Quantum computing

Aaronson, S. (2008). THE LIMITS OF Quantum. Scientific American, 298(3), 62–69. http://www.jstor.org/stable/26000518. Accessed 3 June 2021 Albash, T., & Lidar, D. A. (2018). Adiabatic quantum computation. Reviews of Modern Physics, 90(1), 015002-1-0150026–4. https://doi.org/10.1103/RevModPhys.90.015002 Almudever, C. G., Lao, L., Fu, X., Khammassi, N., Ashraf, I., Iorga, D., Varsamopoulos, S., Eichler, C., Wallraff, A., Geck, L., Kruth, A., Knoch, J., Bluhm, H., & Bertels, K. (2017). The engineering challenges in quantum computing, Design, Automation & Test in Europe Conference & Exhibition (DATE), 2017, 836–845. https://doi.org/10.23919/DATE.2017.7927104 Arute, F., Arya, K., Babbush, R., Bacon, D., Bardin, J. C., Barends, R., Biswas, R., Boixo, S., Brandao, F. G. S. L., Buell, D. A., Burkett, B., Chen, Y., Chen, Z., Chiaro, B., Collins, R., Courtney, W., Dunsworth, A., Farhi, E., Foxen, B., & Martinis, J. M. (2019). Quantum supremacy using a programmable superconducting processor. Nature, 574(7779), 505–510. https://doi.org/10.1038/s41586-019-1666-5 Benioff, P. (1980). The computer as a physical system: A microscopic quantum mechanical Hamiltonian model of computers as represented by Turing machines. Journal of Statistical Physics, 22(5), 563–591. https://doi.org/10.1007/BF01011339 Bennett, C. H., & Brassard, G. (2014). Quantum cryptography: Public key distribution and coin tossing. Theoretical Computer Science, 560, 7–11. https://doi.org/10.1016/j.tcs.2014.05.025 Boehringer-Ingelheim. (2021). Partnership in quantum computing for Pharma R&D | Press. https://www.boehringer-ingelheim.com/press-release/partnering-google-quantum-computing. Accessed 3 June 2021 Bosch, S. (2020). Quantum algorithms for linear algebra and optimization [Master Thesis, École polytechnique fédérale de Lausanne]. Library catalog. https://www.academia.edu/43923193/Quantum_Algorithms_for_Linear_Algebra_and_Optimization?source=swp_share. Accessed 3 June 2021 Braun, M. C., Decker, T., Hegemann, N., Kerstan, S. F., & Schäfer, C. (2021). A quantum algorithm for the sensitivity analysis of business risks. http://arxiv.org/pdf/2103.05475v1. Accessed 3 June 2021 Budde, F., & Volz, D. (2019). The next big thing? Quantum computing’s potential impact on chemicals. https://www.mckinsey.com/industries/chemicals/our-insights/the-next-big-thing-quantum-computings-potential-impact-on-chemicals. Accessed 3 June 2021 Carrel-Billiard, M., Treat, D., Dukatz, C., & Ramesh, S. (2021). Accenture get ready for the quantum impact. https://www.accenture.com/_acnmedia/PDF-144/Accenture-Get-Ready-for-the-Quantum-Impact.pdf. Accessed 3 June 2021 Chakrabarti, S., Krishnakumar, R., Mazzola, G., Stamatopoulos, N., Woerner, S., & Zeng, W. J. (2021). A threshold for quantum advantage in derivative pricing. Quantum, 5, 463–504. https://doi.org/10.22331/q-2021-06-01-463 Ciliberto, C., Herbster, M., Ialongo, A. D., Pontil, M., Rocchetto, A., Severini, S., & Wossnig, L. (2018). Quantum machine learning: A classical perspective. Proceedings Mathematical, Physical, and Engineering Sciences, 474(2209), 20170551. https://doi.org/10.1098/rspa.2017.0551 DeBenedictis, E. P. (2018). A future with quantum machine learning. Computer, 51(2), 68–71. https://doi.org/10.1109/MC.2018.1451646 