output
20182025
most citedDemonstration of multi-qubit entanglement and algorithms on a programmable neutral atom quantum computer

548 citations

Showing 2023Show all

13 papers · 1 filter

quant-ph2023★ 16 cited

Error-corrected Hadamard gate simulated at the circuit level

György P. Gehér, Campbell McLauchlan, Earl T. Campbell +2

We simulate the logical Hadamard gate in the surface code under a circuit-level noise model, compiling it to a physical circuit on square-grid connectivity hardware. Our paper is t…

cond-mat.mtrl-sci2023★ 275 cited

GPAW: An open Python package for electronic-structure calculations

Jens Jørgen Mortensen, Ask Hjorth Larsen, Mikael Kuisma +44

We review the GPAW open-source Python package for electronic structure calculations. GPAW is based on the projector-augmented wave method and can solve the self-consistent density…

quant-ph2023★ 33 cited

A real-time, scalable, fast and highly resource efficient decoder for a quantum computer

Ben Barber, Kenton M. Barnes, Tomasz Bialas +10

To unleash the potential of quantum computers, noise effects on qubits' performance must be carefully managed. The decoders responsible for diagnosing noise-induced computational e…

quant-ph2023★ 12 cited

Tangling schedules eases hardware connectivity requirements for quantum error correction

Gyorgy P. Geher, Ophelia Crawford, Earl T. Campbell

Quantum computers have the potential to change the way we solve computational problems. Due to the noisy nature of qubits, the need arises to correct physical errors occurring duri…

physics.chem-ph2023★ 3 cited

The Electronic Structure of the Hydrogen Molecule: A Tutorial Exercise in Classical and Quantum Computation

Vincent Graves, Christoph Sünderhauf, Nick S. Blunt +2

In this educational paper, we will discuss calculations on the hydrogen molecule both on classical and quantum computers. In the former case, we will discuss the calculation of mol…

quant-ph2023★ 14 cited

Neural network decoder for near-term surface-code experiments

Boris M. Varbanov, Marc Serra-Peralta, David Byfield +1

Neural-network decoders can achieve a lower logical error rate compared to conventional decoders, like minimum-weight perfect matching, when decoding the surface code. Furthermore,…