized quantum picture fuzzy rough modelling. Expert Systems With Applications, 273(1), 126826. https://doi.org/10.1016/j.eswa.2025.126826
16.
DinçerH.YükselS.PintérG.MikhaylovA. Y. (2024). Understanding the market potential of crypto mining with quantum mechanics and golden cut-based picture fuzzy rough sets. Block: Research and Applications, 5(4), 100230. https://doi.org/10.1016/j.bcra.2024.100230
17.
DuP.ZhouB.YangM. (2024). Carbon emission reduction contribution analysis of electricity enterprises in urban green development: A quantum spherical fuzzy sets-based decision framework. Technological Forecasting and Social Change, 200, 123181. https://doi.org/10.1016/j.techfore.2023.123181
18.
Ghaemi AslM.Ben JabeurS.NammouriH.Bel Hadj MiledK. (2024). Dynamic connectedness of quantum computing, artificial intelligence, and big data stocks on renewable and sustainable energy. Energy Economics, 140, 108017. https://doi.org/10.1016/j.eneco.2024.108017
19.
GunjiY. P.HarunaT. (2022). Concept formation and quantum-like probability from nonlocality in cognition. Cognitive Computation, 14(4), 1328–1349. https://doi.org/10.1007/s12559-022-09995-1
20.
HacıogluU.DinçerH.YilmazM. K.YükselS.SonkoM.DelenD. (2023). Optimizing sustainable industry investment selection: A golden cut-enhanced quantum spherical fuzzy decision-making approach. Applied Soft Computing, 148, 110853. https://doi.org/10.1016/j.asoc.2023.110853
21.
HaddawayN. R.PageM. J.PritchardC. C.McGuinnessL. A. (2022). Prisma2020: An r package and shiny app for producing prisma 2020-compliant flow diagrams, with interactivity for optimised digital transparency and open synthesis. Campbell Systematic Reviews, 18(2), Article e1230. https://doi.org/10.1002/cl2.1230
22.
HancockT. O.BroekaertJ.HessS.ChoudhuryC. F. (2020). Quantum choice models: A flexible new approach for understanding moral decision-making. Journal of Choice Modelling, 37, 100235. https://doi.org/10.1016/j.jocm.2020.100235
23.
HoltfortT.HorschA. (2023). Social science goes quantum: Explaining human decision-making, cognitive biases and Darwinian selection from a quantum perspective. Journal of Bioeconomics, 25(2), 99–116. https://doi.org/10.1007/s10818-023-09334-w
24.
HoltfortT. (2023). From point to process perspectives of life: Quantum field theory concepts and the formation and function of organisms. Journal of Experimental and Theoretical Analyses, 1(1), 399–416. https://doi.org/10.3390/jeta1010027
HoxhaV.DinçerH.YükselS. (2024). Analysis of strategic priorities of green building projects for the efficient energy consumption. International Journal of Energy Sector Management, 18(6), 1221–1243. https://doi.org/10.1108/IJESM-05-2023-0015
27.
HuangJ.BusemeyerJ. R.EbeltZ.PothosE. M. (2024). Bridging the gap between subjective probability and probability judgments: The quantum sequential sampler. Psychological Review, 132(4), 916–955. https://doi.org/10.1037/rev0000489
28.
HuangJ.BusemeyerJ. R.EbeltZ.PothosE. M. (2025). Bridging the gap between subjective probability and probability judgments: The quantum sequential sampler. Psychological Review, 132(4), 916–955. https://doi.org/10.1037/rev0000490
29.
HumrS. A.CananM.DemirM. (2025). A quantum probability approach to improving human–ai decision making. Entropy, 27(2), 152. https://doi.org/10.3390/e27020152
IshwaryaM. S.CherukuriA. K. (2020). Decision-making in cognitive paradoxes with contextuality and quantum formalism. Applied Soft Computing, 95, 106521. https://doi.org/10.1016/j.asoc.2020.106521
32.
KashyapP. K.DohareU.KumarM. P.KumarS. P. (2024). Blockchain and quantum machine learning driven energy trading for electric vehicles. Ad Hoc Networks, 165, 103632. https://doi.org/10.1016/j.adhoc.2024.103632
33.
KhrennikovA. Y. (2024). Contextual measurement model and quantum theory. Royal Society Open Science, 11(3), 231953. https://doi.org/10.1098/rsos.231953
34.
KouG.DinçerH.YükselS.EtiS.AcarM. (2024). Technical assessment of solar energy storage investments with recommender system-enhanced quantum picture fuzzy rough sets. International Journal of Electrical Power & Energy Systems, 163, 10361. https://doi.org/10.1016/j.ijepes.2024.110361
35.
