Deepesh Singh

PhD Researcher in Photonic Quantum Computation

About Me

Deepesh Singh presenting

As a third-year PhD candidate in the School of Mathematics and Physics at the University of Queensland, I am exploring the frontiers of Photonic quantum computation. Under the guidance of Dr. Austin Lund, Dr. Peter Rohde, and Prof. Timothy Ralph, my research navigates the intersections of linear optical quantum computing, computational complexity theory, representations of groups and algebras, and classical invariant theory. My work aims to bridge theoretical concepts with practical applications, pushing the boundaries of our understanding in quantum information processing. By leveraging interdisciplinary approaches, I strive to contribute innovative solutions to the challenges in developing scalable and efficient quantum computing systems.

Education

Latest Publications

Saturating the maximum success probability bound for noiseless linear amplification using linear optics (2024)
Joshua J. Guanzon, Matthew S. Winnel, Deepesh Singh, Austin P. Lund, Timothy C. Ralph
PRX Quantum Link

Achieved optimal performance in noiseless linear amplification using linear optical elements.

Deterministic Preparation of Optical Squeezed Cat and Gottesman-Kitaev-Preskill States (2024)
Matthew S. Winnel, Joshua J. Guanzon, Deepesh Singh, and Timothy C. Ralph
Physical Review Letters Link

Proposed a novel method for generating quantum states crucial for error correction in optical quantum computing.

Proof-of-work consensus by quantum sampling (2023)
Deepesh Singh, Boxiang Fu, Gopikrishnan Muraleedharan, Chen-Mou Cheng, Nicolas Roussy Newton, Peter P. Rohde, Gavin K. Brennen
arXiv:2305.19865

Introduced a quantum-inspired blockchain consensus mechanism that significantly reduces energy consumption.

Unitary averaging with fault and loss tolerance (2023)
Ryan J. Marshman, Deepesh Singh, Austin P. Lund, Timothy C. Ralph
Physical Review A

Developed a fault-tolerant method for quantum state preparation using unitary averaging techniques.

Optical cluster-state generation with unitary averaging (2022)
Deepesh Singh, Austin P. Lund, Peter P. Rohde
Physical Review A

Proposed a new method for generating large-scale quantum cluster states using unitary averaging.

QuNet: Cost vector analysis & multi-path entanglement routing in quantum networks (2021)
Hudson Leone, Nathaniel R. Miller, Deepesh Singh, Nathan K. Langford, Peter P. Rohde
arXiv:2105.00418v2

Developed an algorithm for optimizing entanglement distribution in quantum networks.

Recent Talks & Presentations

Invited talk on 'Proof-of-work consensus by quantum sampling'
QSI Seminar, Centre for Quantum Software and Information, University of Technology Sydney, Australia (June 21, 2024)
Poster on 'Proof-of-work consensus by quantum sampling'
Annual Centre for Quantum Computation and Communications Technology (CQC2T) workshop, Magenta Shores, Australia (June 13, 2024)
Invited talk on 'Quantum blockchains'
Quantum Systems Seminar, Cybersecurity and Quantum Systems, Data61, CSIRO, Australia (February 23, 2024)
Talk on 'Proof-of-work consensus by quantum sampling'
Quantum Information Processing (QIP) 2024 Conference, Taiwan (January 17, 2024)

Contact Information

Email: deepesh.singh@uq.edu.au

Profiles

arXiv | Google Scholar | LinkedIn | Twitter