- Quantum Computing
- State Preparation and Tomography
- Learning dynamic quantum circuits for efficient state preparation
- Constant-depth preparation of matrix product states with adaptive quantum circuits
- Classical Shadows for Quantum Process Tomography on Near-term Quantum
- Variational Quantum Eigensolvers
- Unitary Block Optimization for Variational Quantum Algorithms
- Classical postprocessing for the unitary block-optimization scheme to reduce the effect of noise on the optimization of variational quantum eigensolvers
- Pre-optimizing variational quantum eigensolvers with tensor networks
- (Other) Quantum Algorithms
- Quantum Hardware-Enabled Molecular Dynamics via Transfer Learning
- Quantum Circuits For Two-Dimensional Isometric Tensor Networks
- Nearly-frustration-free ground state preparation
- Solving strongly correlated electron models on a quantum computer
- Gate count estimates for performing quantum chemistry on small quantum computers
- Superconducting Qubits
- The Floquet Fluxonium Molecule: Driving Down Dephasing in Coupled Superconducting Qubits
- Readout-induced leakage of the fluxonium qubit
- Quantum - Classical Boundary
- Classical simulability of Clifford+T circuits with Clifford-augmented matrix product states
- Probabilistic simulation of quantum circuits using a deep-learning architecture
- Quantum Error Correction or Mitigatation
- Decoding quantum low density parity check codes with diffusion
- Unitary t-designs (i.e. scrambling)
- Approximate t-designs in generic circuit architectures
- Absence of censoring inequalities in random quantum circuits
- Apparent Universal Behavior in Second Moments of Random Quantum Circuits
- Conditional t-independent spectral gap for random quantum circuits and implications for t-design depths
- Other
- Transforming the Hybrid Cloud for Emerging AI Workloads
- Simulating Quantum Mechanics with a θ-term and an 't Hooft Anomaly on a Synthetic Dimension
- (1+1)-d U(1) Quantum link models from effective Hamiltonians of dipolar molecules
- Framework for Simulating Gauge Theories with Dipolar Spin Systems
- Machine Learning
- Neural Network Backflow
- Enhancing Neural Network Backflow
- Backflow Transformations via Neural Networks for Quantum Many-Body Wave-Functions
- A Unifying View of Fermionic Neural Network Quantum States: From Neural Network Backflow to Hidden Fermion Determinant States
- Neural network backflow for ab-initio solid calculations
- Efficient optimization of neural network backflow for ab-initio quantum chemistry
- Neural network backflow for ab-initio quantum chemistry
- (Other) Neural Quantum States
- Variational optimization in the AI era: Computational Graph States and Supervised Wave-function Optimization
- Simulating 2+1D Lattice Quantum Electrodynamics at Finite Density with Neural Flow Wavefunctions
- Gauge Equivariant Neural Networks for 2+1D U(1) Gauge Theory Simulations in Hamiltonian Formulation
- Learning ground states of quantum Hamiltonians with graph networks
- Spacetime Neural Network for High Dimensional Quantum Dynamics
- Gauge-invariant and anyonic-symmetric autoregressive neural network for quantum lattice models
- Quantum Dynamics by Solving Probabilistic Differential Equations via Autoregressive Networks
- Gauge equivariant neural networks for quantum lattice gauge theories
- Autoregressive Neural Network for Simulating Open Quantum Systems via a Probabilistic Formulation
- Machine Learning for experiment
- Employing CycleGANs to Generate Realistic STEM Images for Machine Learning
- Leveraging generative adversarial networks to create realistic scanning transmission electron microscopy images
- Deep Learning Enabled Strain Mapping of Single-Atom Defects in 2D Transition Metal Dichalcogenides with Sub-picometer Precision
- Protocol Discovery for the Quantum Control of Majoranas by Differential Programming and Natural Evolution Strategies
- FiND: Few-shot three-dimensional image-free confocal focusing on point-like emitters
- Algorithms for the quantum many body problem (not including Machine Learning)
