Modular Quantum Architectures: It has been shown that
NISQ devices must reach scales of 1000+ qubits in order to be
practical. As quantum device manufactures attempt to cross that
threshold, scalability challenges have led many to leverage
modular architectures to achieve ever-larger devices. This new
development poses new challenges for quantum compilation and
algorithms to both adapt to and leverage such architectures.
Quantum Data Representations: Quantum computers can
encode information far more densely than classical devices, but
also face restrictions with normalization, unitary operations,
no-cloning, and sampling/measurement constraints. Thus, any
quantum data structure must balance the overheads of
encoding/decoding data with the performance benefits of quantum
operations.
Hybrid Quantum-Classical Algorithms: The classical and
quantum computing domains both excel at different things.
Quantum computing can provide speedup in many potential
algorithms, but classical computing is less error-prone, doesn't
necessitate sampling, and can store data long-term without
decoherence concerns. Thus, especially for near-term
applications, hybrid algorithms that leverage the advantageous
qualities of both the quantum and classical domains are an
enticing prospect.
Publications
Book Chapters
Esam El-Araby, Manu Chaudhary, Ishraq Ul Islam, David Levy,
Dylan Kneidel, Mingyoung Jeng, Alvir Nobel, and
Vinayak Jha. “Practical Applications of Quantum Computing”.
In: Quantum Computers - From Fundamentals to Technology. Ed.
by Dr. F. J. Duarte. Rijeka: IntechOpen, 2023. Chap. 0. doi:
10.5772/intechopen.1003033. url: https://doi.org/10.5772/intechopen.1003033.
Journal Publications
Mingyoung Jeng, Alvir Nobel, Vinayak Jha, David Levy,
Dylan Kneidel, Manu Chaudhary, Ishraq Islam, Muhammad Momin
Rahman, and Esam El-Araby. “Generalized Quantum Convolution
for Multidimensional Data”. In: Entropy 25.11 (2023). issn:
1099-4300. doi: 10.3390/e25111503. url: https://www.mdpi.com/1099-4300/25/11/1503.
Mingyoung Jeng, SM Ishraq Ul Islam, David Levy,
Andrew Riachi, Manu Chaudhary, Md. Alvir Islam Nobel, Dylan
Kneidel, Vinayak Jha, Jack Bauer, Anshul Maurya, Naveed
Mahmud, and Esam El-Araby. “Improving quantum-to-classical
data decoding using optimized quantum wavelet transform”.
In: The Journal of Supercomputing (June 2023). issn:
1573-0484. doi: 10.1007/s11227- 023- 05433- 7. url: https://doi.org/10.1007/s11227-023-05433-7.
Esam El-Araby, Naveed Mahmud, Mingyoung Jeng, Andrew
MacGillivray, Manu Chaudhary, Md. Alvir Islam Nobel, SM
Ishraq Ul Islam, David Levy, Dylan Kneidel, Madeline R.
Watson, Jack G. Bauer, and Andrew E. Riachi. “Towards
Complete and Scalable Emulation of Quantum Algorithms on
High-Performance Reconfigurable Computers”. In: IEEE
Transactions on Computers (Feb. 2023), pp. 1–14. doi:
10.1109/TC.2023.3248276.
Conference Proceedings
Mingyoung Jeng, Md. Alvir Islam Nobel, Vinayak Jha,
David Levy, Dylan Kneidel, Manu Chaudhary, SM Ishraq Ul
Islam, and Esam El-Araby. “Preserving Data Locality in
Multidimensional Variational Quantum Classification”. In:
The International Conference for High Performance Computing,
Networking, Storage, and Analysis (SC). Denver, Colorado,
USA, Nov. 2023. url: https://sc23.supercomputing.org/proceedings/tech_poster/tech_poster_pages/rpost120.html.
Mingyoung Jeng, Md. Alvir Islam Nobel, Vinayak Jha,
David Levy, Dylan Kneidel, Manu Chaudhary, SM Ishraq Ul
Islam, and Esam El-Araby. “Multidimensional Quantum
Convolution with Arbitrary Filtering and Unity Stride”. In:
IEEE International Conference on Quantum Computing and
Engineering (QCE23). Bellevue, Washington, USA, Sept. 2023.
Esam El-Araby, Mingyoung Jeng, Manu Chaudhary, Md.
Alvir Islam Nobel, SM Ishraq Ul Islam, David Levy, Dylan
Kneidel, and Vinayak Jha. “KU Advanced Reconfigurable and
Quantum (KUARQ) Computing and Communications”. In: 2023
Quantum Computing User Forum (QCUF). Oak Ridge, Tennessee,
USA, July 2023.
Naveed Mahmud, Mingyoung Jeng, Md. Alvir Islam Nobel,
Manu Chaudhary, S M Ishraq Ul Islam, David Levy, and Esam
El-Araby. “Efficient Data Encoding and Decoding for Quantum
Computing”. In: 2022 IEEE International Conference on
Quantum Computing and Engineering (QCE). Sept. 2022, pp.
765–768. doi: 10.1109/QCE53715.2022.00110
Naveed Mahmud, Mingyoung Jeng, Md. Alvir Nobel, Manu
Chaudhary, SM Ishraq-Ul Islam, David Levy, and Esam
El-Araby. “Time-Efficient Quantum-to-Classical Data
Decoding”. In: July 2022. url: https://par.nsf.gov/biblio/10334040