187 citations · 255 across the 10 of their papers we have counts for
10 papers
Programmable digital quantum simulation of 2D Fermi-Hubbard dynamics using 72 superconducting qubits
Faisal Alam, Jan Lukas Bosse, Ieva Čepaitė +41
Simulating the time-dynamics of quantum many-body systems was the original use of quantum computers proposed by Feynman, motivated by the critical role of quantum interactions betw…
Fermionic dynamics on a trapped-ion quantum computer beyond exact classical simulation
Faisal Alam, Jan Lukas Bosse, Ieva Čepaitė +37
Simulation of the time-dynamics of fermionic many-body systems has long been predicted to be one of the key applications of quantum computers. Such simulations -- for which classic…
Improving time dynamics simulation by sampling the error unitary
Lana Mineh, Adrian Chapman, Raul A. Santos
We introduce an algorithm to improve the error scaling of product formulas by randomly sampling the generator of their exact error unitary. Our approach takes an arbitrary product…
Applying the quantum approximate optimization algorithm to general constraint satisfaction problems
Sami Boulebnane, Maria Ciudad-Alañón, Lana Mineh +2
In this work we develop theoretical techniques for analysing the performance of the quantum approximate optimization algorithm (QAOA) when applied to random boolean constraint sati…
Benchmarking a wide range of optimisers for solving the Fermi-Hubbard model using the variational quantum eigensolver
Benjamin D. M. Jones, Lana Mineh, Ashley Montanaro
We numerically benchmark 30 optimisers on 372 instances of the variational quantum eigensolver for solving the Fermi-Hubbard system with the Hamiltonian variational ansatz. We rank…
Enhancing density functional theory using the variational quantum eigensolver
Evan Sheridan, Lana Mineh, Raul A. Santos +1
Quantum computers open up new avenues for modelling the physical properties of materials and molecules. Density Functional Theory (DFT) is the gold standard classical algorithm for…
Accelerating the variational quantum eigensolver using parallelism
Lana Mineh, Ashley Montanaro
Quantum computers are getting larger and larger, but device fidelities may not be able to keep up with the increase in qubit numbers. One way to make use of a large device that has…
Solving the Hubbard model using density matrix embedding theory and the variational quantum eigensolver
Lana Mineh, Ashley Montanaro
Calculating the ground state properties of a Hamiltonian can be mapped to the problem of finding the ground state of a smaller Hamiltonian through the use of embedding methods. The…
Strategies for solving the Fermi-Hubbard model on near-term quantum computers
Chris Cade, Lana Mineh, Ashley Montanaro +1
The Fermi-Hubbard model is of fundamental importance in condensed-matter physics, yet is extremely challenging to solve numerically. Finding the ground state of the Hubbard model u…
Designing quantum experiments with a genetic algorithm
Rosanna Nichols, Lana Mineh, Jesús Rubio +2
We introduce a genetic algorithm that designs quantum optics experiments for engineering quantum states with specific properties. Our algorithm is powerful and flexible, and can ea…