The ITensor software library for tensor network calculations
ITensor is a system for programming tensor network calculations with an interface modeled
on tensor diagram notation, which allows users to focus on the connectivity of a tensor …
on tensor diagram notation, which allows users to focus on the connectivity of a tensor …
Beyond photon pairs—nonlinear quantum photonics in the high-gain regime: a tutorial
Integrated optical devices will play a central role in the future development of nonlinear
quantum photonics. Here we consider the generation of nonclassical states of light within …
quantum photonics. Here we consider the generation of nonclassical states of light within …
Pennylane: Automatic differentiation of hybrid quantum-classical computations
V Bergholm, J Izaac, M Schuld, C Gogolin… - ar** of
hybrid quantum-classical models for classical or quantum data. This framework offers high …
hybrid quantum-classical models for classical or quantum data. This framework offers high …
Recurrent neural network wave functions
A core technology that has emerged from the artificial intelligence revolution is the recurrent
neural network (RNN). Its unique sequence-based architecture provides a tractable …
neural network (RNN). Its unique sequence-based architecture provides a tractable …
[KSIĄŻKA][B] Quantum computing: an applied approach
JD Hidary, JD Hidary - 2019 - Springer
Our world, of course, changed in many other ways as well since the publication of the first
edition. The global pandemic impacted all areas of society and will probably transform how …
edition. The global pandemic impacted all areas of society and will probably transform how …
Tensorcircuit: a quantum software framework for the nisq era
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 …
contraction, designed for speed, flexibility and code efficiency. Written purely in Python, and …
[HTML][HTML] Qulacs: a fast and versatile quantum circuit simulator for research purpose
To explore the possibilities of a near-term intermediate-scale quantum algorithm and long-
term fault-tolerant quantum computing, a fast and versatile quantum circuit simulator is …
term fault-tolerant quantum computing, a fast and versatile quantum circuit simulator is …
Matrix product state pre-training for quantum machine learning
Hybrid quantum–classical algorithms are a promising candidate for develo** uses for
NISQ devices. In particular, parametrised quantum circuits (PQCs) paired with classical …
NISQ devices. In particular, parametrised quantum circuits (PQCs) paired with classical …
cuQuantum SDK: A high-performance library for accelerating quantum science
H Bayraktar, A Charara, D Clark… - 2023 IEEE …, 2023 - ieeexplore.ieee.org
We present the NVIDIA cuQuantum SDK [1], a state-of-the-art library of composable
primitives for GPU-accelerated quantum circuit simulations. As the size of quantum devices …
primitives for GPU-accelerated quantum circuit simulations. As the size of quantum devices …