Empowering deep neural quantum states through efficient optimization
Computing the ground state of interacting quantum matter is a long-standing challenge,
especially for complex two-dimensional systems. Recent developments have highlighted the …
especially for complex two-dimensional systems. Recent developments have highlighted the …
Broken-symmetry ground states of the heisenberg model on the pyrochlore lattice
The spin-1/2 Heisenberg model on the pyrochlore lattice is an iconic frustrated three-
dimensional spin system with a rich phase diagram. Besides hosting several ordered …
dimensional spin system with a rich phase diagram. Besides hosting several ordered …
Emergence of classical magnetic order from anderson towers: Quantum darwinism in action
Environment is assumed to play a negative role in quantum mechanics, destroying the
coherence in a quantum system and, thus, randomly changing its state. However, for a …
coherence in a quantum system and, thus, randomly changing its state. However, for a …
Thermalization and criticality on an analog-digital quantum simulator
Understanding how interacting particles approach thermal equilibrium is a major challenge
of quantum simulators. Unlocking the full potential of such systems toward this goal requires …
of quantum simulators. Unlocking the full potential of such systems toward this goal requires …
Time evolution of uniform sequential circuits
Simulating time evolution of generic quantum many-body systems using classical numerical
approaches has an exponentially growing cost either with evolution time or with the system …
approaches has an exponentially growing cost either with evolution time or with the system …
Learning ground states of gapped quantum Hamiltonians with Kernel Methods
Neural network approaches to approximate the ground state of quantum hamiltonians
require the numerical solution of a highly nonlinear optimization problem. We introduce a …
require the numerical solution of a highly nonlinear optimization problem. We introduce a …
Certification of quantum states with hidden structure of their bitstrings
The rapid development of quantum computing technologies already made it possible to
manipulate a collective state of several dozens of qubits, which poses a strong demand on …
manipulate a collective state of several dozens of qubits, which poses a strong demand on …
Stability of a quantum skyrmion: Projective measurements and the quantum Zeno effect
Magnetic skyrmions are vortexlike quasiparticles characterized by long lifetime and
remarkable topological properties. That makes them a promising candidate for the role of …
remarkable topological properties. That makes them a promising candidate for the role of …
Phenomenological theory of variational quantum ground-state preparation
The variational approach is a cornerstone of computational physics, considering both
conventional and quantum computing computational platforms. The variational quantum …
conventional and quantum computing computational platforms. The variational quantum …
Many-body quantum sign structures as non-glassy Ising models
The non-trivial phase structure of the eigenstates of many-body quantum systems severely
limits the applicability of quantum Monte Carlo, variational, and machine learning methods …
limits the applicability of quantum Monte Carlo, variational, and machine learning methods …