A library for supervised machine learning based on quantum computing and Riemannian geometry. The project is built on top of the Qiskit and pyRiemann projects and focuses on the classification of time series data.
+Qiskit Nature PySCF is a third-party integration plugin of Qiskit Nature and PySCF.
Qiskit Nature PySCF is a third-party integration plugin of Qiskit Nature and PySCF.
+A library for supervised machine learning based on quantum computing and Riemannian geometry. The project is built on top of the Qiskit and pyRiemann projects and focuses on the classification of time series data.
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 being generated by the program are based on Grover's algorithm and its amplitude-amplification generalization.
+Project is aimed to create simple general interface to track quantum experiments, store and search them in an easy way.
- 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. -
- - -Project is aimed to create simple general interface to track quantum experiments, store and search them in an easy way.
+Qiskit transpiler routing method using the Time-Optimal Qubit Mapping (TOQM) algorithm, described in https://doi.org/10.1145/3445814.3446706
Qiskit transpiler routing method using the Time-Optimal Qubit Mapping (TOQM) algorithm, described in https://doi.org/10.1145/3445814.3446706
+ ++ 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. +
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