Dendukuri, A., & Luu, K. (2018). Image processing in quantum computers. http://arxiv.org/pdf/1812.11042v3. Accessed 3 June 2021 Ding, Y., & Chong, F. T. (2020). Quantum computer systems: Research for noisy intermediate-scale quantum computers. Synthesis lectures on computer architecture. Morgan &Claypool. https://doi.org/10.2200/S01014ED1V01Y202005CAC051 Egger, D. J., Gambella, C., Marecek, J., McFaddin, S., Mevissen, M., Raymond, R., Simonetto, A., Woerner, S., & Yndurain, E. (2020). Quantum computing for finance: State-of-the-art and future prospects. IEEE Transactions on Quantum Engineering, 1, 1–24. https://doi.org/10.1109/TQE.2020.3030314 Einstein, A., Podolsky, B., & Rosen, N. (1935). Can quantum-mechanical description of physical reality be considered complete? Physical Review, 47(10), 777–780. https://doi.org/10.1103/PhysRev.47.777 Feynman, R. P. (1982). Simulating physics with computers. International Journal of Theoretical Physics, 21(6–7), 467–488. https://doi.org/10.1007/BF02650179 Gambetta, J. (2020). IBM’s Roadmap for scaling quantum technology. https://www.ibm.com/blogs/research/2020/09/ibm-quantum-roadmap/. Accessed 3 June 2021 Gao, X., Zhang, Z.-Y., & Duan, L.-M. (2018). A quantum machine learning algorithm based on generative models. Science Advances, 4(12), eaat9004. https://doi.org/10.1126/sciadv.aat9004 Gartner. (2019). The CIO's guide to quantum computing. https://www.gartner.com/smarterwithgartner/the-cios-guide-to-quantum-computing. Accessed 3 June 2021 Gerbert, P., & Ruess, F. (2018). The next decade in quantum computing and how to play. https://www.bcg.com/publications/2018/next-decade-quantum-computing-how-play. Accessed 3 June 2021 Grover, L. K. (1996). A fast quantum mechanical algorithm for database search. In Proceedings of the twenty-eighth annual ACM symposium on Theory of Computing, pp. 212–219. https://doi.org/10.1145/237814.237866 Grumbling, E., & Horowitz, M. (2019). Quantum computing: Progress and prospects (2019). National Academies Press. https://doi.org/10.17226/25196 Hadda, M., & Schinasi-Halet, G. (2019). Quantum computing: A technology of the future already present. https://www.pwc.fr/fr/assets/files/pdf/2019/11/en-france-pwc-point-of-view-quantum-computing-2019.pdf. Accessed 3 June 2021 Hann, C. T., Zou, C.-L., Zhang, Y., Chu, Y., Schoelkopf, R. J., Girvin, S. M., & Jiang, L. (2019). Hardware-efficient quantum random access memory with hybrid quantum acoustic systems. Physical Review Letters, 123(25), 250501. https://doi.org/10.1103/PhysRevLett.123.250501 Harrow, A., Hayden, P., & Leung, D. (2004). Superdense coding of quantum states. Physical Review Letters, 92(18), 187901. https://doi.org/10.1103/PhysRevLett.92.187901 Harrow, A. W., Hassidim, A., & Lloyd, S. (2009). Quantum algorithm for linear systems of equations. Physical Review Letters, 103(15), 150502. Hartmann, M. J., & Deppe, F. (2021). Erste Demonstration von Quantenüberlegenheit. https://doi.org/10.1002/piuz.202001587 Hazan, E., Ménard, A., Patel, M., & Ostojic, I. (2020). The next tech revolution: quantum computing. https://www.mckinsey.com/fr/~/media/McKinsey/Locations/Europe%20and%20Middle%20East/France/Our%20Insights/The%20next%20tech%20revolution%20Quantum%20Computing/Quantum-Computing.ashx. Accessed 3 June 2021 Hoffmann, M. (2021). The quantum speedup will allow completely new applications. Digitale Welt, 5(2), 10–12. https://doi.org/10.1007/s42354-021-0329-5 Hughes, C., Finke, D., German, D.