[en] Quantum circuits are the fundamental computing model of quantum computing. It consists of a sequence of quantum gates that act on a set of qubits to perform a specific computation. For the implementation of quantum circuits, programmable nanophotonic chips provide a promising foundation with a large number of qubits. The current study explores the possible potential of quantum circuits implemented on programmable nanophotonic chips for space technology. In the recent findings, it has been demonstrated that quantum circuits have several advantages over classical circuits, such as exponential speedups, multiple parallel computations, and compact size. Apart from this, nanophotonic chips also offer a number of advantages over traditional chips. They provide high-speed data transfer as light travels faster than electrons. Photons require less energy to transmit data than electrons, so nanophotonic chips consume less power than conventional chips. The bandwidth of nanophotonic chips is greater than that of traditional chips, so they can transfer more data simultaneously. They can be easily scaled to smaller sizes with higher densities and are more robust to extreme temperatures and radiation than classical chips. The focus of the current study is on how quantum circuits could revolutionize space technology by providing faster and more efficient computations for a variety of space-related applications. All the in-depth analysis is carried out while taking currently available state-of-the-art technologies into consideration.
VO Tolcheev. Scientometric analysis of the current state and prospects of the development of quantum technologies. Automatic Documentation and Mathematical Linguistics, 52:121-133, 2018.
Masoud Mohseni, Peter Read, Hartmut Neven, Sergio Boixo, Vasil Denchev, Ryan Babbush, Austin Fowler, Vadim Smelyanskiy, and John Martinis. Commercialize quantum technologies in five years. Nature, 543(7644):171-174, 2017.
Daniele Cozzolino, Beatrice Da Lio, Davide Bacco, and Leif Katsuo Oxenløwe. High-dimensional quantum communication: benefits, progress, and future challenges. Advanced Quantum Technologies, 2(12):1900038, 2019.
Andreas Bayerstadler, Guillaume Becquin, Julia Binder, Thierry Botter, Hans Ehm, Thomas Ehmer, Marvin Erdmann, Norbert Gaus, Philipp Harbach, Maximilian Hess, et al. Industry quantum computing applications. EPJ Quantum Technology, 8(1):25, 2021.
Dan Browne, Sougato Bose, Florian Mintert, and MS Kim. From quantum optics to quantum technologies. Progress in Quantum Electronics, 54:2-18, 2017.
Peter W Shor. Algorithms for quantum computation: discrete logarithms and factoring. In Proceedings 35th annual symposium on foundations of computer science, pages 124-134. Ieee, 1994.
Andrew Steane. Quantum computing. Reports on Progress in Physics, 61(2):117, 1998.
Han-Sen Zhong, Hui Wang, Yu-Hao Deng, Ming-Cheng Chen, Li-Chao Peng, Yi-Han Luo, Jian Qin, Dian Wu, Xing Ding, Yi Hu, et al. Quantum computational advantage using photons. Science, 370(6523):1460-1463, 2020.
Kishor Bharti, Alba Cervera-Lierta, Thi Ha Kyaw, Tobias Haug, Sumner Alperin-Lea, Abhinav Anand, Matthias Degroote, Hermanni Heimonen, Jakob S Kottmann, Tim Menke, et al. Noisy intermediate-scale quantum algorithms. Reviews of Modern Physics, 94(1):015004, 2022.
Yoann Altmann, Stephen McLaughlin, Miles J Pad-gett, Vivek K Goyal, Alfred O Hero, and Daniele Faccio. Quantum-inspired computational imaging. Science, 361(6403):eaat2298, 2018.
Martin P Andersson, Mark N Jones, Kurt V Mikkelsen, Fengqi You, and Seyed Soheil Mansouri. Quantum computing for chemical and biomolecular product design. Current Opinion in Chemical Engineering, 36:100754, 2022.
Parichehr Hassanzadeh. Towards the quantum-enabled technologies for development of drugs or delivery systems. Journal of Controlled Release, 324:260-279, 2020.
Alain Delgado, Pablo AM Casares, Roberto Dos Reis, Modjtaba Shokrian Zini, Roberto Campos, Norge Cruz-Hernández, Arne-Christian Voigt, Angus Lowe, Soran Jahangiri, Miguel Angel Martin-Delgado, et al. Simulating key properties of lithium-ion batteries with a fault-tolerant quantum computer. Physical Review A, 106(3):032428, 2022.
