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20242026
most citedTowards Arbitrary QUBO Optimization: Analysis of Classical and Quantum-Activated Feedforward Neural Networks

5 citations · 12 across the 14 of their papers we have counts for

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5 papers · 2 filters

quant-ph2024★ 2 cited

Ab-Initio Approach to Many-Body Quantum Spin Dynamics

Aditya Dubey, Zeki Zeybek, Fabian Köhler +2

A fundamental longstanding problem in studying spin models is the efficient and accurate numerical simulation of the long-time behavior of larger systems. The exponential growth of…

quant-ph2024★ 5 cited

Towards Arbitrary QUBO Optimization: Analysis of Classical and Quantum-Activated Feedforward Neural Networks

Chia-Tso Lai, Carsten Blank, Peter Schmelcher +1

Quadratic Unconstrained Binary Optimization (QUBO) sits at the heart of many industries and academic fields such as logistics, supply chain, finance, pharmaceutical science, chemis…

quant-ph2024

Solving The Travelling Salesman Problem Using A Single Qubit

Kapil Goswami, Gagan Anekonda Veereshi, Peter Schmelcher +1

The travelling salesman problem (TSP) is a popular NP-hard-combinatorial optimization problem that requires finding the optimal way for a salesman to travel through different citie…

quant-ph2024

Impact of dark states on the stationary properties of quantum particles with off-centered interactions in one dimension

G. Bougas, N. L. Harshman, P. Schmelcher

We present a generalization of the two-body contact interaction for non-relativistic particles trapped in one dimension. The particles interact only when they are a distance c apar…

quant-ph2024★ 2 cited

Integer Programming Using A Single Atom

Kapil Goswami, Peter Schmelcher, Rick Mukherjee

Integer programming (IP), as the name suggests is an integer-variable-based approach commonly used to formulate real-world optimization problems with constraints. Currently, quantu…