Code

23

Ready-to-run quantum circuit implementations to reproduce, cite, and build on.

qcr:2607.05133

/

Dropout in Quantum Neural Networks

Updated 3 months ago

qcr:2607.70275

/

Loading Classical Data with Low-Depth Circuits

State Preparation

Updated 3 months ago

qcr:2607.59083

/

Molecular Geometry Optimization with VQE

Updated 3 months ago

qcr:2607.19911

/

Gaussian Boson Sampling with PennyLane

Updated 3 months ago

qcr:2606.90800

/

Quantum Phase Estimation with PennyLane

Updated 3 months ago

qcr:2606.48636

/

QAOA for MaxCut with PennyLane

Updated 3 months ago

qcr:2606.26398

/

Quanvolutional Neural Networks

Updated 4 months ago

qcr:2606.69402

/

Variational Quantum Thermalizer

Quantum Simulation

Updated 4 months ago

qcr:2606.63141

/

Quantum Fourier Transform with PennyLane

Updated 4 months ago

qcr:2606.39573

/

Grover's Algorithm with PennyLane

Updated 4 months ago

Includes

Topics

Compilation

Benchmarking

Quantum Simulation

Chemistry

State Preparation

Sampling

QML

Cryptography

Linear Algebra

Optimization

QEC

QEM

Tools used

Qiskit

Cirq

PennyLane

PyQuil

Piquasso

Q#

Information units

Qubit

Qumode

Qudit

Computational models

Circuit-based

Measurement-based

Fusion-based

Pulse sequences

Quantum annealing

Adiabatic computation

Analog simulation

Hardware architectures

Superconducting qubits

Photonics

Trapped ions

Neutral atoms

Silicon spin qubits

Topological qubits

Spin defects