8 papers
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…
Quantifying Quantum Computational Advantage on a Processor of Ultracold Atoms
Yong-Guang Zheng, Ying-Chao Shen, Wei-Yong Zhang +15
Nonequilibrium dynamics of quantum many-body systems is challenging for classical computing, providing opportunities for demonstrating practical quantum computational advantage wit…
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…