Project contains a provider that allows accessing the IBM Quantum systems and simulators.
+This project contains a provider that allows accessing the IBM Quantum systems and simulators.
Project contains a provider that allows access to IonQ ion trap quantum systems.
+This project contains a provider that allows access to IonQ ion trap quantum systems.
Rigetti Provider for Qiskit
+Rigetti Provider for Qiskit.
This repository contains the latest prototype implementation of the Qiskit Nature + PySCF DFT Embedding. It is based on the following publication: > Max Rossmannek, Panagiotis Kl. Barkoutsos, Pauline J. Ollitrault, Ivano Tavernelli; > Quantum HF/DFT-embedding algorithms for electronic structure calculations: Scaling up to complex molecular systems. > J. Chem. Phys. 21 March 2021; 154 (11): 114105.
+This repository contains the latest prototype implementation of the Qiskit Nature + PySCF DFT Embedding. It is based on "Quantum HF/DFT-embedding algorithms for electronic structure calculations: Scaling up to complex molecular systems" (J. Chem. Phys. 154, 114105)
The Variational Quantum Linear Solver (VQLS) uses an optimization approach to solve linear systems of equations. The vqls-prototype allows to easily setup and deploy a VQLS instance on different backends through the use of qiskit primitives and the runtime library
+The Variational Quantum Linear Solver (VQLS) uses an optimization approach to solve linear systems of equations. The vqls-prototype allows to easily setup and deploy a VQLS instance on different backends through the use of qiskit primitives and the runtime library.
Mitiq is a Python toolkit for implementing error mitigation techniques on quantum computers
+Mitiq is a Python toolkit for implementing error mitigation techniques on quantum computers.
The PennyLane-Qiskit plugin integrates the Qiskit quantum computing framework with PennyLane's quantum machine learning capabilities
+The PennyLane-Qiskit plugin integrates the Qiskit quantum computing framework with PennyLane's quantum machine learning capabilities.
Q-CTRL Open Controls is an open-source Python package that makes it easy to create and deploy established error-robust quantum control protocols from the open literature
+Q-CTRL Open Controls is an open-source Python package that makes it easy to create and deploy established error-robust quantum control protocols from the open literature.
Qiskit Topological Codes
+Qiskit Topological Codes.
platform allows to execute quantum algorithms using the cQASM language.
+This platform allows you to execute quantum algorithms using the cQASM language.
Matrix-free Measurement Mitigation (M3)
+Matrix-free Measurement Mitigation (M3).
quantumcat is a platform-independent, open-source, high-level quantum computing library, which allows the quantum community to focus on developing platform-independent quantum applications without much effort
+quantumcat is a platform-independent, open-source, high-level quantum computing library, which allows the quantum community to focus on developing platform-independent quantum applications without much effort.
- Spinoza is a quantum state simulator (implemented in Rust) that is one of the fastest open-source simulators. Spinoza is implemented using a functional approach. Additionally, Spinoza has a `QuantumCircuit` object-oriented interface, which partially matches Qiskit's interface. Spinoza is capable of running in a myriad of computing environments (e.g., small workstations), and on various architectur...es. At this juncture, Spinoza only utilizes a single thread; however, it is designed to be easily extended into a parallel version, as well as a distributed version. The paper associated with Spinoza is available [here](https://arxiv.org/pdf/2303.01493.pdf). + Spinoza is a quantum state simulator (implemented in Rust) that is one of the fastest open-source simulators. Spinoza is implemented using a functional approach. Additionally, Spinoza has a QuantumCircuit object-oriented interface, which partially matches Qiskit's interface. Spinoza is capable of running in a myriad of computing environments (e.g., small workstations), and on various architectures.... At this juncture, Spinoza only utilizes a single thread; however, it is designed to be easily extended into a parallel version, as well as a distributed version. The paper associated with Spinoza is available at arXiv:2303.01493.
@@ -2130,7 +2130,7 @@Python package uses a backend written in Julia to implement high performance features for standard Qiskit.
+A Python package that uses a backend written in Julia to implement high performance features for standard Qiskit.
Visualise the effects of Single Qubit Gates on a Qubit via Bloch Sphere Simulation in a Tkinter Software.
+Visualise the effects of single-qubit gates on a qubit via Bloch sphere simulation in a Tkinter software.
