100 Best Quantum Computing Apps: Platforms, SDKs, and Tools for Builders
Quantum computing tools vary widely, from cloud hardware access to circuit design, simulation, optimization, and error-mitigation software.
IBM Quantum Platform
IBM Quantum Platform provides cloud access to IBM quantum processors, simulators, learning resources, and development tools. It helps developers test quantum circuits without purchasing, operating, or maintaining specialized quantum hardware.
Qiskit
Qiskit is an open-source Python toolkit for creating, optimizing, simulating, and executing quantum circuits. It reduces the difficulty of translating quantum algorithms into runnable code across compatible backends.
Qiskit Runtime
Qiskit Runtime provides managed execution services for running Qiskit workloads on IBM Quantum systems. It helps teams reduce repetitive infrastructure work when submitting iterative quantum workloads to remote hardware.
Amazon Braket
Amazon Braket is a managed cloud service for designing, simulating, and running quantum algorithms. It gives developers one cloud interface for experimenting with multiple quantum hardware technologies.
Azure Quantum
Azure Quantum connects developers with quantum hardware providers, simulators, optimization tools, and quantum development resources. It helps teams explore quantum and optimization workflows within a familiar cloud computing environment.
Cirq
Cirq is a Python framework for writing, manipulating, and simulating quantum circuits for noisy devices. It helps researchers model hardware-aware circuits when idealized quantum programming abstractions are insufficient.
PennyLane
PennyLane is a Python library for quantum machine learning, differentiable programming, and hardware integration. It helps machine-learning practitioners optimize hybrid quantum models using familiar automatic differentiation workflows.
D-Wave Leap
D-Wave Leap provides cloud access to quantum annealing systems, hybrid solvers, demos, and developer resources. It helps optimization teams prototype difficult scheduling and routing models without operating annealing hardware.
Ocean SDK
Ocean SDK is D-Wave's open-source toolkit for building and submitting optimization problems to solvers. It helps developers express real-world optimization problems as binary quadratic models and constrained formulations.
Quantum Inspire
Quantum Inspire is a cloud platform offering quantum circuit simulation and access to supported quantum hardware. It helps learners and developers experiment with quantum programming through a web-based development environment.
Rigetti Quantum Cloud Services
Rigetti Quantum Cloud Services provides access to Rigetti quantum processors and related development infrastructure. It helps developers run experiments on superconducting quantum hardware without managing laboratory equipment.
pyQuil
pyQuil is a Python library for constructing Quil programs and working with Rigetti quantum systems. It helps Python developers create and execute Quil-based quantum programs with programmatic circuit control.
QuTiP
QuTiP is an open-source Python package for simulating quantum systems, dynamics, and open-system behavior. It helps scientists study quantum dynamics numerically when physical experiments are costly or inaccessible.
Microsoft Quantum Development Kit
Microsoft Quantum Development Kit provides tools, libraries, and languages for quantum algorithm development and simulation. It helps software teams learn quantum programming concepts through integrated development and resource-estimation tools.
Q#
Q# is Microsoft's programming language for expressing quantum algorithms and integrating them with classical programs. It helps developers separate quantum operations from classical control logic in complex algorithm implementations.
TensorFlow Quantum
TensorFlow Quantum supports hybrid quantum-classical machine learning research using TensorFlow and Cirq components. It helps researchers combine quantum circuit models with established machine-learning training pipelines.
qBraid
qBraid provides browser-based quantum development environments, software tools, and access to quantum computing resources. It helps developers avoid local environment setup when experimenting across quantum software frameworks.
Classiq
Classiq provides software for modeling quantum algorithms at a high level and synthesizing circuits. It helps teams manage circuit complexity when manually designing low-level quantum gate sequences becomes difficult.
TKET
TKET is a quantum software development kit for compiling and optimizing circuits across hardware architectures. It helps developers improve circuit compatibility and efficiency across devices with differing gate constraints.
CUDA-Q
CUDA-Q is NVIDIA's platform for developing hybrid quantum-classical applications using heterogeneous computing resources. It helps developers coordinate quantum workloads with accelerated classical computation in one programming model.
OpenQASM
OpenQASM is an open language specification for describing quantum circuits, operations, and measurement instructions. It helps tools exchange quantum programs through a standardized, human-readable circuit representation.
Qiskit Aer
Qiskit Aer provides high-performance quantum circuit simulators, including noise modeling and approximate simulation methods. It helps developers debug and benchmark circuits before spending limited time on remote quantum hardware.
Mitiq
Mitiq is an open-source Python library for applying error-mitigation techniques to quantum computation results. It helps researchers improve noisy hardware results when full quantum error correction remains unavailable.
Bloqade
Bloqade is a software toolkit for designing and simulating neutral-atom quantum computing programs. It helps developers work with neutral-atom device constraints without building custom simulation infrastructure.
