What does microsoft/quantum do?

Quantum is a quantum development framework that provides a hybrid quantum-classical workflow for coordinating execution between classical host languages and quantum processors. It includes a quantum hardware simulator for modeling state evolution and a library of quantum algorithms for tasks such as integer factorization, database search, and quantum arithmetic.

What are the main features of microsoft/quantum?

The main features of microsoft/quantum are: Hybrid Quantum-Classical Execution, Quantum Error Correction, Hybrid Quantum-Classical Computing, Quantum Algorithm Implementation, Quantum Circuit Execution, Quantum Simulators, Quantum-Enhanced Training, Quantum Machine Learning Algorithms.

What are some open-source alternatives to microsoft/quantum?

Open-source alternatives to microsoft/quantum include: qiskit/qiskit — Qiskit is a quantum computing software development kit used for designing, simulating, and executing quantum circuits… quantumlib/cirq — Cirq is a Python quantum computing framework used for designing, simulating, and executing quantum circuits on Noisy… quipnetwork/xq-py — xq-py is a numerical quantum computing library and software emulator used to execute quantum algorithms. It functions… nvidia/isaac-gr00t. ruvnet/ruvector — ruvector is a Rust-based vector store and graph database designed for local inference and nearest neighbor searches.… dusty-nv/jetson-inference — jetson-inference is a set of libraries and tools for executing optimized deep learning models on embedded GPU…

Quantum | Awesome Repos

Features

Hybrid Quantum-Classical Execution - Coordinates computational tasks between classical processors and quantum hardware using a host-language integration layer.
Quantum Error Correction - Implements error-correcting codes to protect quantum information from noise and decoherence.
Hybrid Quantum-Classical Computing - Integrates classical programming languages with quantum logic to coordinate workloads across different processors.
Quantum Algorithm Implementation - Provides libraries for creating and testing quantum procedures for tasks like database searching and integer factorization.
Quantum Circuit Execution - Enables running quantum circuits on physical hardware or simulators to validate logical operations.
Quantum Simulators - Provides a hardware simulator for modeling quantum states and gate operations on classical hardware.
Quantum-Enhanced Training - Implements a framework for building and training sequential models using quantum-enhanced datasets.
Quantum Machine Learning Algorithms - Provides frameworks for building and training sequential models using quantum-enhanced data processing.
Arithmetic Operations - Provides capabilities to perform coherent arithmetic operations within a quantum state.
Quantum Logic Integrations - Allows the execution of quantum logic and computations within Python scripts or notebooks.
Hardware-Targeted Remote Execution - Provides a mechanism to send computations to remote quantum hardware via terminals or IDEs.
Remote Compute Job Submission - Provides a mechanism to transmit quantum instruction sets to cloud-based hardware or simulators via CLI.
Quantum Resource Estimation - Calculates the hardware requirements and physical resources needed to run specific quantum algorithms.
System Characterization - Provides analytical tools to determine the physical properties of quantum hardware components using classical data.
Quantum Hardware Characterizations - Analyzes classical data to determine physical properties of quantum components and implements noise management.
Time-Evolution Modeling - Models the temporal dynamics and state evolution of quantum systems under physical constraints.
Quantum Chemistry Simulations - Simulates molecular interactions and chemical systems by modeling state evolution and physical constraints.
Quantum Hardware Characterizations - Analyzes classical output data to determine the operational properties and noise profiles of quantum hardware.
Resource Estimation Utilities - Calculates the required qubit count and gate depth needed to execute algorithms on physical devices.
Quantum Resource Estimations - Calculates the required qubit count and gate depth needed to execute specific algorithms on physical devices.

Open-source alternatives to Quantum

Similar open-source projects, ranked by how many features they share with Quantum.

qiskit/qiskit
Qiskit/qiskit
7,522View on GitHub
Qiskit is a quantum computing software development kit used for designing, simulating, and executing quantum circuits on physical hardware and simulators. It functions as a quantum algorithm framework, a circuit simulator, and a vendor-agnostic hardware interface for dispatching workloads across diverse providers. The project features a quantum circuit transpiler that optimizes abstract designs to match the specific basis gates and qubit connectivity of target hardware. It employs a pass-based transpilation pipeline and symbolic instruction translation to convert high-level circuits into hard
Pythonpythonqiskitquantum
View on GitHub7,522
quantumlib/cirq
quantumlib/Cirq
4,990View on GitHub
Cirq is a Python quantum computing framework used for designing, simulating, and executing quantum circuits on Noisy Intermediate-Scale Quantum (NISQ) hardware. It serves as a quantum circuit simulator and noise modeler, as well as a tool for the implementation of quantum algorithms. The framework provides a specialized interface for NISQ hardware, allowing users to map logical quantum circuits to physical device topologies while validating hardware connectivity and gate constraints. It distinguishes itself through integrated noise modeling, applying depolarizing and damping channels to mimic
Pythonalgorithmsapicirq
View on GitHub4,990
quipnetwork/xq-py
QuipNetwork/xq-py
5,546View on GitHub
xq-py is a numerical quantum computing library and software emulator used to execute quantum algorithms. It functions as a quantum virtual machine that simulates quantum circuits and state vectors through the use of linear algebra and complex number arrays. The project provides a virtual environment for developing and verifying quantum logic. It models multi-qubit systems by utilizing tensor-product expansion and unitary gate applications to simulate quantum state vectors and calculate probabilistic state collapse. The simulation is supported by a numerical backend that handles the matrix-ba
View on GitHub5,546
nvidia/isaac-gr00t
NVIDIA/Isaac-GR00T
6,222View on GitHub
Jupyter Notebook
View on GitHub6,222

See all 27 alternatives to Quantum

Quantum | Awesome Repos

microsoftQuantumArchived

Quantum

Features

Open-source alternatives to Quantum

Qiskit/qiskit

quantumlib/Cirq

QuipNetwork/xq-py

NVIDIA/Isaac-GR00T

Frequently asked questions

Star history

Open-source alternatives to Quantum

Qiskit/qiskit

quantumlib/Cirq

QuipNetwork/xq-py

NVIDIA/Isaac-GR00T

Frequently asked questions