NVIDIA CUDA Quantum
0.3.0

Contents

  • Getting Started
    • Docker Image
      • Install the Docker Image
      • Use CUDA Quantum in a Terminal
      • Use CUDA Quantum in VS Code
    • Build CUDA Quantum from Source
    • Next Steps
  • Learn the Basics
    • CUDA Quantum Prerequisites
    • Compiling CUDA Quantum Programs
    • What is a CUDA Quantum Kernel?
    • Allocating Quantum Memory
    • Runtime Versus Compile-time Kernels
    • Generic Library Functions
    • Creating Kernels at Runtime
    • Variational Algorithms
    • Asynchronous Execution
    • Debugging and Verbose Logging
  • Advanced Topics
    • Create a new NVQIR Simulator
      • CircuitSimulator
      • Let’s see this in action
    • Downstream CMake Integration
    • Working with CUDA Quantum IR
    • Create an MLIR Pass for CUDA Quantum
  • Examples
    • CUDA Quantum in C++
      • Introduction
      • Computing Expectation Values
      • Multi-control Synthesis
      • Simulations with cuQuantum
    • CUDA Quantum in Python
      • Introduction
      • Bernstein-Vazirani
      • Variational Quantum Eigensolver
      • Quantum Approximate Optimization Algorithm
  • Simulator Backends
    • State Vector Simulators
      • cuQuantum single-GPU
      • cuQuantum multi-node multi-GPU
      • OpenMP CPU-only
    • Tensor Network Simulators
      • cuQuantum multi-node multi-GPU
  • Specifications
    • Language Specification
      • 1. Machine Model
      • 2. Namespace
      • 3. Quantum Types
        • 3.1. cudaq::qudit<Levels>
        • 3.2. cudaq::qubit
        • 3.3. Quantum Containers
      • 4. Quantum Operators
        • 4.1. cudaq::spin_op
      • 5. Quantum Operations
        • 5.1. Operations on cudaq::qubit
      • 6. Quantum Kernels
        • 6.1. Kernel Composability
        • 6.2. Allowed Kernel Classical Function Invocations
      • 7. Sub-circuit Synthesis
      • 8. Control Flow
      • 9. Just-in-Time Kernel Creation
      • 10. Quantum Patterns
        • 10.1. Compute-Action-Uncompute
      • 11. Platform
      • 12. Algorithmic Primitives
        • 12.1. cudaq::sample
        • 12.2. cudaq::observe
        • 12.3. cudaq::optimizer
        • 12.4. cudaq::gradient
      • 13. Example Programs
        • 13.1. Hello World - Simple Bell State
        • 13.2. GHZ State Preparation and Sampling
        • 13.3. Quantum Phase Estimation
        • 13.4. Deuteron Binding Energy Parameter Sweep
        • 13.5. Grover’s Algorithm
        • 13.6. Iterative Phase Estimation
    • QTX Specification
      • General Introduction
      • Motivation
      • QTX Types
  • API Reference
    • C++ API
      • Operators
      • Quantum
      • Common
      • Noise Modeling
      • Kernel Builder
      • Algorithms
      • Platform
      • Namespaces
    • Python API
      • Program Construction
        • make_kernel()
        • Kernel
      • Kernel Execution
        • sample()
        • sample_async()
        • observe()
        • observe_async()
        • vqe()
      • Backend Configuration
        • set_noise()
        • unset_noise()
        • set_qpu()
        • list_qpus()
      • Data Types
        • QuakeValue
        • qubit
        • qreg
        • SpinOperator
        • spin.i()
        • spin.x()
        • spin.y()
        • spin.z()
        • SampleResult
        • AsyncSampleResult
        • ObserveResult
        • AsyncObserveResult
        • OptimizationResult
        • Optimizers
        • Gradients
        • Noisy Simulation
  • Other Versions
    • 0.3.0
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