Strangeworks
Strangeworks is a quantum computing platform that organizes access to multiple hardware and software tools. It helps organizations centralize quantum experimentation instead of managing separate vendor accounts and environments.
IBM Quantum Composer
IBM Quantum Composer provides a visual interface for building quantum circuits and running them on available backends. It helps learners avoid handwritten code when experimenting with gates, measurements, and basic circuit behavior.
Xanadu Cloud
Xanadu Cloud provides web-based access to photonic quantum computing resources and related development tools. It helps teams test photonic quantum workflows without managing specialized optical hardware themselves.
Strawberry Fields
Strawberry Fields is a Python library for designing and simulating continuous-variable photonic quantum circuits. It helps researchers model bosonic modes and photonic operations using familiar Python-based workflows.
OpenFermion
OpenFermion supplies tools for representing fermionic systems and translating chemistry problems into quantum operators. It helps quantum chemistry developers avoid manually deriving complex second-quantized Hamiltonians for algorithms.
ProjectQ
ProjectQ is an open-source software framework for programming quantum algorithms and compiling quantum circuits. It helps developers prototype algorithms while separating high-level program logic from target hardware details.
Qulacs
Qulacs is a high-performance quantum circuit simulator designed for Python and C++ applications. It helps developers run repeated circuit simulations faster when testing algorithms on classical machines.
QURI Parts
QURI Parts is a modular Python framework for quantum algorithms, circuit manipulation, and backend execution. It helps researchers assemble hybrid quantum workflows without tightly coupling projects to one provider.
Blueqat
Blueqat provides Python tools for creating quantum circuits and using multiple supported simulation backends. It helps Python users begin circuit experimentation with a concise programming interface and tutorials.
Quantum++
Quantum++ is a C++ library for simulating quantum circuits, states, measurements, and quantum information operations. It helps C++ developers add quantum simulation capabilities without implementing linear algebra primitives themselves.
QuEST
QuEST is an open-source simulator for executing quantum circuits on CPUs, GPUs, and distributed systems. It helps researchers simulate larger circuits by using available high-performance classical computing infrastructure.
BQSKit
BQSKit compiles quantum circuits through synthesis, optimization, and mapping for hardware-specific gate sets. It helps developers reduce circuit complexity before execution on devices with limited qubit connectivity.
Qibo
Qibo is an open-source framework for quantum simulation, circuit execution, and quantum machine learning research. It helps researchers switch between simulation backends while keeping algorithm code relatively consistent.
Qadence
Qadence is a Python framework for digital-analog quantum programming and differentiable quantum computing workflows. It helps developers express variational models that combine parameterized circuits with classical optimization.
Pulser
Pulser is a Python framework for programming neutral-atom quantum devices with pulse-level sequences. It helps researchers design atom-array protocols without manually managing low-level timing and control details.
Pasqal Cloud
Pasqal Cloud provides cloud access for developing and running workloads on neutral-atom quantum computing systems. It helps teams evaluate neutral-atom approaches without operating laboratory-grade atom control equipment.
Qristal
Qristal is a software development kit for building hybrid quantum-classical applications and workflows. It helps developers coordinate classical processing and quantum execution within a single programming environment.
Quantum Machines QUA
QUA is a domain-specific language for defining real-time quantum control programs on Quantum Machines hardware. It helps experimental teams describe pulse sequences and measurement logic more systematically than manual control scripting.
Q-CTRL Fire Opal
Q-CTRL Fire Opal provides software tools intended to improve quantum algorithm execution on noisy hardware. It helps users address unreliable hardware results by applying error-suppression techniques during execution.
Q-CTRL Boulder Opal
Q-CTRL Boulder Opal provides software for automating quantum control development and calibration workflows. It helps hardware teams reduce the manual effort involved in tuning complex qubit control signals.
Qedma QESEM
Qedma QESEM provides error-suppression and error-mitigation software for quantum computations on noisy processors. It helps users obtain more useful results when device noise distorts algorithm outputs.
Quantum Katas
Quantum Katas offers self-paced programming exercises that teach quantum computing concepts through coding challenges. It helps newcomers practice quantum programming skills through guided tasks rather than unstructured experimentation.
Quantum Computing Playground
Quantum Computing Playground lets users construct and simulate quantum circuits directly within a web browser. It helps beginners explore circuit behavior immediately without installing a local development environment.
Fermionic Quantum Emulator
Fermionic Quantum Emulator simulates fermionic quantum circuits and supports algorithms for quantum chemistry research. It helps researchers test fermionic algorithms classically before allocating scarce quantum hardware access.
Tequila
Tequila is a Python package for constructing quantum algorithms, especially variational quantum chemistry workflows. It helps chemistry researchers define objective functions and optimize circuit parameters across supported backends.
