Blueqat
Build quantum circuits, run simulations, analyze results, and connect to hardware. Features include Hamiltonian manipulation, QAOA, and QASM export.
This is a Python SDK designed for quantum computing. It provides a flexible way to build quantum circuits using method chaining and slicing for applying gates to individual or multiple qubits.
Key features include:
- Flexible circuit creation without needing to specify qubit count initially.
- Support for standard gates, including rotation gates.
- Various circuit execution options, including state vector simulation, shot-based simulation, single amplitude calculation, and expectation value computation for Hamiltonians.
- Tools for representing and manipulating Hamiltonians using Pauli operators, including simplification and QUBO conversion.
- Implementations for algorithms like QAOA and tools for time evolution.
- Ability to export circuits to QASM.
- A circuit drawing backend for visualization.
- Cloud system connection capability (requires API key) to run circuits on hardware.
The SDK aims to make quantum programming accessible while providing powerful tools for simulation and algorithm development.
Categories:
Quantum Country
ZX-calculus
Unitary Foundation
IQM Pulla
QrispSimilar to Blueqat:
Rigetti's Quil via Python
High-level Quantum ProgrammingHybrid computing+1 more
A Python library for quantum programming using Quil.
Achieve fault tolerance faster and smarter
Hardware EngineeringQuantum Circuits+1 more
Design, simulate, and optimize fault-tolerant quantum computer architectures. Model over 20 hardware imperfections to accelerate logical qubit experiments.
QIR specification defining how to represent quantum programs within the LLVM IR
Intermediate RepresentationQIR+1 more
QIR specification defining how to represent quantum programs within the LLVM IR
Build and run quantum workloads with the leading open-source SDK.
CompilersQuantum Circuits+1 more
Build, refine, and execute quantum workloads at scale. This open-source toolkit is the highest-performing SDK for building and transpiling circuits, offering simplified workflows and powerful tools.
High-level language for scalable quantum algorithm development
High-level Quantum ProgrammingQuantum Circuits
Develop quantum algorithms with a high-level language. Features typed variables, automatic uncomputation, modularity, integrated arithmetic, and broad hardware compatibility.
Develop quantum algorithms with Q#, tools, and learning.
High-level Quantum ProgrammingQuantum Circuits
Develop quantum algorithms using the Q# language, comprehensive tooling, and learning resources like Quantum Katas. Includes a resource estimator and integrates with Azure Quantum.
Program quantum pulse sequences in Python.
Pulse-level controlQuantum Circuits
Define precise quantum pulse sequences with a Python DSL. Manage qubit and instrument configurations. Includes examples for single and two-qubit experiments.
Build, simulate, and run quantum circuits in your browser.
Quantum CircuitsSimulators
Design, simulate, and execute quantum circuits directly in your web browser. Supports synthesis, transpilation, hybrid algorithms, and multiple hardware platforms.
Achieve provably optimal quantum circuit synthesis.
OptimizationQuantum Circuits
Perform provably optimal quantum circuit synthesis using discrete optimization in Julia. Minimize gate counts for efficient, hardware-aware decompositions.