A Python-Qiskit-based package that provides capabilities of easily generating, executing and analyzing quantum circuits for satisfiability problems according to user-defined constraints. The circuits being generated by the program are based on Grover's algorithm and its amplitude-amplification generalization.
+A Python-Qiskit-based package that provides capabilities of easily generating, executing and analyzing quantum circuits for satisfiability problems according to user-defined constraints. The circuits generated by the program are based on Grover's algorithm and its amplitude-amplification generalization.
Distributed quantum computing is a concept that proposes to connect multiple quantum computers in a network to leverage a collection of more, but physically separated, qubits. In order to perform distributed quantum computing, it is necessary to add the addition of classical communication and entanglement distribution so that the control information from one qubit can be applied to another that is... located on another quantum computer. For more details on distributed quantum computing, see this blog post: [Distributed Quantum Computing: A path to large scale quantum computing](https://medium.com/@stephen.diadamo/distributed-quantum-computing-1c5d38a34c50) In this project, we aim to validate distributed quantum algorithms using Qiskit. Because Qiskit does not yet come with networking features, we embed a "virtual network topology" into large circuits to mimic distributed quantum computing. The idea is to take a monolithic quantum circuit developed in the Qiskit language and distribute the circuit according to an artificially segmented version of a quantum processor. The inputs to the library are a quantum algorithm written monolithically (i.e., in a single circuit) and a topology parameter that represents the artificial segmentation of the single quantum processor. The algorithm takes these two inputs and remaps the Qiskit circuit to the specified segmentation, adding all necessary steps to perform an equivalent distributed quantum circuit. Our algorithm for achieving this is based on the work: [Distributed Quantum Computing and Network Control for Accelerated VQE](https://ieeexplore.ieee.org/document/9351762). The algorithm output is another Qiskit circuit with the equivalent measurement statistics but with all of the additional logic needed to perform a distributed version. + > located on another quantum computer. For more details on distributed quantum computing, see the Medium blog post "Distributed Quantum Computing: A path to large scale quantum computing". In this project, we aim to validate distributed quantum algorithms using Qiskit. Because Qiskit does not yet come with networking features, we embed a "virtual network topology" into large circuits to mimic distributed quantum computing. The idea is to take a monolithic quantum circuit developed in the Qiskit language and distribute the circuit according to an artificially segmented version of a quantum processor. The inputs to the library are a quantum algorithm written monolithically (i.e., in a single circuit) and a topology parameter that represents the artificial segmentation of the single quantum processor. The algorithm takes these two inputs and remaps the Qiskit circuit to the specified segmentation, adding all necessary steps to perform an equivalent distributed quantum circuit. Our algorithm for achieving this is based on the work "Distributed Quantum Computing and Network Control for Accelerated VQE" (doi: 10.1109/TQE.2021.3057908). The algorithm output is another Qiskit circuit with the equivalent measurement statistics but with all of the additional logic needed to perform a distributed version.
@@ -2443,7 +2443,7 @@Code base on the paper Kernel Matrix Completion for Offline Quantum-Enhanced Machine Learning [2112.08449](https://arxiv.org/abs/2112.08449).
+Code based on the paper "Kernel Matrix Completion for Offline Quantum-Enhanced Machine Learning" (arXiv:2112.08449).
Convert quantum circuits, matrices, and bra-ket strings. This converter includes the following conversion functions: quantum circuit to bra-ket notation, quantum circuit to matrix, matrix to quantum circuit, bra-ket notation to matrix
+Convert quantum circuits, matrices, and bra-ket strings. This converter includes the following conversion functions: quantum circuit to bra-ket notation, quantum circuit to matrix, matrix to quantum circuit, bra-ket notation to matrix.
Qiskit-classroom is a toolkit that helps implement quantum algorithms by converting and visualizing different expressions used in the Qiskit ecosystem using Qiskit-classroom-converter. The following three transformations are supported : Quantum Circuit to Dirac notation, Quantum Circuit to Matrix, Matrix to Quantum Circuit etc...
+Qiskit-classroom is a toolkit that helps implement quantum algorithms by converting and visualizing different expressions used in the Qiskit ecosystem using Qiskit-classroom-converter. The following three transformations are supported : Quantum circuit to Dirac notation, quantum circuit to matrix, matrix to quantum circuit etc.