4 papers
DeQompile: quantum circuit decompilation using genetic programming for explainable quantum architecture search
Shubing Xie, Aritra Sarkar, Sebastian Feld
Demonstrating quantum advantage using conventional quantum algorithms remains challenging on current noisy gate-based quantum computers. Automated quantum circuit synthesis via qua…
CutQAS: Topology-aware quantum circuit cutting via reinforcement learning
Abhishek Sadhu, Aritra Sarkar, Akash Kundu
Simulating molecular systems on quantum processors has the potential to surpass classical methods in computational resource efficiency. The limited qubit connectivity, small proces…
Near-Term Spin-Qubit Architecture Design via Multipartite Maximally-Entangled States
Nikiforos Paraskevopoulos, Matthew Steinberg, Brennan Undseth +4
The design and benchmarking of quantum computer architectures traditionally rely on practical hardware restrictions, such as gate fidelities, control, and cooling. At the theoretic…
EO-GRAPE and EO-DRLPE: Open and Closed Loop Approaches for Energy Efficient Quantum Optimal Control
Sebastiaan Fauquenot, Aritra Sarkar, Sebastian Feld
This research investigates the possibility of using quantum optimal control techniques to co-optimize the energetic cost and the process fidelity of a quantum unitary gate. The ene…