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Quantum-enhanced greedy combinatorial optimization solver
Combinatorial optimization is a broadly attractive area for potential quantum advantage, but
no quantum algorithm has yet made the leap. Noise in quantum hardware remains a …
no quantum algorithm has yet made the leap. Noise in quantum hardware remains a …
Assessing and advancing the potential of quantum computing: A NASA case study
Quantum computing is one of the most enticing computational paradigms with the potential
to revolutionize diverse areas of future-generation computational systems. While quantum …
to revolutionize diverse areas of future-generation computational systems. While quantum …
Improving quantum approximate optimization by noise-directed adaptive remap**
FB Maciejewski, J Biamonte, S Hadfield… - ar** (NDAR), a heuristic algorithm for
approximately solving binary optimization problems by leveraging certain types of noise. We …
approximately solving binary optimization problems by leveraging certain types of noise. We …
X-ResQ: Reverse annealing for quantum MIMO detection with flexible parallelism
Quantum Annealing (QA)-accelerated MIMO detection is an emerging research approach in
the context of NextG wireless networks. The opportunity is to enable large MIMO systems …
the context of NextG wireless networks. The opportunity is to enable large MIMO systems …
Iterative quantum algorithms for maximum independent set: a tale of low-depth quantum algorithms
Quantum algorithms have been widely studied in the context of combinatorial optimization
problems. While this endeavor can often analytically and practically achieve quadratic …
problems. While this endeavor can often analytically and practically achieve quadratic …
Local algorithms and the failure of log-depth quantum advantage on sparse random CSPs
We construct and analyze a message-passing algorithm for random constraint satisfaction
problems (CSPs) at large clause density, generalizing work of El Alaoui, Montanari, and …
problems (CSPs) at large clause density, generalizing work of El Alaoui, Montanari, and …
Equilibrium dynamics of infinite-range quantum spin glasses in a field
We determine the low-energy spectrum and Parisi replica-symmetry-breaking function for
the spin-glass phase of the quantum Ising model with infinite-range random exchange …
the spin-glass phase of the quantum Ising model with infinite-range random exchange …
Iterative quantum algorithms for maximum independent set
Quantum algorithms have been widely studied in the context of combinatorial optimization
problems. While this endeavor can often analytically and practically achieve quadratic …
problems. While this endeavor can often analytically and practically achieve quadratic …
Quantum spin glasses and Sachdev-Ye-Kitaev models
S Sachdev - arxiv preprint arxiv:2402.17824, 2024 - arxiv.org
A brief survey of some random quantum models with infinite-range couplings is presented,
ranging from the quantum Ising model to the Sachdev-Ye-Kitaev model. The Sachdev-Ye …
ranging from the quantum Ising model to the Sachdev-Ye-Kitaev model. The Sachdev-Ye …
Utilizing modern computer architectures to solve mathematical optimization problems: A survey
Numerical algorithms to solve mathematical optimization problems efficiently are essential to
applications in many areas of engineering and computational science. To solve optimization …
applications in many areas of engineering and computational science. To solve optimization …