Distribution network reconfiguration (DNR) is a combinatorial optimization problem that seeks a low-loss network topology subject to topological and electrical operating constraints. In this work, we propose a two-stage quantum-classical method for DNR. First, an iterative linear-ramp Quantum Alternating Operator Ansat...
Nowar Alashkar, C. Kennedy, Phillip C. Lotshaw et al.· 0 citations
In recent years, quantum computing has drawn significant interest within the field of high-energy physics. We explore the potential of quantum algorithms to resolve the combinatorial problems in particle physics experiments. As a concrete example, we consider top quark pair production in the fully hadronic channel at t...
Zhong-Tian Dong, Taejoon Kim, K. Kong et al.· Scientific Reports· 4 citations
The wing module is introduced, a self-contained few-qubit circuit that feeds additional information into the core circuit through a sparse, one-way coupling, and reframe scaling for quantum fine-tuning: added qubits help when they carry added inputs, not merely more parameters.
Sang Hyub Kim, Julien Baglio, R. Krishnakumar et al.· 0 citations
One of the strengths of our recently proposed Walking Cat Architecture for a trapped-ion quantum computer is that it is straightforward to extend and optimize for a specific application. As a proof-of-concept, here we present such optimizations for solving the $256$-bit elliptic curve discrete logarithm problem (ECDLP)...
Thomas Häner, Felix Tripier, Jacob Young et al.· 0 citations
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