Quantum computing is a game-changing technology for global academia, research centers
and industries including computational science, mathematics, finance, pharmaceutical …

TensorCircuit is an open source quantum circuit simulator based on tensor network
contraction, designed for speed, flexibility and code efficiency. Written purely in Python, and …

In the context of measurement-induced entanglement phase transitions, the influence of
quantum noises, which are inherent in real physical systems, is of great importance and …

In the era of noisy intermediate-scale quantum devices, the number of controllable hardware
qubits is insufficient to implement quantum error correction. As an alternative, quantum error …

Variational quantum algorithms (VQAs) hold great potential for near-term applications and
are promising to achieve quantum advantage in practical tasks. However, VQAs suffer from …

Current quantum computing hardware is restricted by the availability of only few, noisy
qubits which limits the investigation of larger, more complex molecules in quantum chemistry …

We introduce a general framework called neural-network-(NN) encoded variational quantum
algorithms (VQAs), or NNVQA for short, to address the challenges of implementing VQAs on …

The transformation of a molecular Hamiltonian from the fermionic space to the qubit space
results in a series of Pauli strings. Calculating the energy then involves evaluating the …

Variational quantum algorithms, as one of the most promising routes in the noisy
intermediate-scale quantum era, offer various potential applications while also confronting …

Ground-state preparation for a given Hamiltonian is a common quantum-computing task of
great importance and has relevant applications in quantum chemistry, computational …