KouG.PamucarD. S. S.YükselS.DinçerH.DeveciM.UmarM. (2024). Evaluation of multidimensional carbon neutrality policies in transportation using a novel quantum picture fuzzy rough modeling. IEEE Transactions on Engineering Management, 71, 7681–7700. https://doi.org/10.1109/TEM.2024.3374385
36.
KovalenkoT.VincentS.YukalovV. I.SornetteD. (2023). Calibration of quantum decision theory: Aversion to large losses and predictability of probabilistic choices. Journal of Physics: Complexity, 4(1), 015009. https://doi.org/10.1088/2632-072X/acbd7e
37.
KurbanovaK.NurmagambetovaA. Z.NurgaliyevaA. M.DinçerH.YükselS.SigayevY. A. (2025). Balanced scorecard-based project priorities of sustainable energy financing via artificial intelligence-enhanced hybrid quantum decision-making modeling. Studia Universitatis “Vasile Goldis” Arad – Economics Series, 35(2), 113–139. https://doi.org/10.2478/sues-2025-0010
LinC. H.TangP.HueteA. R. (2025). Quantum feature-empowered deep classification for fast mangrove mapping. IEEE Transactions on Geoscience and Remote Sensing, 63, 1–13. https://doi.org/10.1109/TGRS.2024.3517459
40.
LiuY.LiQ.WangB.ZhangY.SongD. (2024). A survey of quantum-cognitively inspired sentiment analysis models. ACM Computing Surveys, 56(1), 1–37. https://doi.org/10.1145/3604550
41.
LiuZ.LiuF.ZhangJ.PedryczW. (2023). Optimizing consistency and consensus in group decision making based on relative projection between multiplicative reciprocal matrices. Expert Systems With Applications, 224, 119948. https://doi.org/10.1016/j.eswa.2023.119948
MahmoudiY.ZiouiN.BelbachirH. A. (2025). An improved quantum-inspired particle swarm optimisation approach to reduce energy consumption in iot networks. International Journal of Cognitive Computing in Engineering, 6, 313–322. https://doi.org/10.1016/j.ijcce.2025.01.010
44.
MaksymovI. S.PogrebnaG. (2024). Quantum-mechanical modelling of asymmetric opinion polarisation in social networks. Information, 15(3), 170. https://doi.org/10.3390/info15030170
45.
MandalP.MršićL.KalampakasA.AllahviranlooT. A.SamantaS. (2025). Pythagorean linguistic information-based green supplier selection using quantum-based group decision-making methodology and the multimoora approach. Artificial Intelligence Review, 58(7). https://doi.org/10.1007/s10462-025-11205-x
46.
MeghdadiA.AkbarzadehT. M. R.JavidanK. (2022). A quantum-like cognitive approach to modeling human biased selection behavior. Scientific Reports, 12(1), 22545. https://doi.org/10.1038/s41598-022-13757-2
47.
MeghdadiA.AkbarzadehT. M. R.JavidanK. (2022). A quantum-like model for predicting human decisions in the entangled social systems. IEEE Transactions on Cybernetics, 52(7), 5778–5788. https://doi.org/10.1109/TCYB.2021.3134688
48.
MinghongL.GaoshanF.PengchaoW.XinY.QingL.HouT.ShuoZ. (2025). Behavior-aware energy management in microgrids using quantum-classical hybrid algorithms under social and demand dynamics. Scientific Reports, 15(1), 21326. https://doi.org/10.1038/s41598-025-06199-z
49.
MyeongS.LeeJ. W.BaeJ.ChoC. (2025). Multi-dimensional policy decision-making model based on the quantum probability: The case of Korea’s nuclear power plant policy. Humanities and Social Sciences Communications, 12(1), 911. https://doi.org/10.1057/s41599-025-05019-z
PageM. J.McKenzieJ. E.BossuytP. M.BoutronI.HoffmannT. C.MulrowC. D.ShamseerL.TetzlaffJ. M.AklE. A.BrennanS. E.ChouR.GlanvilleJ.GrimshawJ. M.HróbjartssonA.LaluM. M.LiT.LoderE. W.Mayo-WilsonE.McDonaldS.MoherD. (2021). The prisma 2020 statement: An updated guideline for reporting systematic reviews. Bmj, 372, n71. https://doi.org/10.1136/bmj.n71
52.
PisanoR.SozzoS. (2020). A unified theory of human judgements and decision-making under uncertainty. Entropy, 22(7), 738. https://doi.org/10.3390/e22070738
53.
PoojanSoodS. K. (2024). Scientometric analysis of quantum-inspired metaheuristic algorithms. Artificial Intelligence Review, 57(2), 22. https://doi.org/10.1007/s10462-023-10659-1
54.
