9 citations · 11 across the 5 of their papers we have counts for
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Circuit Design Informed Adaptive Variational Quantum Algorithms
Muhammad Umer, Dimitris G. Angelakis
Resource-efficient computation is of central importance in the noisy intermediate-scale quantum (NISQ) era, where decoherence, gate errors, and restricted qubit connectivity severe…
Minimum Toffoli depth for the multi-controlled Toffoli gate via teleportation
Spyros Tserkis, Muhammad Umer, Eleftherios Mastorakis +1
The decomposition of complex quantum operations into experimentally feasible gate sets has been a central challenge since the early development of quantum computing. The multi-cont…
Depth optimization of CNOT ladder circuits
Spyros Tserkis, Muhammad Umer, Dimitris G. Angelakis
The increasing depth of quantum circuits presents a major limitation for the execution of quantum algorithms, as the limited coherence time of physical qubits leads to noise that m…
Resource-Efficient Hadamard Test Tailored Variational Framework for Nonlinear Dynamics on Quantum Computers
Eleftherios Mastorakis, Muhammad Umer, Milena Guevara-Bertsch +3
Resource-efficient, low-depth implementations of quantum circuits remain a promising strategy for achieving reliable and scalable computation on quantum hardware, as they reduce ga…
An Information-Minimal Geometry for Qubit-Efficient Optimization
Gordon Ma, Dimitris G. Angelakis
Qubit-efficient optimization studies how large combinatorial problems can be addressed with quantum circuits whose width is far smaller than the number of logical variables. In qua…
Resource-Efficient Hybrid Quantum-Classical Simulation Algorithm
Chong Hian Chee, Daniel Leykam, Adrian M. Mak +2
Digital quantum computers promise exponential speedups in performing quantum time-evolution, providing an opportunity to simulate quantum dynamics of complex systems in physics and…