Yao.jl
Yao.jl is a Julia framework for quantum circuit simulation, differentiation, and algorithm development. It helps Julia users build quantum prototypes without leaving their existing scientific computing ecosystem.
Perceval
Perceval is a photonic quantum computing framework for designing, simulating, and running linear-optical circuits. It helps photonics developers test interferometer designs before committing experiments to compatible quantum hardware.
Quandela Cloud
Quandela Cloud provides browser-accessible photonic quantum processors and simulators for executing Perceval workloads. It gives teams cloud access to photonic computing resources without operating specialized laboratory equipment.
myQLM
myQLM is a quantum programming environment for creating, simulating, compiling, and executing quantum algorithms. It helps developers move from circuit prototypes to backend-specific execution through a unified development workflow.
Qaptiva
Qaptiva is a quantum application development environment combining quantum programming tools with high-performance computing resources. It helps enterprise teams integrate quantum experiments into existing computational workflows and infrastructure.
Orquestra
Orquestra is a workflow platform for orchestrating quantum and classical computing tasks across supported backends. It reduces the complexity of coordinating multi-step hybrid workflows spanning simulators, hardware, and classical processing.
Covalent
Covalent is a workflow orchestration platform that can coordinate quantum and classical computing tasks. It helps developers reproduce complex computational pipelines rather than manually managing dependent execution steps.
XACC
XACC is a hardware-agnostic framework for compiling, optimizing, and executing quantum programs across backends. It helps teams avoid rewriting quantum code when comparing supported hardware providers and simulators.
OpenQL
OpenQL is a quantum programming framework that compiles high-level algorithms into hardware-oriented instructions. It helps researchers translate quantum circuits into lower-level operations suitable for target architectures.
Quirk
Quirk is a browser-based quantum circuit simulator with interactive gates, visualizations, and state inspection. It helps beginners understand circuit behavior quickly without installing software or writing code.
QuantumOptics.jl
QuantumOptics.jl is a Julia framework for simulating open quantum systems, states, operators, and dynamics. It helps researchers model dissipation and measurement effects absent from idealized circuit-only simulations.
QuantumClifford.jl
QuantumClifford.jl is a Julia package for efficiently simulating stabilizer circuits and quantum error correction. It helps error-correction researchers study large Clifford-based circuits without prohibitively expensive state-vector simulation.
NetKet
NetKet is a machine-learning framework for studying quantum many-body systems with neural quantum states. It helps physicists explore complex many-body wavefunctions when conventional numerical methods become difficult to scale.
ITensor
ITensor is a tensor-network library for simulating quantum many-body systems and quantum circuits. It helps researchers represent structured quantum states more efficiently than full state-vector approaches.
QuSpin
QuSpin is a Python package for exact diagonalization and dynamics of quantum many-body systems. It helps condensed-matter researchers construct Hamiltonians and analyze small quantum systems with less custom code.
Qrack
Qrack is a quantum computer simulator supporting state-vector, stabilizer, and hybrid simulation approaches. It helps developers test varied circuit types locally before spending limited time on quantum hardware.
QCGPU
QCGPU is a GPU-accelerated quantum circuit simulator designed for constructing and evaluating quantum circuits. It helps developers accelerate local circuit experiments using graphics hardware already available on many workstations.
qsim
qsim is a high-performance Schrödinger-style quantum circuit simulator optimized for large circuit simulations. It helps researchers benchmark circuit designs classically before selecting hardware execution targets.
Qiskit Nature
Qiskit Nature provides tools for mapping chemistry and materials problems into quantum computing workflows. It helps scientists prepare electronic-structure problems without manually deriving qubit Hamiltonians from molecular data.
Qiskit Machine Learning
Qiskit Machine Learning provides quantum neural networks and kernels for hybrid machine-learning experiments. It helps developers connect quantum models with familiar machine-learning workflows and data-processing pipelines.
Qiskit Optimization
Qiskit Optimization converts optimization models into quantum-compatible formulations and algorithms. It helps operations teams experiment with quantum optimization methods without manually encoding every decision variable.
Qiskit Finance
Qiskit Finance provides quantum algorithms and application components for selected finance-oriented computational problems. It helps quantitative developers prototype quantum finance calculations using reusable domain-specific building blocks.
Qiskit Experiments
Qiskit Experiments provides reusable experiment classes for characterizing, calibrating, and analyzing quantum devices. It helps hardware users standardize measurement and analysis procedures instead of rebuilding experimental routines repeatedly.
QNE-ADK
QNE-ADK is a development kit for building and testing applications for quantum networks. It helps developers explore distributed quantum protocols before access to physical network infrastructure is available.
SeQUeNCe
SeQUeNCe is a discrete-event simulator for modeling quantum communication networks and their components. It helps network researchers evaluate entanglement distribution designs before deploying costly quantum-network hardware.
