8 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…
Thermodynamic significance of QUBO encoding on quantum annealers
Emery Doucet, Zakaria Mzaouali, Reece Robertson +3
Quadratic unconstrained binary optimization (QUBO) is the standard interface to quantum annealers, yet a single constrained task admits many QUBO encodings whose penalty choices re…
Navigating the phase diagram of quantum many-body systems in phase space
Khadija El Hawary, Mohamed Azzouz, Morad El Baz +3
We demonstrate the unique capabilities of the Wigner function, particularly in its positive and negative parts, for exploring the phase diagram of the spin$-(\frac{1}{2\!}-\!\frac{…
Approaching the scaling limit of transport through lattices with dephasing
Subhajit Sarkar, Gabriela Wójtowicz, BartÅomiej Gardas +2
We examine the stationary--state equations for lattices with generalized Markovian dephasing and relaxation. When the Hamiltonian is quadratic, the single--particle correlation mat…
On the Baltimore Light RailLink into the quantum future
Krzysztof Domino, Emery Doucet, Reece Robertson +2
In the current era of noisy intermediate-scale quantum (NISQ) technology, quantum devices present new avenues for addressing complex, real-world challenges including potentially NP…
Limitations of tensor network approaches for optimization and sampling: A comparison to quantum and classical Ising machines
Anna Maria Dziubyna, Tomasz Åmierzchalski, BartÅomiej 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…