Quantum Horizons: Shaping the Future of Computing

Authors

Keywords:

Quantum Computing, Smart Technologies, IoT

Abstract

Quantum computing, a transformative technology poised to revolutionize multiple sectors, is emerging from the realm of theoretical physics into practical application. Unlike classical computers, which process information in binary bits, quantum computers utilize quantum bits or qubits, enabling them to perform complex calculations at unprecedented speeds. This leap in computational power has the potential to solve problems currently deemed intractable, such as complex optimization issues, large-scale simulations in chemistry and material science, and advanced cryptography. As quantum hardware and algorithms continue to evolve, we foresee significant advancements in fields like artificial intelligence, where quantum computing could enhance machine learning models and data processing capabilities. However, this transition is fraught with challenges, including qubit stability, error correction, and the need for a new programming paradigm. Leading technology companies and research institutions are heavily investing in overcoming these hurdles, signalling a new era of innovation. The integration of quantum computing with classical systems may also lead to hybrid models, unlocking further potential. As we stand on the cusp of this quantum revolution, the future promises a profound impact on science, technology, and society, driving us toward solutions that were once the domain of science fiction

References

[1] Nielsen, M. A., & Chuang, I. L. (2010). Quantum Computation and Quantum Information: 10th Anniversary Edition. Cambridge University Press.

[2] Preskill, J. (2018). Quantum Computing in the NISQ era and beyond. Quantum, 2, 79.

[3] Shor, P. W. (1994). Algorithms for quantum computation: Discrete logarithms and factoring. Proceedings International Research Journal of Scientific StudiesISSN: 3048-8451 Online)August 2024, Volume 1, Issue 1Paper ID: AUG240802www.irjss.com1135th Annual Symposium on Foundations of Computer Science, 124-134.

[4] Aspuru-Guzik, A., & Walther, P. (2012). Photonic quantum simulators. Nature Physics, 8(4), 285-291.

[5] Farhi, E., Goldstone, J., & Gutmann, S. (2014). A quantum approximate optimization algorithm. arXiv preprint arXiv:1411.4028.

[6] Zurek, W. H. (2003). Decoherence, einselection, and the quantum origins of the classical. Reviews of Modern Physics, 75(3), 715.

[7] Devitt, S. J., Munro, W. J., & Nemoto, K. (2013). Quantum error correction for beginners. Reports on Progress in Physics, 76(7), 076001.

[8] Kitaev, A. Y.(2003). Fault-tolerant quantum computation by anyons. Annals of Physics, 303(1), 2-30.

[9] Aleksandrowicz, G., et al. (2019). Qiskit: An open-source framework for quantum computing. Zenodo.

[10] IBM Quantum Experience. (2020). https://quantum-computing.ibm.com/

[11] Arute, F., et al. (2019). Quantum supremacy using a programmable superconducting processor. Nature, 574(7779), 505-510.

[12] Freedman, M. H. (1998). P/NP, and the quantum field computer. Proceedings of the National Academy of Sciences, 95(1), 98-101.

[13] Banerjee, B., & Patel, J. T. (2016). A symmetric key block cipher to provide confidentiality in wireless sensor networks. Infocomp journal of computer science, 15(1), 12-18.

[14] Banerjee, B. (2019). Avalanche effect: A judgement parameter of strength in symmetric key block ciphers. International journal of engineering development and research, 7(2), 116-121.

[15] Banerjee, B., Jani, A., Shah, N., & Patel, A. (2020). Post Quantum Security Enhancement Scheme in IoT Blockchain Framework. GIS Science Journal, 7(6), 664-672.

[16] Patel, M. K., Uchhula, V. V., & Banerjee, B. (2013). Comparative Analysis of Routing Protocols in MANET Based on Packet Delivery Ratio using NS2. Int. J. Adv. Res. Comput. Sci. Softw. Eng, 3(11), 172-177.

[17] Banerjee, B., Jani, A., & Shah, N. (2021). Asymmetric confidentiality in blockchain embedded smart grids in galois field. Frontiers in Blockchain, 4, 770074.

[18] Banerjee, B., Jani, A., & Shah, N. (2021). Traditional and quantum approaches against shor’s algorithm: A review. International journal of research publication and reviews, 2(2), 6.

[19] Mehta, J., Panwar, D. S., Ghardesia, S., Chauhan, A., Atodariya, V. V., Banerjee, B., ... & Bhakhar, M. S. (2020). Drying of banana-stepwise effect in drying air temperature on drying kinetics. The Open Chemical Engineering Journal, 14(1).

[20] Biswas, N., Santra, D., Banerjee, B., & Biswas, S. (2024). Harnessing the Power of Machine Learning for Parkinson's Disease Detection. In AIoT and Smart Sensing Technologies for Smart Devices (pp. 140-155). IGI Global.

[21] Saha, G., Banerjee, B., & Joshi, F. M. (2022). Predictive Edge Computing of SST Time-Series-Based Marine Warning System using Cloud Computing Infrastructure. In Cloud IoT (pp. 59-74). Chapman and Hall/CRC. International Research Journal of Scientific StudiesISSN: 3048-8451 (Online)August 2024, Volume 1, Issue 1Paper ID: AUG240802www.irjss.com12

[22] Banerjee, B., & Saha, G. (2022). Emotion Independent Face Recognition-Based Security Protocol in IoT-Enabled Devices. In Cloud IoT (pp. 199-218). Chapman and Hall/CRC.

[23] Banerjee, B., Jani, A., & Shah, N. (2021). A genetic blockchain approach for securing smart vehicles in quantum era. In Vehicular Communications for Smart Cars (pp. 85-108). CRC Press.

[24] Banerjee, B., Jani, A., & Shah, N. (2021). Digital Image Encryption Using Double Crossover Approach for SARS-CoV-2 Infected Lungs in a Blockchain Framework. Frontiers in Blockchain, 4, 771241.

[25] Banerjee, B., Hazra, D., & Sarkar, D. (2024). IoT-Enabled Water Quality Management System for Rural Areas of Bharuch District. In Water Informatics: Challenges and Solutions Using State of Art Technologies (pp. 33-47). Singapore: Springer Nature Singapore.

[26] Patel, M. K., Uchhula, V., & Banerjee, B. Comparative Evaluation of AODV, DSDV and AOMDV based on end-to-end delay and routing overhead using Network Simulator.

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Published

2024-08-31

How to Cite

Banerjee, B. (2024). Quantum Horizons: Shaping the Future of Computing. International Research Journal of Scientific Studies, 1(1), 7–12. Retrieved from https://irjss.com/index.php/j/article/view/2

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Review Article