How hard is it to model LK99 on a quantum computer?

Quantum computational supremacy

Fermionic dynamics on a trapped-ion quantum computer beyond exact classical simulation

Programmable digital quantum simulation of 2D Fermi-Hubbard dynamics using 72 superconducting qubits

Improving time dynamics simulation by sampling the error unitary

Quantum-Enhanced Optimization by Warm Starts

Robust Lindbladian Estimation for Quantum Dynamics

Challenges and Advances in the Simulation of Targeted Covalent Inhibitors Using Quantum Computing

Fermionic Averaged Circuit Eigenvalue Sampling

THRIFT - A pioneering algorithm to improve quantum simulation efficiency

Extracting the spin excitation spectrum of a fermionic system using a quantum processor

Quantum-enhanced belief propagation for LDPC decoding

Applying the quantum approximate optimization algorithm to general constraint satisfaction problems

Benchmarking a wide range of optimisers for solving the Fermi-Hubbard model using the variational quantum eigensolver

Quantum speedups in solving near-symmetric optimization problems by low-depth QAOA

Quantum Phase Estimation without Controlled Unitaries

Approximating dynamical correlation functions with constant depth quantum circuits

Unveiling quantum phase transitions from traps in variational quantum algorithms

Efficient and practical Hamiltonian simulation from time-dependent product formulas

Enhancing density functional theory using the variational quantum eigensolver

Quantum Error Transmutation

Accelerating variational quantum Monte Carlo using the variational quantum eigensolver

Dissipative ground state preparation and the dissipative quantum eigensolver

Sketching phase diagrams using low-depth variational quantum algorithms

Towards near-term quantum simulation of materials

Stasja's view on our recent work - Observing ground-state properties of the Fermi-Hubbard model using a scalable algorithm on a quantum computer

Optimizing fermionic encodings for both Hamiltonian and hardware

Accelerating the variational quantum eigensolver using parallelism

Back to research Solving boolean satisfiability problems with the quantum approximate optimization algorithm

Peptide conformational sampling using the Quantum Approximate Optimization Algorithm

Research paper: Predicting parameters for the Quantum Approximate Optimization Algorithm for MAX-CUT from the infinite-size limit

Research paper: Probing ground state properties of the kagome antiferromagnetic Heisenberg model using the Variational Quantum Eigensolver

Research paper: Error mitigation by training with fermionic linear optics

Research paper: Compressed variational quantum eigensolver for the Fermi-Hubbard model

Strategies for solving the Fermi-Hubbard model on near-term quantum computers

Materials discovery: quantum computing and deep learning, complementary technologies

Research paper: Mitigating Errors in Local Fermionic Encodings

Research paper: Low Weight Fermionic Encodings for Lattice Models

Research paper: Hamiltonian Simulation Algorithms for Near-Term Quantum Hardware

Research paper: Strategies for solving the Fermi-Hubbard model on near-term quantum computers