PoojanSoodS. K. (2025). Quantum-inspired metaheuristic algorithms for industry 4.0: A scientometric analysis. Engineering Applications of Artificial Intelligence, 139(Part B), 109635. https://doi.org/10.1016/j.engappai.2024.109635
55.
PothosE. M.WaddupO. J.KouassiP.YearsleyJ. M. (2021). What is rational and irrational in human decision making. Quantum Reports, 3(1), 242–252. https://doi.org/10.3390/quantum3010014
56.
RafaïI.DuchêneS.GuerciE.BasievaI. T.KhrennikovA. Y. (2022). The triple-store experiment: A first simultaneous test of classical and quantum probabilities in choice over menus. Theory and Decision, 92(2), 387–406. https://doi.org/10.1007/s11238-021-09823-2
57.
RajkumarN.VijiC.PandalaM. L.VennilaV. B.ShanmugamS. K.NatarajB. (2024). The power of AI, IOT, and advanced quantum based optical systems in smart cities. Optical and Quantum Electronics, 56(3), 450. https://doi.org/10.1007/s11082-023-06065-0
58.
RashkovskiyS. A.KhrennikovA. Y. (2020). Psychological ‘double-slit experiment’ in decision making: Quantum versus classical. Biosystems, 195, 104171. https://doi.org/10.1016/j.biosystems.2020.104171
59.
RawatK. S.YadavM. (2025). Decoding the intellectual landscape and evolving research paradigm of artificial intelligence in environmental sustainability. IEEE Internet of Things Journal, 12(21), 44343–44366. https://doi.org/10.1109/JIOT.2025.3589025
60.
RosnerA.BasievaI. T.Barque-DuranA.GlöcknerA.von HelversenB.KhrennikovA. Y.PothosE. M. (2022). Ambivalence in decision making: An eye tracking study. Cognitive Psychology, 134, 101464. https://doi.org/10.1016/j.cogpsych.2022.101464
61.
Sanz-MartínL.RivasG.Clavijo-BuriticáN.HerreraM.Parra-DomínguezJ. (2025). Mapping the frontier: A review of quantum and evolutionary game theory for complex decision-making. Quantum Information Processing, 24(9), 1–34. https://doi.org/10.1007/s11128-025-04913-4
62.
ShahbazM.DinçerH.YükselS.JiaoZ. L. (2025). An assessment of circular economy-oriented renewable energy projects via artificial intelligence recommender systems and a hybrid quantum fuzzy decision-making approach. Renewable Energy, 244, 122673. https://doi.org/10.1016/j.renene.2025.122673
63.
ShinkawaH.ChauvetN.RöhmA.MihanaT.HorisakiR.BachelierG.NaruseM. (2022). Conflict-free joint sampling for preference satisfaction through quantum interference. Physical Review Applied, 18(6), 064018. https://doi.org/10.1103/PhysRevApplied.18.064018
64.
ShortlandS.PerkinsS. J. (2023). Quantum accountability: When does enough become too much in top pay decision-making?Employee Relations: The International Journal, 45(6), 1455–1475. https://doi.org/10.1108/ER-02-2023-0066
65.
SnowL.JainS.KrishnamurthyV. (2024). Lyapunov based stochastic stability of a quantum decision system for human–machine interaction. Automatica, 164, 111628. https://doi.org/10.1016/j.automatica.2024.111628
66.
SnowL.KrishnamurthyV.SadlerB. M. (2024). Quickest detection for human-sensor systems using quantum decision theory. IEEE Transactions on Signal Processing, 72, 368–383. https://doi.org/10.1109/TSP.2023.3346186
67.
SozzoS. (2020). Explaining versus describing human decisions: Hilbert space structures in decision theory. Soft Computing, 24(14), 10219–10229. https://doi.org/10.1007/s00500-019-04140-x
68.
SozzoS. (2021). Quantum structures in human decision-making: Towards quantum expected utility. International Journal of Theoretical Physics, 60(2), 468–482. https://doi.org/10.1007/s10773-019-04022-w
69.
SozzoS. (2021). Representing attitudes towards ambiguity in Hilbert space: Foundations and applications. Foundations of Science, 26(1), 103–128. https://doi.org/10.1007/s10699-020-09718-5
70.
SuF. L.WangY.WangL. (2023). Comparative analysis optical communication based renewable solar cell and quantum network for the reduction of carbon emission. Optical and Quantum Electronics, 55(10), 860. https://doi.org/10.1007/s11082-023-05140-w
71.
SurovI. A. (2024). What is the difference? Pragmatic formalization of meaning. Scientific and Technical Information Processing, 51(6), 620–628. https://doi.org/10.3103/S0147688224700588
72.
TanX.ZhuJ.WeiG.TongH. (2024). The dual interactions-driven consensus model: Probing the non-cooperative behavior through order effects. Information Fusion, 105, 102212. https://doi.org/10.1016/j.inffus.2023.102212
73.
