Quantum computing: a new paradigm for ecology
A global technology arms race is underway to build evermore powerful and precise quantum
computers. Quantum computers have the potential to tackle certain quantitative problems …
computers. Quantum computers have the potential to tackle certain quantitative problems …
Quantum-enhanced markov chain monte carlo
Quantum computers promise to solve certain computational problems much faster than
classical computers. However, current quantum processors are limited by their modest size …
classical computers. However, current quantum processors are limited by their modest size …
Quantum sampling algorithms for near-term devices
Efficient sampling from a classical Gibbs distribution is an important computational problem
with applications ranging from statistical physics over Monte Carlo and optimization …
with applications ranging from statistical physics over Monte Carlo and optimization …
Thermal multi-scale entanglement renormalization ansatz for variational gibbs state preparation
Many simulation tasks require that one first prepare a system's Gibbs state. We present a
family of quantum circuits for variational preparation of thermal Gibbs states on a quantum …
family of quantum circuits for variational preparation of thermal Gibbs states on a quantum …
Adaptive variational algorithms for quantum Gibbs state preparation
The preparation of Gibbs thermal states is an important task in quantum computation with
applications in quantum simulation, quantum optimization, and quantum machine learning …
applications in quantum simulation, quantum optimization, and quantum machine learning …
The Role of Initial Entanglement in Adaptive Gibbs State Preparation on Quantum Computers
SE Economou, A Warren… - ICASSP 2023-2023 IEEE …, 2023 - ieeexplore.ieee.org
Sampling from distributions is an important capability for a range of tasks in science and
engineering, including in machine learning applications. Quantum computers hold promise …
engineering, including in machine learning applications. Quantum computers hold promise …
Quantum sampling for the Euclidean path integral of lattice gauge theory
A Yamamoto - Physical Review D, 2022 - APS
Although the Hamiltonian formalism is, so far, favored for quantum computation of lattice
gauge theory, the path integral formalism would never be useless. The advantages of the …
gauge theory, the path integral formalism would never be useless. The advantages of the …
Optimal sampling of tensor networks targeting wave function's fast decaying tails
We introduce an optimal strategy to sample quantum outcomes of local measurement strings
for isometric tensor network states. Our method generates samples based on an exact …
for isometric tensor network states. Our method generates samples based on an exact …
Quantum Speedups for Approximating the John Ellipsoid
In 1948, Fritz John proposed a theorem stating that every convex body has a unique
maximal volume inscribed ellipsoid, known as the John ellipsoid. The John ellipsoid has …
maximal volume inscribed ellipsoid, known as the John ellipsoid. The John ellipsoid has …
Diabatic quantum and classical annealing of the Sherrington-Kirkpatrick model
A Rakcheev, AM Läuchli - Physical Review A, 2023 - APS
Quantum annealing is a contender to solve combinatorial optimization problems based on
quantum dynamics. While significant efforts have been undertaken to investigate the quality …
quantum dynamics. While significant efforts have been undertaken to investigate the quality …