- Inverse Methods
- A computational inverse method for constructing spaces of quantum models from wave functions
- Engineering Topological Models with a General-Purpose Symmetry-to-Hamiltonian Approach
- Constrained Curve Fitting
- Quantum Monte Carlo
- Finite-temperature properties of strongly correlated systems via variational Monte Carlo
- Mitigating the Sign Problem Through Basis Rotations
- Non-equilibrium Quantum Monte Carlo Algorithm for Stabilizer Renyi Entropy in Spin Systems
- The effect of quantization on the FCIQMC sign problem
- Partial node configuration-interaction Monte Carlo as applied to the Fermi polaron
- Computing the energy of a water molecule using MultiDeterminants: A simple, efficient algorithm
- Multideterminant Wave Functions in Quantum Monte Carlo
- Improved Scaling for Quantum Monte Carlo on Insulators
- QMCPACK : An open source ab initio Quantum Monte Carlo package for the electronic structure of atoms, molecules, and solids
- Hybrid algorithms in quantum Monte Carlo
- Tensor Networks
- Finite and Infinite Matrix Product States for Gutzwiller Projected Mean-Field Wavefunctions
- Distributed-Memory DMRG via Sparse and Dense Parallel Tensor Contractions
- Stochastically Projecting Tensor Networks
- Simulating Neutral Atom Quantum Systems with Tensor Network States
- Strongly Correlated Systems
- Frustrated Magnetism
- The mother of all states of the kagome quantum antiferromagnet
- Resonating quantum three-coloring wavefunctions for the kagome quantum antiferromagnet
- Numerical evidence for a chiral spin liquid in the XXZ antiferromagnetic Heisenberg model on the kagome lattice at m = 2/3 magnetization
- Classical phase diagram of the stuffed honeycomb lattice
- Deviation from the dipole-ice model in the new spinel spin-ice candidate, MgErSe4
- Striped spin liquid crystal ground state instability of kagome antiferromagnets
- Searching for Topological Degeneracy in the Hubbard Model with Quantum Monte Carlo
- Nature of the spin liquid state of the Hubbard model on honeycomb lattice
- Viewpoint: Closing in on the Kagome Magnet
- Other
- Variational identification of a fractional Chern insulator in an extended Bose-Hubbard model
- Topology and the one-dimensional Kondo-Heisenberg model
- The phase diagram of high-pressure superionic ice
- Hexatic and Mesoscopic phases in a 2D Quantum Coulomb System
- Path Integral Monte Carlo Simulation of the Warm-Dense Homogeneous Electron Gas
- Many Body Localization
- Encoding the structure of many-body localization with matrix product operators
- Finding matrix product state representations of highly-excited eigenstates of many-body localized Hamiltonians
- Eigenstates hybridize on all length scales at the many-body localization transition
- Characterizing the many-body localization transition through correlations
- Bimodal entanglement entropy distribution in the many-body localization transition
- Exploring one particle orbitals in large Many-Body Localized systems
- Numerical evidence for many-body localization in two and three dimensions
- Fixed points of Wegner-Wilson flows and many-body localization
- Entanglement Entropy Transitions with Random Tensor Networks
- Beyond many-body localized states in a spin-disordered Hubbard model with pseudo-spin symmetry
- Bulk Geometry of the Many Body Localized Phase from Wilson-Wegner Flow
- Many-body Localization Transition in Rokhsar-Kivelson-type wave functions
- Motif magnetism and quantum many-body scars
- Analysis of Many-body Localization Landscapes and Fock Space Morphology via Persistent Homology
- Quantifying Unitary Flow Efficiency and Entanglement for Many-Body Localization
- Quantum Dynamics
- Nonequilibrium dynamic critical scaling of the quantum Ising chain
- Non-equilibrium dynamics of Bosonic Mott insulators in an electric field
- Supersolids
- Off Diagonal Long Range Order in Solid He-4
- Legget's Bound for Amorphous Solids
- Path Integral Calculations of Vacancies in Solid Helium
- Computational Complexity
- The Complexity of Graph Pebbling