The realization of controllable fermionic quantum systems via quantum simulation is
instrumental for exploring many of the most intriguing effects in condensed-matter physics …

The Hubbard model is an essential tool for understanding many-body physics in condensed
matter systems. Artificial lattices of dopants in silicon are a promising method for the analog …

Private distributed learning studies the problem of how multiple distributed entities
collaboratively train a shared deep network with their private data unrevealed. With the …

Atomically precise fabrication has an important role to play in developing atom‐based
electronic devices for use in quantum information processing, quantum materials research …

Scanning tunneling microscope lithography can be used to create nanoelectronic devices in
which dopant atoms are precisely positioned in a Si lattice within approximately 1 nm of a …

Motivated by recent advances in fabricating artificial lattices in semiconductors and their
promise for quantum simulation of topological materials, we study the one-dimensional …

Atomically precise donor-based quantum devices are a promising candidate for solid-state
quantum computing and analog quantum simulations. However, critical challenges in …

We set up and parametrize a Hubbard model for interacting quantum dots in bilayer
graphene and study double dots as the smallest multidot system. We demonstrate the …

We describe here a quantum simulator of extended bipartite Hubbard model with broken
sublattice symmetry. The simulator consists of a structured lateral gate confining two …

Exchange coupling is a key ingredient for spin-based quantum technologies since it can be
used to entangle spin qubits and create logical spin qubits. However, the influence of the …