Bayerstadler Andreas, Becquin Guillaume, Julia Binder, Botter Thierry, Hans Ehm, Thomas Ehmer, Marvin Erdmann, Gaus Norbert, Harbach Philipp, Maximilian Hess, et al. Industry quantum computing applications. EPJ Quantum Technology, 8(1), 2021.
Shaukat Ali, Tao Yue, and Rui Abreu. When software engineering meets quantum computing. Communications of the ACM, 65(4):84-88, 2022.
Wanneng Shu and Bingjiao He. A quantum genetic simulated annealing algorithm for task scheduling. In Advances in Computation and Intelligence: Second International Symposium, ISICA 2007 Wuhan, China, September 21-23, 2007 Proceedings 2, pages 169-176. Springer, 2007.
Maria Schuld, Ilya Sinayskiy, and Francesco Petruccione. Prediction by linear regression on a quantum computer. Physical Review A, 94(2):022342, 2016.
Stuart Harwood, Claudio Gambella, Dimitar Trenev, Andrea Simonetto, David Bernal, and Donny Greenberg. Formulating and solving routing problems on quantum computers. IEEE Transactions on Quantum Engineering, 2:1-17, 2021.
Jacob Biamonte, Peter Wittek, Nicola Pancotti, Patrick Rebentrost, Nathan Wiebe, and Seth Lloyd. Quantum machine learning. Nature, 549(7671):195-202, 2017.
Seth Lloyd, Masoud Mohseni, and Patrick Rebentrost. Quantum principal component analysis. Nature Physics, 10(9):631-633, 2014.
Hong Li, Nan Jiang, Rui Zhang, Zichen Wang, and Hail-iang Wang. Quantum support vector machine based on gradient descent. International Journal of Theoretical Physics, 61(3):92, 2022.
Daoyi Dong, Chunlin Chen, Hanxiong Li, and Tzyh-Jong Tarn. Quantum reinforcement learning. IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 38(5):1207-1220, 2008.
Nathan Wiebe, Ashish Kapoor, and Krysta M Svore. Quantum deep learning. arXiv preprint arXiv:1412.3489, 2014.
Maria Schuld, Francesco Petruccione, Maria Schuld, and Francesco Petruccione. Quantum models as kernel methods. Machine Learning with Quantum Computers, pages 217-245, 2021.
Xiaojiong Chen, Zhaorong Fu, Qihuang Gong, and Jianwei Wang. Quantum entanglement on photonic chips: a review. Advanced Photonics, 3(6):064002-064002, 2021.
Eyob A Sete, William J Zeng, and Chad T Rigetti. A functional architecture for scalable quantum computing. In 2016 IEEE International Conference on Rebooting Computing (ICRC), pages 1-6. IEEE, 2016.
Robert H Hadfield. Single-photon detectors for optical quantum information applications. Nature photonics, 3(12):696-705, 2009.
AA Jørgensen, D Kong, MR Henriksen, F Klejs, Z Ye, OB Helgason, HE Hansen, H Hu, M Yankov, S Forchhammer, et al. Petabit-per-second data transmission using a chip-scale microcomb ring resonator source. Nature Photonics, pages 1-5, 2022.
Mark G Thompson, Alberto Politi, Jonathan CF Matthews, and Jeremy Lloyd O'Brien. Integrated waveguide circuits for optical quantum computing. IET circuits, devices & systems, 5(2):94-102, 2011.
Sarah A Gavit, Paulett C Liewer, Richard A Wallace, Juan A Ayon, and Robert H Frisbee. Interstellar travel-challenging propulsion and power technologies for the next 50 years. In AIP Conference Proceedings, volume 552, pages 716-726. American Institute of Physics, 2001.
Mike Shafto, Mike Conroy, Rich Doyle, Ed Glaessgen, Chris Kemp, Jacqueline LeMoigne, and Lui Wang. Modeling, simulation, information technology & processing roadmap. National Aeronautics and Space Administration, 32(2012):1-38, 2012.
PL Jensen, K Clausen, C Cassi, F Ravera, G Janin, C Winkler, and R Much. The integral spacecraft-in-orbit performance. Astronomy & Astrophysics, 411(1):L7-L17, 2003.
