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Found 7 papers, 4 papers with code
Adaptive pruning-based optimization of parameterized quantum circuits
We demonstrate PECT for the Variational Quantum Eigensolver, in which we benchmark unitary coupled-cluster ansatze including UCCSD and k-UpCCGSD, as well as the low-depth circuit ansatz (LDCA), to estimate ground state energies of molecular systems.
Quantum Physics
Noise robustness and experimental demonstration of a quantum generative adversarial network for continuous distributions
In this paper, we employ a hybrid architecture for quantum generative adversarial networks (QGANs) and study their robustness in the presence of noise.
Variational quantum generators: Generative adversarial quantum machine learning for continuous distributions
We show that our quantum generator is able to learn target probability distributions using either a classical neural network or a variational quantum circuit as the discriminator.
Quantum Physics
Quantum Chemistry in the Age of Quantum Computing
Practical challenges in simulating quantum systems on classical computers have been widely recognized in the quantum physics and quantum chemistry communities over the past century.
Quantum Physics
A framework for algorithm deployment on cloud-based quantum computers
In recent years, the field of quantum computing has significantly developed in both the improvement of hardware as well as the assembly of various software tools and platforms, including cloud access to quantum devices.
Quantum Physics
QVECTOR: an algorithm for device-tailored quantum error correction
Current approaches to fault-tolerant quantum computation will not enable useful quantum computation on near-term devices of 50 to 100 qubits.
Quantum Physics
Quantum autoencoders for efficient compression of quantum data
The quantum autoencoder is trained to compress a particular dataset of quantum states, where a classical compression algorithm cannot be employed.
Quantum Physics
