10 papers
Connectivity determines the capability of sparse neural network quantum states
Brandon Barton, Juan Carrasquilla, Christopher Roth +1
The Lottery Ticket Hypothesis (LTH) posits that within overparametrized neural networks, there exist sparse subnetworks that are capable of matching the performance of the original…
Beyond-classical computation in quantum simulation
Andrew D. King, Alberto Nocera, Marek M. Rams +60
Quantum computers hold the promise of solving certain problems that lie beyond the reach of conventional computers. However, establishing this capability, especially for impactful…
The statistical mechanics and machine learning of the -Rényi ensemble
Andrew Jreissaty, Juan Carrasquilla
We study the statistical physics of the classical Ising model in the so-called -Rényi ensemble, a finite-temperature thermal state approximation that minimizes a modified free…
Modern applications of machine learning in quantum sciences
Anna Dawid, Julian Arnold, Borja Requena +26
In this book, we provide a comprehensive introduction to the most recent advances in the application of machine learning methods in quantum sciences. We cover the use of deep learn…
Geodesic Algorithm for Unitary Gate Design with Time-Independent Hamiltonians
Dylan Lewis, Roeland Wiersema, Juan Carrasquilla +1
Larger multi-qubit quantum gates allow shallower, more efficient quantum circuits, which could decrease the prohibitive effect of noise on algorithms for noisy intermediate-scale q…
Observation of a non-Hermitian supersonic mode on a trapped-ion quantum computer
Yuxuan Zhang, Juan Carrasquilla, Yong Baek Kim
Quantum computers have long been anticipated to excel in simulating quantum many-body physics. While most previous work has focused on Hermitian physics, we demonstrate the power o…