Martin N Sweeting. Modern small satellites-changing the economics of space. Proceedings of the IEEE, 106(3):343-361, 2018.
Dennis M Bushnell. Survey of quantum technologies in aerospace. 2023.
Timothy L Howard. Aspects of quantum sensing for aerospace systems. In AIAA Scitech 2020 Forum, page 0711, 2020.
M Mariola, A Mirza, and F Petruccione. Quantum cryptography for satellite communication. In Proceedings of SAIP2011, the 56th Annual Conference of the South African Institute of Physics, edited by I. Basson and AE Botha (University of South Africa, Pretoria, 2011), pages 403-408, 2011.
Rabia Abid, Bakhtawar Aslam, Sadaf Shakeel, Fahad Ahmad, and Muhammad Rizwan. Implementation of high dimensional-qkd using bb84 protocol in the security of aerospace industry. In 2019 International Conference on Innovative Computing (ICIC), pages 1-11. IEEE, 2019.
Arianna Borrelli. Dirac's bra-ket notation and the notion of a quantum state. In Styles of Thinking in Science and Technology. Proceedings of the 3rd International Conference of the European Society for the History of Science, pages 361-371, 2010.
Michael A Nielsen and Isaac Chuang. Quantum computation and quantum information, 2002.
Dik Bouwmeester, Jian-Wei Pan, Klaus Mattle, Manfred Eibl, Harald Weinfurter, and Anton Zeilinger. Experimental quantum teleportation. Nature, 390(6660):575-579, 1997.
Chuan Wang, Fu-Guo Deng, Yan-Song Li, Xiao-Shu Liu, and Gui Lu Long. Quantum secure direct communication with high-dimension quantum superdense coding. Physical Review A, 71(4):044305, 2005.
Ryszard Horodecki, Pawel Horodecki, Michal Horodecki, and Karol Horodecki. Quantum entanglement. Reviews of modern physics, 81(2):865, 2009.
Richard Jozsa and Noah Linden. On the role of entanglement in quantum-computational speed-up. Proceedings of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences, 459(2036):2011-2032, 2003.
David Deutsch. Quantum theory, the church-turing principle and the universal quantum computer. Proceedings of the Royal Society of London. A. Mathematical and Physical Sciences, 400(1818):97-117, 1985.
Sirui Lu, Mari Carmen Banuls, and J Ignacio Cirac. Algorithms for quantum simulation at finite energies. PRX Quantum, 2(2):020321, 2021.
Edward Farhi, Jeffrey Goldstone, and Sam Gutmann. A quantum approximate optimization algorithm. arXiv preprint arXiv:1411.4028, 2014.
Gui-Lu Long. Grover algorithm with zero theoretical failure rate. Physical Review A, 64(2):022307, 2001.
Harry Buhrman, Richard Cleve, and Avi Wigderson. Quantum vs. classical communication and computation. In Proceedings of the thirtieth annual ACM symposium on Theory of computing, pages 63-68, 1998.
Himanshu Thapliyal, Edgard Muñoz-Coreas, and Vladislav Khalus. Quantum carry lookahead adders for nisq and quantum image processing. arXiv preprint arXiv:2106.04758, 2021.
Wen Guan, Gabriel Perdue, Arthur Pesah, Maria Schuld, Koji Terashi, Sofia Vallecorsa, and Jean-Roch Vlimant. Quantum machine learning in high energy physics. Machine Learning: Science and Technology, 2(1):011003, 2021.
Amine Zeguendry, Zahi Jarir, and Mohamed Quafafou. Quantum machine learning: A review and case studies. Entropy, 25(2):287, 2023.
HY Huang, M Broughton, M Mohseni, R Babbush, S Boixo, H Neven, and JR McClean. Power of data in quantum machine learning nat, 2021.
Qiuchi Li, Dimitris Gkoumas, Alessandro Sordoni, Jian-Yun Nie, and Massimo Melucci. Quantum-inspired neural network for conversational emotion recognition. In Proceedings of the AAAI Conference on Artificial Intelligence, volume 35, pages 13270-13278, 2021.
Salvador E Venegas-Andraca and Sougato Bose. Storing, processing, and retrieving an image using quantum mechanics. In Quantum information and computation, volume 5105, pages 137-147. SPIE, 2003.
Jose I Latorre. Image compression and entanglement. arXiv preprint quant-ph/0510031, 2005.
