Quantum Science and Technology

Papers
(The H4-Index of Quantum Science and Technology is 35. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-04-01 to 2024-04-01.)
ArticleCitations
Demonstration of quantum volume 64 on a superconducting quantum computing system236
OpenFermion: the electronic structure package for quantum computers211
t|ket⟩: a retargetable compiler for NISQ devices168
A quantum deep convolutional neural network for image recognition99
The bitter truth about gate-based quantum algorithms in the NISQ era97
Qiskit pulse: programming quantum computers through the cloud with pulses94
Establishing the quantum supremacy frontier with a 281 Pflop/s simulation85
Matter-wave Atomic Gradiometer Interferometric Sensor (MAGIS-100)81
Towards scalable bosonic quantum error correction75
Distributed quantum sensing74
Large gradients via correlation in random parameterized quantum circuits72
Searching for new physics using optically levitated sensors70
Mechanical quantum sensing in the search for dark matter68
Entangling the vibrational modes of two massive ferromagnetic spheres using cavity magnomechanics65
Applications of near-term photonic quantum computers: software and algorithms64
Quantum information processing with bosonic qubits in circuit QED64
Testing gravity with cold atom interferometry: results and prospects64
Training the quantum approximate optimization algorithm without access to a quantum processing unit63
Nuclear clocks for testing fundamental physics59
A quantum-classical cloud platform optimized for variational hybrid algorithms59
Polyatomic molecules as quantum sensors for fundamental physics55
Higher order derivatives of quantum neural networks with barren plateaus55
Filtering variational quantum algorithms for combinatorial optimization52
Intel Quantum Simulator: a cloud-ready high-performance simulator of quantum circuits51
Software tools for quantum control: improving quantum computer performance through noise and error suppression51
Using models to improve optimizers for variational quantum algorithms46
Quantum implementation of an artificial feed-forward neural network46
Qubit coupled cluster singles and doubles variational quantum eigensolver ansatz for electronic structure calculations45
Qibo: a framework for quantum simulation with hardware acceleration44
A state-averaged orbital-optimized hybrid quantum–classical algorithm for a democratic description of ground and excited states39
Achieving a quantum smart workforce37
Correlating AGP on a quantum computer37
Probing quantum processor performance with pyGSTi36
Building blocks of a flip-chip integrated superconducting quantum processor36
TEQUILA: a platform for rapid development of quantum algorithms35
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