TanakaS.UmegakiT.Kitoh-NishiokaH. (2023). Dynamical models for quantum decision making. Physica A: Statistical Mechanics and Its Applications, 625, 129003. https://doi.org/10.1016/j.physa.2023.129003
74.
TanakaS.UmegakiT.NishiyamaA.Kitoh-NishiokaH. (2022). Dynamical free energy based model for quantum decision making. Physica A: Statistical Mechanics and Its Applications, 605, 127979. https://doi.org/10.1016/j.physa.2022.127979
WangD.ZengS.WangL.ZhangB.GongC.PiaoZ.ZhengF. (2025). Quantum-enhanced predictive degradation pathway optimization for pv storage systems: A hybrid quantum–classical approach for maximizing longevity and efficiency. Energies, 18(14), 3708. https://doi.org/10.3390/en18143708
77.
WangP.LiuP.LiY.TengF.PedryczW. (2024). Trust exploration- and leadership incubation-based opinion dynamics model for social network group decision-making: A quantum theory perspective. European Journal of Operational Research, 317(1), 156–170. https://doi.org/10.1016/j.ejor.2024.03.025
78.
WhiteL. C.PothosE. M.JarrettM. (2020). The cost of asking: How evaluations bias subsequent judgments. Decision, 7(4), 259–286. https://doi.org/10.1037/dec0000136
79.
WiddowsD.RaniJ.PothosE. M. (2023). Quantum circuit components for cognitive decision-making. Entropy, 25(4), 548. https://doi.org/10.3390/e25040548
80.
WuB.QianC.WangZ.LinP.LiE.ChenH. (2025). Metaseeker: Sketching an open invisible space with self-play reinforcement learning. Light: Science & Applications, 14(1), 211. https://doi.org/10.1038/s41377-025-01876-0
XinL.XinK.XinH. (2023). On laws of thought—a quantum-like machine learning approach. Entropy, 25(8), 1213. https://doi.org/10.3390/e25081213
83.
XuX.WangS.DuZ.RongH.LiQ.WuT.LiS.ZhengJ. (2024). Sustainable pavement maintenance and rehabilitation planning using the quantum cognitive trust network. Developments in the Built Environment, 20, 100553. https://doi.org/10.1016/j.dibe.2024.100553
84.
XuY.YanS.JiF. (2025). A quantum group consensus method incorporating fairness theory. Computers & Industrial Engineering, 207, 111261. https://doi.org/10.1016/j.cie.2025.111261
85.
XuZ.TianH.ZengZ.ZhangL.ZhangY.LiH.ZhangZ.LiuY. (2025). Harnessing nonlinear optoelectronic oscillator for speeding up reinforcement learning. PhotoniX, 6(1), 5. https://doi.org/10.1186/s43074-025-00163-w
86.
YanJ.DongJ.WanS.GaoY. (2025). A quantum probability theory-based method for heterogeneous multi-criteria group decision making with incomplete probabilistic linguistic preference relations considering the interference effect among decision makers. Journal of the Operational Research Society, 76(6), 1225–1251. https://doi.org/10.1080/01605682.2024.2417726
87.
YanS.XuY.CabrerizoF. J.Herrera-ViedmaE. E. (2025). Grey quantum group decision and its application in meteorological disaster emergency. Expert Systems With Applications, 290, 128382. https://doi.org/10.1016/j.eswa.2025.128382
88.
YassenM. A.El-KenawyE. S. M.Abdel-FattahM. G.IsmaelI.Salah MostafaH. E. D. (2025). Renewable energy forecasting using optimized quantum temporal model based on ninja optimization algorithm. Scientific Reports, 15(1), 1–24. https://doi.org/10.1038/s41598-025-97109-w
ZhangQ.BusemeyerJ. R. (2021). A quantum walk model for idea propagation in social network and group decision making. Entropy, 23(5), 622. https://doi.org/10.3390/e23050622
91.
ZhangS.ZhuJ. (2025). Conflict elimination mechanism in group decision-making guided by quantum-integrated personalized risk attitudes. Group Decision and Negotiation, 34(5), 993–1034. https://doi.org/10.1007/s10726-025-09939-8
92.
ZhangS.ZhuJ.TongH. (2024). Risk assessment for complex product delivery: Group decision-making incorporating personalized cognition and dual belief superposition. Engineering Applications of Artificial Intelligence, 133, 108372. https://doi.org/10.1016/j.engappai.2024.108372
93.
ZhengQ.LiuX. (2025). A consensus-based multi-criteria decision making method integrating glds method and quantum probability theory for risk analysis of human errors. Computers & Industrial Engineering, 200, 110847. https://doi.org/10.1016/j.cie.2024.110847
