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8 papers · 2 filters
Computational Overhead of Locality Reduction in Binary Optimization Problems
Elisabetta Valiante, Maritza Hernandez, Amin Barzegar +1
Recently, there has been considerable interest in solving optimization problems by mapping these onto a binary representation, sparked mostly by the use of quantum annealing machin…
Expressive power of complex-valued restricted Boltzmann machines for solving non-stoquastic Hamiltonians
Chae-Yeun Park, Michael J. Kastoryano
Variational Monte Carlo with neural network quantum states has proven to be a promising avenue for evaluating the ground state energy of spin Hamiltonians. However, despite continu…
Efficient entanglement of spin qubits mediated by a hot mechanical oscillator
Emma Rosenfeld, Ralf Riedinger, Jan Gieseler +2
Localized electronic and nuclear spin qubits in the solid state constitute a promising platform for storage and manipulation of quantum information, even at room temperature. Howev…
Classical restrictions of generic matrix product states are quasi-locally Gibbsian
Yaiza Aragonés-Soria, Johan Åberg, Chae-Yeun Park +1
We show that the norm squared amplitudes with respect to a local orthonormal basis (the classical restriction) of finite quantum systems on one-dimensional lattices can be exponent…
Tailoring Term Truncations for Electronic Structure Calculations Using a Linear Combination of Unitaries
Richard Meister, Simon C. Benjamin, Earl T. Campbell
A highly anticipated use of quantum computers is the simulation of complex quantum systems including molecules and other many-body systems. One promising method involves directly a…
Avoiding local minima in variational quantum eigensolvers with the natural gradient optimizer
David Wierichs, Christian Gogolin, Michael Kastoryano
We compare the BFGS optimizer, ADAM and Natural Gradient Descent (NatGrad) in the context of Variational Quantum Eigensolvers (VQEs). We systematically analyze their performance on…