16 citations · 34 across the 7 of their papers we have counts for
7 papers
Quantum annealers as programmable thermal machines
Jakub Pawłowski, Tomasz Śmierzchalski, Fengping Jin +3
Programmable quantum annealers are used for optimization, probabilistic sampling, and simulation, but their performance is commonly reported without the energy exchanged during com…
Neural and Tensor Networks in the Study of Quantum Annealing Processors
Tomasz Śmierzchalski
Quantum annealing targets low-energy solutions of Ising/QUBO problems, but reliable assessment requires more than best-energy comparisons. This dissertation develops a benchmarking…
SpinGlassPEPS.jl: Tensor-network package for Ising-like optimization on quasi-two-dimensional graphs
Tomasz Śmierzchalski, Anna M. Dziubyna, Konrad Jałowiecki +4
This work introduces SpinGlassPEPSjl, a software package implemented in Julia, designed to find low-energy configurations of generalized Potts models, including Ising and QUBO p…
Limitations of tensor network approaches for optimization and sampling: A comparison to quantum and classical Ising machines
Anna Maria Dziubyna, Tomasz Śmierzchalski, Bartłomiej Gardas +2
Optimization problems pose challenges across various fields. In recent years, quantum annealers have emerged as a promising platform for tackling such challenges. To provide a new…
Hybrid quantum-classical computation for automatic guided vehicles scheduling
Tomasz Śmierzchalski, Jakub Pawłowski, Artur Przybysz +6
Motivated by recent efforts to develop quantum computing for practical, industrial-scale challenges, we demonstrate the effectiveness of state-of-the-art hybrid (not necessarily qu…
Efficiency Optimization in Quantum Computing: Balancing Thermodynamics and Computational Performance
Tomasz Śmierzchalski, Zakaria Mzaouali, Sebastian Deffner +1
We investigate the computational efficiency and thermodynamic cost of the D-Wave quantum annealer under reverse-annealing with and without pausing. Our experimental results demonst…
Post-Error Correction for Quantum Annealing Processor using Reinforcement Learning
Tomasz Śmierzchalski, Łukasz Pawela, Zbigniew Puchała +2
Finding the ground state of the Ising spin-glass is an important and challenging problem (NP-hard, in fact) in condensed matter physics. However, its applications spread far beyond…