Salvador E Venegas-Andraca and JL Ball. Processing images in entangled quantum systems. Quantum Information Processing, 9(1):1-11, 2010.
Phuc Q Le, Fangyan Dong, and Kaoru Hirota. A flexible representation of quantum images for polynomial preparation, image compression, and processing operations. Quantum Information Processing, 10:63-84, 2011.
Yi Zhang, Kai Lu, Yinghui Gao, and Mo Wang. Neqr: a novel enhanced quantum representation of digital images. Quantum information processing, 12:2833-2860, 2013.
Nan Jiang, Jian Wang, and Yue Mu. Quantum image scaling up based on nearest-neighbor interpolation with integer scaling ratio. Quantum information processing, 14(11):4001-4026, 2015.
Nan Jiang, Xiaowei Lu, Hao Hu, Yijie Dang, and Yongquan Cai. A novel quantum image compression method based on jpeg. International Journal of Theoretical Physics, 57:611-636, 2018.
Mohammad Amin Maleki Sadr, Yeying Zhu, and Peng Hu. Multivariate variance-based genetic ensemble learning for satellite anomaly detection. IEEE Transactions on Vehicular Technology, 2023.
Jiang Tao, Yunfeng Cao, and Meng Ding. Sdebrisnet: A spatial-temporal saliency network for space debris detection. Applied Sciences, 13(8):4955, 2023.
Saeed Matar Al Jaberi, Asma Patel, and Ahmed N ALMasri. Object tracking and detection techniques under gann threats: A systemic review. Applied Soft Computing, page 110224, 2023.
Siddarth Kaki, Jacob Deutsch, Kevin Black, Asher Cura-Portillo, Brandon A Jones, and Maruthi R Akella. Real-time image-based relative pose estimation and filtering for spacecraft applications. Journal of Aerospace Information Systems, 20(6):290-307, 2023.
Herbert Viggh, Sean Loughran, Yaron Rachlin, Ross Allen, and Jessica Ruprecht. Training deep learning spacecraft component detection algorithms using synthetic image data. In 2023 IEEE Aerospace Conference, pages 1-13. IEEE, 2023.
Iris Cong, Soonwon Choi, and Mikhail D Lukin. Quantum convolutional neural networks. Nature Physics, 15(12):1273-1278, 2019.
Guangyuan Zhao, Xue Wan, Yaolin Tian, Yadong Shao, and Shengyang Li. 3d component segmentation network and dataset for non-cooperative spacecraft. Aerospace, 9(5):248, 2022.
Inc CiteDrive. Models of quantum computation, 2022. http://tph.tuwien.ac.at/~oemer/doc/quprog/node9.html [Accessed: (06-07-2023)].
Peter W Shor. Quantum computing. Documenta Mathematica, 1(1000):1, 1998.
Ananda Roy and David P DiVincenzo. Topological quantum computing. arXiv preprint arXiv:1701.05052, 2017.
Satoshi Iriyama, Masanori Ohya, and Igor Volovich. Generalized quantum turing machine and its application to the sat chaos algorithm. In Quantum Information and Computing, pages 204-225. World Scientific, 2006.
B Omer. Quantum programming in qcl. institute of information systems, technical university of vienna (2000).
Victor Martin-Mayor and Itay Hen. Unraveling quantum annealers using classical hardness. Scientific reports, 5(1):15324, 2015.
Nathalie P De Leon, Kohei M Itoh, Dohun Kim, Karan K Mehta, Tracy E Northup, Hanhee Paik, BS Palmer, Nitin Samarth, Sorawis Sangtawesin, and David W Steuerman. Materials challenges and opportunities for quantum computing hardware. Science, 372(6539):eabb2823, 2021.
Juan M Arrazola, Ville Bergholm, Kamil Brádler, Thomas R Bromley, Matt J Collins, Ish Dhand, Alberto Fumagalli, Thomas Gerrits, Andrey Goussev, Lukas G Helt, et al. Quantum circuits with many photons on a programmable nanophotonic chip. Nature, 591(7848):54-60, 2021.
A Morvan, B Villalonga, X Mi, S Mandra, A Bengtsson, PV Klimov, Z Chen, S Hong, C Erickson, IK Drozdov, et al. Phase transition in random circuit sampling. arXiv preprint arXiv:2304.11119, 2023.