SimulaQron
SimulaQron simulates quantum network nodes, entanglement, and communication protocols for application development. It helps developers prototype distributed quantum applications without requiring a live quantum network.
Forest SDK
Forest SDK provides tools for writing, compiling, and running Quil quantum programs. It helps developers avoid building low-level execution workflows when working with Quil-based quantum systems.
Rigetti QVM
Rigetti QVM simulates Quil quantum programs locally or through configurable virtual quantum machines. It lets teams test circuit behavior before allocating limited time on physical quantum processors.
Quilc
Quilc compiles Quil programs into optimized instructions tailored for Rigetti quantum processor architectures. It reduces the difficulty of manually translating abstract circuits into hardware-ready gate instructions.
IonQ Cloud
IonQ Cloud provides web-based access for submitting quantum circuits to IonQ quantum computers. It gives developers a direct route to trapped-ion hardware without managing quantum infrastructure.
Quantinuum Nexus
Quantinuum Nexus is a cloud environment for developing, testing, and running quantum workloads. It centralizes quantum development tools and execution access that otherwise require separate environments.
InQuanto
InQuanto is a computational chemistry platform for building quantum algorithms for molecular simulations. It helps chemistry researchers structure complex electronic-structure workflows for quantum computing experiments.
Superstaq
Superstaq provides compilation and optimization services for executing quantum programs across supported hardware. It addresses hardware-specific circuit tuning that can make portable quantum programs difficult to run.
True-Q
True-Q provides quantum error suppression, characterization, and performance-management software tools. It helps teams reduce noise-related uncertainty when evaluating results from imperfect quantum hardware.
Q-CTRL Black Opal
Q-CTRL Black Opal offers interactive lessons and exercises for learning quantum computing concepts. It gives beginners structured practice when abstract quantum concepts are difficult to learn independently.
Riverlane Deltaflow
Riverlane Deltaflow is an error-correction stack designed to support fault-tolerant quantum computing. It helps hardware teams manage the complex decoding and control demands of quantum error correction.
Multiverse Computing Singularity
Multiverse Computing Singularity develops quantum and quantum-inspired optimization solutions for business problems. It helps organizations explore difficult optimization tasks without creating quantum algorithms from scratch.
QC Ware Forge
QC Ware Forge is a cloud platform for developing and running quantum and hybrid algorithms. It helps developers experiment with quantum workflows without assembling separate software and infrastructure components.
IQM Resonance
IQM Resonance provides software tools for programming and operating IQM quantum computing systems. It simplifies interaction with IQM hardware for teams unfamiliar with its underlying control stack.
AQT Cloud
AQT Cloud provides access to Alpine Quantum Technologies trapped-ion quantum computing resources. It helps researchers run trapped-ion experiments without operating specialized laboratory hardware themselves.
OQC Cloud
OQC Cloud provides a web service for accessing Oxford Quantum Circuits quantum computers. It offers developers an accessible path to superconducting quantum hardware for circuit testing.
Qamuy
Qamuy is a cloud service that supports quantum computing development and algorithm experimentation. It gives users a managed environment for exploring quantum methods without maintaining their own platform.
Stim
Stim is a fast simulator for quantum stabilizer circuits and error-correction experiments. It enables large stabilizer-code tests that would be impractical with general-purpose state-vector simulation.
PyMatching
PyMatching decodes quantum error-correction syndromes using minimum-weight perfect matching algorithms. It helps researchers turn noisy syndrome measurements into likely corrections for protected quantum information.
Qrisp
Qrisp is a Python framework for programming, simulating, and compiling quantum algorithms. It reduces repetitive circuit-management work for developers building quantum programs in Python.
TensorCircuit
TensorCircuit is a quantum machine-learning framework built around tensor-network simulation and automatic differentiation. It helps researchers train hybrid quantum models using familiar differentiable-programming workflows.
Qamomile
Qamomile is a Python framework for formulating and solving quantum optimization problems. It helps developers convert optimization models into quantum-algorithm workflows with less manual encoding.
Tangelo
Tangelo is a modular Python framework for quantum chemistry and molecular simulation workflows. It helps chemistry teams combine classical preprocessing with quantum molecular algorithms more systematically.
FQE
FQE simulates fermionic quantum wavefunctions for electronic-structure and quantum chemistry calculations. It helps researchers model fermionic systems without implementing specialized many-electron simulation routines themselves.
ScaffCC
ScaffCC compiles Scaffold quantum programs into lower-level representations for quantum circuit analysis. It helps programmers analyze resource requirements before attempting to execute large quantum algorithms.
LIQUi|>
LIQUi|> is a software architecture for designing, simulating, and optimizing quantum algorithms. It gives researchers integrated tools for prototyping algorithms before committing them to hardware experiments.
The most useful starting point depends on whether your immediate goal is learning, simulation, optimization, quantum machine learning, or hardware experimentation.