‑A., Merzbacher, C., Vora, P. M., & Lewandowski, H. J. (2022). Assessing the needs of the quantum industry. IEEE Transactions on Education, 1–10. https://doi.org/10.1109/TE.2022.3153841 IBM. (2019). Building your quantum capability: The case for joining an “ecosystem". https://www.ibm.com/thought-leadership/institute-business-value/report/quantumeco. Accessed 3 June 2021 Johnson, M. W., Amin, M. H. S., Gildert, S., Lanting, T., Hamze, F., Dickson, N., Harris, R., Berkley, A. J., Johansson, J., Bunyk, P., Chapple, E. M., Enderud, C., Hilton, J. P., Karimi, K., Ladizinsky, E., Ladizinsky, N., Oh, T., Perminov, I., Rich, C., & Rose, G. (2011). Quantum annealing with manufactured spins. Nature, 473(7346), 194–198. https://doi.org/10.1038/nature10012 Kühn, M., Zanker, S., Deglmann, P., Marthaler, M., & Weiß, H. (2019). Accuracy and resource estimations for quantum chemistry on a near-term quantum computer. Journal of Chemical Theory and Computation, 15(9), 4764–4780. https://doi.org/10.1021/acs.jctc.9b00236 Langione, M., Tillemann-Dick, C., Kumar, A [Amit], & Taneja, V. (2019). Where will quantum computers create value—and when? https://www.bcg.com/publications/2019/quantum-computers-create-value-when. Accessed 3 June 2021 Li, S.-S., Long, G.-L., Bai, F.-S., Feng, S.-L., & Zheng, H.-Z. (2001). Quantum computing. Proceedings of the National Academy of Sciences of the United States of America, 98(21), 11847–11848. https://doi.org/10.1073/pnas.191373698 Li, Y [Yangyang], Tian, M., Liu, G., Peng, C., & Jiao, L. (2020). Quantum optimization and quantum learning: A Survey. IEEE Access, 8, 23568–23593. https://doi.org/10.1109/ACCESS.2020.2970105 Lorenz, R., Pearson, A., Meichanetzidis, K., Kartsaklis, D., & Coecke, B. (2021). QNLP in practice: Running compositional models of meaning on a quantum computer. http://arxiv.org/pdf/2102.12846v1. Accessed 3 June 2021 Lycett, M. (2013). ‘Datafication’: Making sense of (big) data in a complex world. European Journal of Information Systems, 22(4), 381–386. https://doi.org/10.1057/ejis.2013.10 Marinescu, D. C., & Marinescu, G. M. (2012). Quantum error-correcting codes. In Classical and Quantum Information (pp. 455–562). Elsevier. https://doi.org/10.1016/B978-0-12-383874-2.00005-9 Ménard, A., Ostojic, I., Patel, M., & Volz, D. (2020). A game plan for quantum computing. https://www.mckinsey.com/business-functions/mckinsey-digital/our-insights/a-game-plan-for-quantum-computing. Accessed 3 June 2021 Mendling, J., Pentland, B. T., & Recker, J. (2020). Building a complementary agenda for business process management and digital innovation. European Journal of Information Systems, 29(3), 208–219. https://doi.org/10.1080/0960085X.2020.1755207 Mone, G. (2020). The quantum threat. Communications of the ACM, 63(7), 12–14. https://doi.org/10.1145/3398388 Mooney, G. J., Hill, C. D., & Hollenberg, L. C. L. (2019). Entanglement in a 20-qubit superconducting quantum computer. Scientific Reports, 9(1), 13465. https://doi.org/10.1038/s41598-019-49805-7 Motta, M., Gujarati, T. P., Rice, J. E., Kumar, A [Ashutosh], Masteran, C., Latone, J. A., Lee, E., Valeev, E. F., & Takeshita, T. Y. (2020). Quantum simulation of electronic structure with a transcorrelated Hamiltonian: Improved accuracy with a smaller footprint on the quantum computer. Physical Chemistry Chemical Physics: PCCP, 22(42), 24270–24281. https://doi.org/10.1039/d0cp04106h Neukart, F. (2021). Quantencomputing in der Automobilindustrie. Digitale Welt, 5(2), 34–37. https://doi.org/10.1007/s42354-021-0334-8 Neukart, F., Compostella, G., Seidel, C., von Dollen, D., Yarkoni, S., & Parney, B. (2017). Traffic flow optimization using a quantum annealer. Frontiers in ICT, 4, 29. https://doi.org/10.3389/fict.2017.00029 OECD. (2021). Significant shortages exist in ICT and other STEM related knowledge domains. In OECD Economic Surveys: Portugal. OECD Economic Surveys: Portugal 2021. OECD. https://doi.org/10.1787/f1155a36-en Park, D. K., Petruccione, F., & Rhee, J.-K.K. (2019). Circuit-based quantum random access memory for classical data. Scientific Reports, 9(1), 3949. https://doi.org/10.1038/s41598-019-40439-3 Recker, J., Lukyanenko, R., Jabbari, M., Samuel, B., & Castellanos, A. (2021). From representation to mediation: A new agenda for conceptual modeling research in a digital world. MIS Quarterly, 45(1a), 269–300. https://doi.org/10.25300/MISQ/2021/16027 Scarani, V., Bechmann-Pasquinucci, H., Cerf, N. J., Dušek, M., Lütkenhaus, N., & Peev, M. (2009). The security of practical quantum key distribution. Reviews of Modern Physics, 81(3), 1301–1350. https://doi.org/10.1103/RevModPhys.81.1301 Schrödinger, E. (1935). Discussion of probability relations between separated systems. Mathematical Proceedings of the Cambridge Philosophical Society, 31(4), 555–563. https://doi.org/10.1017/S0305004100013554 Shor, P. W. (1994). Algorithms for quantum computation: discrete logarithms and factoring. In Proceedings of the 35th Annual Symposium on Foundations of Computer Science. IEEE Computer Society, 124–134. https://doi.org/10.1109/SFCS.1994.365700 Shor, P. W. (1995). Scheme for reducing decoherence in quantum computer memory. Physical Review a, 52(4), R2493. https://doi.org/10.1103/PhysRevA.52.R2493 Steane, A. (1998). Quantum computing. Reports on Progress in Physics, 61(2), 117–173. https://doi.org/10.1088/0034-4885/61/2/002 vom Brocke, J., Baier, M.-S., Schmiedel, T., Stelzl, K., Röglinger, M., & Wehking, C. (2021). Context-aware business process management. Business & Information Systems Engineering, 63(5), 533–550. https://doi.org/10.1007/s12599-021-00685-0 Yarkoni, S., Leib, M., Skolik, A., Streif, M., Neukart, F., & von Dollen, D. (2019). Volkswagen and quantum computing: An industrial perspective. Digitale Welt, 3(2), 34–37. https://doi.org/10.1007/s42354-019-0166-y Zhong, H.‑S., Wang, H., Deng, Y.‑H., Chen, M.‑C., Peng, L.‑C., Luo, Y.‑H., Qin, J., Wu, D., Ding, X., Hu, Y., Hu, P., Yang, X.‑Y., Zhang, W.‑J., Li, H., Li, Y [Yuxuan], Jiang, X., Gan, L., Yang, G., You, L., Wang, Z., Li, L., Liu, N.-L., Lu, C.-Y., & Pan, J.‑W. (2020). Quantum computational advantage using photons. Science (New York, N.Y.), 370(6523), 1460–1463. https://doi.org/10.1126/science.abe8770 Ziegler, M., & Leonhardt, T. (2019). Quantum computing. Applied now. Digitale Welt, 3(2), 50–52. https://doi.org/10.1007/s42354-019-0170-2