The DOI matches its Crossref record; 71 of the 76 references it cites were found in a registry or an index.
Quantum computing for energy systems optimization: Challenges and opportunities
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“Ajagekar and You [3] apply QA to three problems from energy systems, namely, facility location allocation, unit commitment, and heat exchanger networks”
From Quantum Combinatorial Optimization in the NISQ Era: A Systematic Mapping Study (2024) · cites this paper as [3]
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Citations
Cites
Algorithms for quantum computation: discrete logarithms and factoring
Shor, P. W. (2002) · Proceedings 35th Annual Symposium on Foundations of Computer Science · doi:10.1109/sfcs.1994.365700 · Cited by 8,713
Quantum Computation and Quantum Information: 10th Anniversary Edition
Nielsen, M. A., & Chuang, I. L. (2012) · doi:10.1017/cbo9780511976667 · Cited by 8,436
Glover, F., & Laguna, M. (1997) · Cited by 5,679
Biamonte, J., Wittek, P., Pancotti, N., Rebentrost, P., Wiebe, N., & Lloyd, S. (2017) · Nature · doi:10.1038/nature23474 · Cited by 4,779
A variational eigenvalue solver on a photonic quantum processor
Peruzzo, A., McClean, J., Shadbolt, P., Yung, M.-H., Zhou, X.-Q., Love, P. J., Aspuru-Guzik, A., & O’Brien, J. L. (2014) · Nature Communications · doi:10.1038/ncomms5213 · Cited by 4,552 · cited 1×
“In the field of chemistry and optimization, a classical-quantum hybrid algorithm called Variational Quantum Eigensolver (VQE) has shown exceptional performance in terms of speed and resource utilization [31].”
BackgroundQuantum Mechanics Helps in Searching for a Needle in a Haystack
Grover, L. K. (1997) · Physical Review Letters · doi:10.1103/physrevlett.79.325 · Cited by 4,306 · cited 1×
“This is evident from the quantum algorithm proposed by Shor for factorization which is exponentially faster than any known classical algorithm [12], and Grover’s quantum search algorithm capable of searching a large database in time square root of its size [13].”
MethodQuantum Algorithm for Linear Systems of Equations
Harrow, A. W., Hassidim, A., & Lloyd, S. (2009) · Physical Review Letters · doi:10.1103/physrevlett.103.150502 · Cited by 3,325
Dowsland, K. A., & Thompson, J. M. (2012) · Springer eBooks · doi:10.1007/978-3-540-92910-9_49 · Cited by 2,470
Quantum annealing in the transverse Ising model
Kadowaki, T., & Nishimori, H. (1998) · Physical Review E · doi:10.1103/physreve.58.5355 · Cited by 2,339
Quantum computation and quantum information
Paul, T. (2007) · Mathematical Structures in Computer Science · doi:10.1017/s0960129507006317 · Cited by 2,009
Cited by
Sorted by citations
Ghiasi, M. I., Niknam, T., Wang, Z., Mehrandezh, M., Dehghani, M., & Ghadimi, N. (2022) · Electric Power Systems Research · doi:10.1016/j.epsr.2022.108975 · Cited by 497
Quantum computing: A taxonomy, systematic review and future directions
Gill, S. S., Kumar, A., Singh, H., Singh, M., Kaur, K., Usman, M., & Buyya, R. (2021) · Software Practice and Experience · doi:10.1002/spe.3039 · Cited by 579
“Quantum computers are expected to be more energy efficient as compared to supercomputers while doing a particular task [28].”
BackgroundArtificial Intelligence and emerging digital technologies in the energy sector
Lyu, W., & Liu, J. (2021) · Applied Energy · doi:10.1016/j.apenergy.2021.117615 · Cited by 344
Using the internet of things in smart energy systems and networks
Ahmad, T., & Zhang, D. (2021) · Sustainable Cities and Society · doi:10.1016/j.scs.2021.102783 · Cited by 332
Deep Learning in Smart Grid Technology: A Review of Recent Advancements and Future Prospects
Massaoudi, M., Abu‐Rub, H., Refaat, S. S., Chihi, I., & Oueslati, F. S. (2021) · IEEE Access · doi:10.1109/access.2021.3071269 · Cited by 280
“QDL employs Big data to speed up the training and make the computation process more efficient [184].”
Method
Metadata
- Authors
- Ajagekar, A., & You, F.
- Affiliations
- Cornell University (US)
- Corresponding author
- You, Fengqi
- Venue
- Energy
- Publisher
- Elsevier BV
- Published
- 2019-07
- Volume
- 179
- Pages
- 76-89
- ISSN
- 0360-5442 (ISSN-L)
- OpenAlex
- W2942962312
- Cited by
- 289
- References
- 76
- Citations by year
- 2026: 40 · 2025: 68 · 2024: 64 · 2023: 37 · 2022: 34 · 2021: 26 · 2020: 16 · 2019: 4
- FWCI
- 9.23
- Type
- journal article
- Language
- en
- Open access
- green
- arxiv.org
- Locations
- Energy (publishedVersion)
- arXiv (Cornell University) (submittedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- arXiv (Cornell University)
- Funders
- Cornell University's
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Quantum Computing Algorithms and Architecture
- Physical Sciences › Physics and Astronomy › Atomic and Molecular Physics, and Optics › Quantum Information and Cryptography
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Electric Power System Optimization
- Keywords
- quantum computing, energy system optimization, quantum algorithms, facility location, unit commitment, heat exchanger network synthesis, quantum computing hardware, power systems
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